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• SQLAuthority News – Meeting with Allen Bailochan Tuladhar – An Unlimited Experience

  - by pinaldave

  Allen  Tuladhar I recently came back from my 9-day trip in Nepal and I must say that this is one of the best trips I had in my lifetime. Allen Bailochan Tuladhar is a wonderful person and an extreme enthusiast for Microsoft Technology. Allen is the Chief Executive Officer of Unlimited Technologies Pvt Ltd., Country Manager of Microsoft MDP Nepal, the Member Secretary of Nepali Language in Information Technology, and member of the Steering Committee of the Government of Nepal. He is the person who keeps the Nepal’s Tech Community constantly motivating and taking it to the next level. I have met Allen for many times before, but this was the first time I was with him in Kathmandu, Nepal. I was very impressed with the amount of the work he does in the community. During my 9 days of stay, every single day was a new lesson for me. I was amazed and overwhelmed with the many things he does every single day. Not only he does he work closely with Government of Nepal ministry, but he is also the most known person in the Student Community. His expertise in the technical subject matter is not limited to one technology; rather, I have seen him actively engaging himself in  discussions of various tech topics. Allen presending at TechMela Kathmandu, Nepal Allen is currently active in working out to localize Windows and Office and incorporate it using the Nepali language. I was able to witness and experience how the localization works, as well as the procedure on how to do such. If you know the whole localization process, you must have realized how big and daunting of a process it is. I was glad that I became a part of it. Prominent Personality of Nepal on Panel Discussion Another great opportunity I had when I was at Allen’s office is that I have learned how the radio technology talk show works. Nepali Radio station has the weekly program in their local language, in which MS technology is discussed and industry leaders are invited to talk about their experience with the technology. I found the program so interesting because it has so much variety in terms of technology subjects. Well, my understanding of Nepali language is limited but I did understand quite a bit. Ravi, Nutan, Pinal, Gandip I got the chance to meet lots of Database Professionals as well. People in Nepal are very polite even though they are very strong in their technology fundamentals. I had in-depth discussion regarding High Availability scenarios, as well Query Tuning. Database professionals from the leading financial sectors of Nepal wanted me to visit their Data Center and help them out with a few advances. In no time, Allen organized a visit for me. He sent me a Nepali-speaking expert from his own organization to accompany me in overcoming any difficulties while I was on my way helping this financial district. Pinal (SQLAuthority) and Deependra (Unlimited) When I was going to Nepal, I was really not sure if I would be able to stay busy for 9 days straight in Community-related activity. However, on the 9th day I realize that I can still stay here for more than 9 days because in every single day, I feel enthusiastic enough to do something new. Allen Bailochan Tuladhar Even though I was working  very hard every day, I hardly had the chance to work with and talk to him one-on-one for the first few days. One of the evenings, Allen invited me to his home and we discussed about his future ideas. I was really surprised to see how much a man can do for his technical community and for his country. When I asked Allen’s wife and daughter if they ever think it’s getting too much with regards to Allen putting tough efforts to the community, their answer was something I did not expect. I found out that Allen’s wife manages all the back office and logistics of the community events and his daughter manages the websites. I felt that they do not have any complain,  and instead, their whole family is in this activity as deeply as it can get, which I thought is a very good thing. Pinal and Allen I want to end this post with an interesting story that happened during our lunch hour at one of the Nepali restaurants. While we were having our lunch and having some chitchat, Allen suddenly stood up and called several people walking along the pavement. He introduced them all to me as Microsoft Student Partners. He asked all of them to order their favorite dish and called the waiter to inform that he will pick up their tab. Figuring out the question written on my face, he just said one sentence: “They are all future technology professionals who are going to make all of us proud.” I guess I have a lot of things to learn. Hats off to Allen! Pinal and Allen at Microsoft MDP Unlimited Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: MVP, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority Author Visit, T SQL, Technology

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• Inequality joins, Asynchronous transformations and Lookups : SSIS

  - by jamiet

  It is pretty much accepted by SQL Server Integration Services (SSIS) developers that synchronous transformations are generally quicker than asynchronous transformations (for a description of synchronous and asynchronous transformations go read Asynchronous and synchronous data flow components). Notice I said “generally” and not “always”; there are circumstances where using asynchronous transformations can be beneficial and in this blog post I’ll demonstrate such a scenario, one that is pretty common when building data warehouses. Imagine I have a [Customer] dimension table that manages information about all of my customers as a slowly-changing dimension. If that is a type 2 slowly changing dimension then you will likely have multiple rows per customer in that table. Furthermore you might also have datetime fields that indicate the effective time period of each member record. Here is such a table that contains data for four dimension members {Terry, Max, Henry, Horace}: Notice that we have multiple records per customer and that the [SCDStartDate] of a record is equivalent to the [SCDEndDate] of the record that preceded it (if there was one). (Note that I am on record as saying I am not a fan of this technique of storing an [SCDEndDate] but for the purposes of clarity I have included it here.) Anyway, the idea here is that we will have some incoming data containing [CustomerName] & [EffectiveDate] and we need to use those values to lookup [Customer].[CustomerId]. The logic will be: Lookup a [CustomerId] WHERE [CustomerName]=[CustomerName] AND [SCDStartDate] <= [EffectiveDate] AND [EffectiveDate] <= [SCDEndDate] The conventional approach to this would be to use a full cached lookup but that isn’t an option here because we are using inequality conditions. The obvious next step then is to use a non-cached lookup which enables us to change the SQL statement to use inequality operators: Let’s take a look at the dataflow: Notice these are all synchronous components. This approach works just fine however it does have the limitation that it has to issue a SQL statement against your lookup set for every row thus we can expect the execution time of our dataflow to increase linearly in line with the number of rows in our dataflow; that’s not good. OK, that’s the obvious method. Let’s now look at a different way of achieving this using an asynchronous Merge Join transform coupled with a Conditional Split. I’ve shown it post-execution so that I can include the row counts which help to illustrate what is going on here: Notice that there are more rows output from our Merge Join component than on the input. That is because we are joining on [CustomerName] and, as we know, we have multiple records per [CustomerName] in our lookup set. Notice also that there are two asynchronous components in here (the Sort and the Merge Join). I have embedded a video below that compares the execution times for each of these two methods. The video is just over 8minutes long. View on Vimeo  For those that can’t be bothered watching the video I’ll tell you the results here. The dataflow that used the Lookup transform took 36 seconds whereas the dataflow that used the Merge Join took less than two seconds. An illustration in case it is needed: Pretty conclusive proof that in some scenarios it may be quicker to use an asynchronous component than a synchronous one. Your mileage may of course vary. The scenario outlined here is analogous to performance tuning procedural SQL that uses cursors. It is common to eliminate cursors by converting them to set-based operations and that is effectively what we have done here. Our non-cached lookup is performing a discrete operation for every single row of data, exactly like a cursor does. By eliminating this cursor-in-disguise we have dramatically sped up our dataflow. I hope all of that proves useful. You can download the package that I demonstrated in the video from my SkyDrive at http://cid-550f681dad532637.skydrive.live.com/self.aspx/Public/BlogShare/20100514/20100514%20Lookups%20and%20Merge%20Joins.zip Comments are welcome as always. @Jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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• SQLAuthority News – The Best Quotes of “Who Wrote This?” Contest

  - by pinaldave

  I am a frequent reader of Brent Ozar PLF, it is one of my favorite blogs. A recent post announced a “Who Wrote This?” contest to see if readers could tell their three contributors apart based on some writing samples. Here are my favorite lines from the sample paragraphs, from each of the three “mystery authors.” Topic 1: Working with Bad Managers Mystery Author A – “Working with bad managers means working against my own happiness, and I’ve come to learn that there’s no changing bad managers.” I love this line because, as anyone who has had a bad manager knows, often a lot of self-doubt rises up. We all have to remember that sometimes the problem is out of our control. Mystery Author B – “Mentor your manager just like you would mentor a junior DBA.” Having a bad manager can be extremely depressing, and we often feel out of control. But we all need to remember that our work is a two-way street, and that sometimes we can subtly influence those above us. Mystery Author C – “The trick to working for all bad managers is to remember that they aren’t your parent. Take charge of your career.” We all also need to learn not to play the blame game. Would you rather stay in a place where you are unhappy, or would you rather take charge of your life? I hope most people would pick the latter. Topic 2: Working with Remote Teams Mystery Author A – “Like almost anything else the key is to make sure that everyone on the team has an understanding of how and when communication will occur.” Communication is so important. I cannot over emphasize how much. And this one line captures how I feel and even communicates the idea clearly! Mystery Author B – “The key to remote team success is verifiable trust: feeling confident that invisible team members are doing the right amount of the right thing at the right time.” I think this line not only captures the key aspects of remote work – verifiable work and trust – but there were so many lines that followed that I loved and could not fit here. The whole paragraph is a list for successful remote work. Everyone could benefit from reading it. Mystery Author C – “What seems clear, precise, and specific in one time zone comes across as vague, soupy, and just plain weird in another.” You know what? I just love this description. The author is right – sometimes vague e-mails really do seem soupy and weird! Topic 3: Working with Your Nemesis Mystery Author A – “Every job is temporary, but your reputation stays with you.” Everyone needs to remember this. The workplace is meant to be a professional arena, and many people have the opinion that work is temporary and disposable. No one wants to work with co-worker like that. Mystery Author B – “Unhealthy conflict is going to lead to leaving three week old tuna fish sandwiches in someone’s desk drawer.” Sometimes humor really is the best policy! Mystery Author C – “Oh no, it’s that guy.” This might seem like a weird phrase to choose as my favorite from an entire paragraph. But the whole piece was written in the form of a story of co-workers getting drunk and plotting against a nemesis. It was too funny to overlook, but too long to post here. A must read! Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology

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• Developer Training – Employee Morals and Ethics – Part 2

  - by pinaldave

  Developer Training - Importance and Significance - Part 1 Developer Training – Employee Morals and Ethics – Part 2 Developer Training – Difficult Questions and Alternative Perspective - Part 3 Developer Training – Various Options for Developer Training – Part 4 Developer Training – A Conclusive Summary- Part 5 If you have been reading this series of posts about Developer Training, you can probably determine where my mind lies in the matter – firmly “pro.”  There are many reasons to think that training is an excellent idea for the company.  In the end, it may seem like the company gets all the benefits and the employee has just wasted a few hours in a dark, stuffy room.  However, don’t let yourself be fooled, this is not the case! Training, Company and YOU! Do not forget, that as an employee, you are your company’s best asset.  Training is meant to benefit the company, of course, but in the end, YOU, the employee, is the one who walks away with a lot of useful knowledge in your head.  This post will discuss what to do with that knowledge, how to acquire it, and who should pay for it. Eternal Question – Who Pays for Training? When the subject of training comes up, money is often the sticky issue.  Some companies will argue that because the employee is the one who benefits the most, he or she should pay for it.  Of course, whenever money is discuss, emotions tend to follow along, and being told you have to pay money for mandatory training often results in very unhappy employees – the opposite result of what the training was supposed to accomplish.  Therefore, many companies will pay for the training.  However, if your company is reluctant to pay for necessary training, or is hesitant to pay for a specific course that is extremely expensive, there is always the art of compromise.  The employee and the company can split the cost of the training – after all, both the company and the employee will be benefiting. [Click on following image to answer important question] Click to Enlarge  This kind of “hybrid” pay scheme can be split any way that is mutually beneficial.  There is the obvious 50/50 split, but for extremely expensive classes or conferences, this still might be prohibitively expensive for the employee.  If you are facing this situation, here are some example solutions you could suggest to your employer:  travel reimbursement, paid leave, payment for only the tuition.  There are even more complex solutions – the company could pay back the employee after the training and project has been completed. Training is not Vacation Once the classes have been settled on, and the question of payment has been answered, it is time to attend your class or travel to your conference!  The first rule is one that your mothers probably instilled in you as well – have a good attitude.  While you might be looking forward to your time off work, going to an interesting class, hopefully with some friends and coworkers, but do not mistake this time as a vacation.  It can be tempting to only have fun, but don’t forget to learn as well.  I call this “attending sincerely.”  Pay attention, have an open mind and good attitude, and don’t forget to take notes!  You might be surprised how many people will want to see what you learned when you go back. Report Back the Learning When you get back to work, those notes will come in handy.  Your supervisor and coworkers might want you to give a short presentation about what you learned.  Attending these classes can make you almost a celebrity.  Don’t be too nervous about these presentations, and don’t feel like they are meant to be a test of your dedication.  Many people will be genuinely curious – and maybe a little jealous that you go to go learn something new.  Be generous with your notes and be willing to pass your learning on to others through mini-training sessions of your own. [Click on following image to answer important question] Click to Enlarge Practice New Learning On top of helping to train others, don’t forget to put your new knowledge to use!  Your notes will come in handy for this, and you can even include your plans for the future in your presentation when you return.  This is a good way to demonstrate to your bosses that the money they paid (hopefully they paid!) is going to be put to good use. Feedback to Manager When you return, be sure to set aside a few minutes to talk about your training with your manager.  Be perfectly honest – your manager wants to know the good and the bad.  If you had a truly miserable time, do not lie and say it was the best experience – you and others may be forced to attend the same training over and over again!  Of course, you do not want to sound like a complainer, so make sure that your summary includes the good news as well.  Your manager may be able to help you understand more of what they wanted you to learn, too. Win-Win Situation In the end, remember that training is supposed to be a benefit to the employer as well as the employee.  Make sure that you share your information and that you give feedback about how you felt the sessions went as well as how you think this training can be implemented at the company immediately. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Developer Training, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• Big Data – Buzz Words: Importance of Relational Database in Big Data World – Day 9 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned what is HDFS. In this article we will take a quick look at the importance of the Relational Database in Big Data world. A Big Question? Here are a few questions I often received since the beginning of the Big Data Series - Does the relational database have no space in the story of the Big Data? Does relational database is no longer relevant as Big Data is evolving? Is relational database not capable to handle Big Data? Is it true that one no longer has to learn about relational data if Big Data is the final destination? Well, every single time when I hear that one person wants to learn about Big Data and is no longer interested in learning about relational database, I find it as a bit far stretched. I am not here to give ambiguous answers of It Depends. I am personally very clear that one who is aspiring to become Big Data Scientist or Big Data Expert they should learn about relational database. NoSQL Movement The reason for the NoSQL Movement in recent time was because of the two important advantages of the NoSQL databases. Performance Flexible Schema In personal experience I have found that when I use NoSQL I have found both of the above listed advantages when I use NoSQL database. There are instances when I found relational database too much restrictive when my data is unstructured as well as they have in the datatype which my Relational Database does not support. It is the same case when I have found that NoSQL solution performing much better than relational databases. I must say that I am a big fan of NoSQL solutions in the recent times but I have also seen occasions and situations where relational database is still perfect fit even though the database is growing increasingly as well have all the symptoms of the big data. Situations in Relational Database Outperforms Adhoc reporting is the one of the most common scenarios where NoSQL is does not have optimal solution. For example reporting queries often needs to aggregate based on the columns which are not indexed as well are built while the report is running, in this kind of scenario NoSQL databases (document database stores, distributed key value stores) database often does not perform well. In the case of the ad-hoc reporting I have often found it is much easier to work with relational databases. SQL is the most popular computer language of all the time. I have been using it for almost over 10 years and I feel that I will be using it for a long time in future. There are plenty of the tools, connectors and awareness of the SQL language in the industry. Pretty much every programming language has a written drivers for the SQL language and most of the developers have learned this language during their school/college time. In many cases, writing query based on SQL is much easier than writing queries in NoSQL supported languages. I believe this is the current situation but in the future this situation can reverse when No SQL query languages are equally popular. ACID (Atomicity Consistency Isolation Durability) – Not all the NoSQL solutions offers ACID compliant language. There are always situations (for example banking transactions, eCommerce shopping carts etc.) where if there is no ACID the operations can be invalid as well database integrity can be at risk. Even though the data volume indeed qualify as a Big Data there are always operations in the application which absolutely needs ACID compliance matured language. The Mixed Bag I have often heard argument that all the big social media sites now a days have moved away from Relational Database. Actually this is not entirely true. While researching about Big Data and Relational Database, I have found that many of the popular social media sites uses Big Data solutions along with Relational Database. Many are using relational databases to deliver the results to end user on the run time and many still uses a relational database as their major backbone. Here are a few examples: Facebook uses MySQL to display the timeline. (Reference Link) Twitter uses MySQL. (Reference Link) Tumblr uses Sharded MySQL (Reference Link) Wikipedia uses MySQL for data storage. (Reference Link) There are many for prominent organizations which are running large scale applications uses relational database along with various Big Data frameworks to satisfy their various business needs. Summary I believe that RDBMS is like a vanilla ice cream. Everybody loves it and everybody has it. NoSQL and other solutions are like chocolate ice cream or custom ice cream – there is a huge base which loves them and wants them but not every ice cream maker can make it just right  for everyone’s taste. No matter how fancy an ice cream store is there is always plain vanilla ice cream available there. Just like the same, there are always cases and situations in the Big Data’s story where traditional relational database is the part of the whole story. In the real world scenarios there will be always the case when there will be need of the relational database concepts and its ideology. It is extremely important to accept relational database as one of the key components of the Big Data instead of treating it as a substandard technology. Ray of Hope – NewSQL In this module we discussed that there are places where we need ACID compliance from our Big Data application and NoSQL will not support that out of box. There is a new termed coined for the application/tool which supports most of the properties of the traditional RDBMS and supports Big Data infrastructure – NewSQL. Tomorrow In tomorrow’s blog post we will discuss about NewSQL. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• SQLAuthority News – Windows Efficiency Tricks and Tips – Personal Technology Tip

  - by pinaldave

  This is the second post in my series about my favorite Technology Tips, and I wanted to focus on my favorite Microsoft product.  Choosing just one topic to cover was too hard, though.  There are so many interesting things I have to share that I am forced to turn this second installment into a five-part post.  My five favorite Windows tips and tricks. 1) You can open multiple applications using the task bar. With the new Windows 7 taskbar, you can start navigating with just one click.  For example, you can launch Word by clicking on the icon on your taskbar, and if you are using multiple different programs at the same time, you can simply click on the icon to return to Word.  However, what if you need to open another Word document, or begin a new one?  Clicking on the Word icon is just going to bring you back to your original program.  Just click on the Word icon again while holding down the shift key, and you’ll open up a new document. 2) Navigate the screen with the touch of a button – and not your mouse button. Yes, we live in a pampered age.  We have access to amazing technology, and it just gets better every year.  But have you ever found yourself wishing that right when you were in the middle of something, you didn’t have to interrupt your work flow be reaching for your mouse to navigate through the screen?  Yes, we have all been guilty of this pampered wish.  But Windows has delivered!  Now you can move your application window using your arrow keys. Lock the window to the left, right hand screen: Win+left Arrow and Win+right Arrow Maximize & minimize: Win+up arrow and Win+down arrow Minimize all items on screen: Win+M Return to your original folder, or browse through all open windows: Alt+up arrow, Alt+Left Arrow, or Alt+right arrow Close down or reopen all windows: win+home 3) Are you one of the few people who still uses Command Prompt? You know who you are, and you aren’t ashamed to still use this option that so many people have forgotten about it.  You can easily access it by holding down the shift key while RIGHT clicking on any folder. 4) Quickly select multiple files without using your mouse. We all know how to select multiple files or folders by Ctrl-clicking or Shift-clicking multiple items.  But all of us have tried this, and then accidentally released Ctrl, only to lose all our precious work.  Now there is a way to select only the files you want through a check box system.  First, go to Windows Explorer, click Organize, and then “Folder and Search Options.”  Go to the View tab, and under advanced settings, you can find a box that says “Use check boxes to select items.”  Once this has been selected, you will be able to hover your mouse over any file and a check box will appear.  This makes selecting multiple, random files quick and easy. 5) Make more out of remote access. If you work anywhere in the tech field, you are probably the go-to for computer help with friends and family, and you know the usefulness of remote access (ok, some of us use this extensively at work, as well, but we all have friends and family who rely on our skills!).  Often it is necessary to restart a computer, which is impossible in remote access as the computer will not show the shutdown menu.  To force the computer to do your wishes, we return to Command Prompt.  Open Command Prompt and type “shutdown /s” for shutdown, or “shutdown /r” for restart. I hope you will find above five tricks which I use in my daily use very important. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology Tagged: Personal Technology

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• SQLAuthority News – Why VoIP Service Providers Should Think About NuoDB’s Geo Distribution

  - by Pinal Dave

  You can always tell when someone’s showing off their cool, cutting edge comms technology. They tend to raise their voice a lot. Back in the day they’d announce their gadget leadership to the rest of the herd by shouting into their cellphone. Usually the message was no more urgent than “Hi, I’m on my cellphone!” Now the same types will loudly name-drop a different technology to the rest of the airport lounge. “I’m leveraging the wifi,” a fellow passenger bellowed, the other day, as we filtered through the departure gate. Nobody needed to know that, but the subtext was “look at me everybody”. You can tell the really advanced mobile user – they tend to whisper. Their handset has a microphone (how cool is that!) and they know how to use it. Sometimes these shouty public broadcasters aren’t even connected anyway because the database for their Voice over IP (VoIP) platform can’t cope. This will happen if they are using a traditional SQL model to try and cope with a phone network which has far flung offices and hundreds of mobile employees. That, like shouting into your phone, is just wrong on so many levels. What VoIP needs now is a single, logical database across multiple servers in different geographies. It needs to be updated in real-time and automatically scaled out during times of peak demand. A VoIP system should scale up to handle increased traffic, but just as importantly is must then go back down in the off peak hours. Try this with a MySQL database. It can’t scale easily enough, so it will keep your developers busy. They’ll have spent many hours trying to knit the different databases together. Traditional relational databases can possibly achieve this, at a price. Mind you, you could extend baked bean cans and string to every point on the network and that would be no less elegant. That’s not really following engineering principles though is it? Having said that, most telcos and VoIP systems use a separate, independent solution for each office location, which they link together – loosely.  The more office locations, the more complex and expensive the solution becomes and so the more you spend on maintenance. Ideally, you’d have a fluid system that can automatically shift its shape as the need arises. That’s the point of software isn’t it – it adapts. Otherwise, we might as well return to the old days. A MySQL system isn’t exactly baked bean cans attached by string, but it’s closer in spirit to the old many teethed mechanical beast that was employed in the first type of automated switchboard. NuoBD’s NewSQL is designed to be a single database that works across multiple servers, which can scale easily, and scale on demand. That’s one system that gives high connectivity but no latency, complexity or maintenance issues. MySQL works in some circumstances, but a period of growth isn’t one of them. So as a company moves forward, the MySQL database can’t keep pace. Data storage and data replication errors creep in. Soon the diaspora of offices becomes a problem. Your telephone system isn’t just distributed, it is literally all over the place. Though voice calls are often a software function, some of the old habits of telephony remain. When you call an engineer out, some of them will listen to what you’re asking for and announce that it cannot be done. This is what happens if you ask, say, database engineers familiar with Oracle or Microsoft to fulfill your wish for a low maintenance system built on a single, fluid, scalable database. No can do, they’d say. In fact, I heard one shouting something similar into his VoIP handset at the airport. “I can’t get on the network, Mac. I’m on MySQL.” You can download NuoDB from here. “NuoDB provides the ability to replicate data globally in real-time, which is not available with any other product offering,” states Weeks.  “That alone is remarkable and it works. I’ve seen it. I’ve used it.  I’ve tested it. The ability to deploy NuoDB removes a tremendous burden from our support and engineering teams.” Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: NuoDB

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• SQLAuthority News – Technology and Online Learning – Personal Technology Tip

  - by pinaldave

  This is the fourth post in my series about Personal Technology Tips and Tricks, and I knew exactly what I wanted to write about.  But at first I was conflicted.   Is online learning really a personal tip?  Is it really a trick that no one knows?  However, I have decided to stick with my original idea because online learning is everywhere.  It’s a trick that we can’t – and shouldn’t – overlook.  Here are ten of my ideas about how we should be taking advantage of online learning. 1) Get ahead in the work place.  We all know that a good way to become better at your job, and to become more competitive for promotions and raises.  Many people overlook online learning as a way to get job training, though, thinking it is a path for people still seeking their high school or college diplomas.  But take a look at what companies like Pluralsight offer, and you might be pleasantly surprised. 2) Flexibility.  Some of us remember the heady days of college with nostalgia, others remember it with loathing.  A lot of bad memories come from remembering the strict scheduling and deadlines of college.  But with online learning, the classes fit into your free time – you don’t have to schedule your life around classes.  Even better, there are usually no homework or test deadlines, only one final deadline where all work must be completed.  This allows students to work at their own pace – my next point. 3) Learn at your own pace.  One thing traditional classes suffer from is that they are highly structured.  If you work more quickly than the rest of the class, or especially if you work more slowly, traditional classes do not work for you.  Online courses let you move as quickly or as slowly as you find necessary. 4) Fill gaps in your knowledge.  I’m sure I am not the only one who has thought to myself “I would love to take a course on X, Y, or Z.”  The problem is that it can be very hard to find the perfect class that teaches exactly what you’re interested in, at a time and a price that’s right.  But online courses are far easier to tailor exactly to your tastes. 5) Fits into your schedule.  Even harder to find than a class you’re interested in is one that fits into your schedule.  If you hold down a job – even a part time job – you know it’s next to impossible to find class times that work for you.  Online classes can be taken anytime, anywhere.  On your lunch break, in your car, or in your pajamas at the end of the day. 6) Student centered.  Online learning has to stay competitive.  There are hundreds, even thousands of options for students, and every provider has to find a way to lure in students and provide them with a good education.  The best kind of online classes know that they need to provide great classes, flexible scheduling, and high quality to attract students – and the student benefit from this kind of attention. 7) You can save money.  The average cost for a college diploma in the US is over $20,000.  I don’t know about you, but that is not the kind of money I just have lying around for a rainy day.  Sometimes I think I’d love to go back to school, but not for that price tag.  Online courses are much, much more affordable.  And even better, you can pick and choose what courses you’d like to take, and avoid all the “electives” in college. 8) Get access to the best minds in the business.  One of the perks of being the best in your field is that you are one person who knows the most about something.  If students are lucky, you will choose to share that knowledge with them on a college campus.  For the hundreds of other students who don’t live in your area and don’t attend your school, they are out of luck.  But luckily for them, more and more online courses is attracting the best minds in the business, and if you enroll online, you can take advantage of these minds, too. 9) Save your time.  Getting a four year degree is a great decision, and I encourage everyone to pursue their Bachelor’s – and beyond.  But if you have already tried to go to school, or already have a degree but are thinking of switching fields, four years of your life is a long time to go back and redo things.  Getting your online degree will save you time by allowing you to work at your own pace, set your own schedule, and take only the classes you’re interested in. 10) Variety of degrees and programs.  If you’re not sure what you’re interested in, or if you only need a few classes here and there to finish a program, online classes are perfect for you.  You can pick and choose what you’d like, and sample a wide variety without spending too much money. I hope I’ve outlined for everyone just a few ways that they could benefit from online learning.  If you’re still unconvinced, just check out a few of my other articles that expand more on these topics. Here are the blog posts relevent to developer trainings: Developer Training - Importance and Significance - Part 1 Developer Training – Employee Morals and Ethics – Part 2 Developer Training – Difficult Questions and Alternative Perspective - Part 3 Developer Training – Various Options for Developer Training – Part 4 Developer Training – A Conclusive Summary- Part 5 Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Developer Training, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Developer Training

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• SQL – Quick Start with Explorer Sections of NuoDB – Query NuoDB Database

  - by Pinal Dave

  This is the third post in the series of the blog posts I am writing about NuoDB. NuoDB is very innovative and easy-to-use product. I can clearly see how one can scale-out NuoDB with so much ease and confidence. In my very first blog post we discussed how we can install NuoDB (link), and in my second post I discussed how we can manage the NuoDB database transaction engines and storage managers with a few clicks (link). Note: You can Download NuoDB from here. In this post, we will learn how we can use the Explorer feature of NuoDB to do various SQL operations. NuoDB has a browser-based Explorer, which is very powerful and has many of the features any IDE would normally have. Let us see how it works in the following step-by-step tutorial. Let us go to the NuoDBNuoDB Console by typing the following URL in your browser: http://localhost:8080/ It will bring you to the QuickStart screen. Make sure that you have created the sample database. If you have not created sample database, click on Create Database and create it successfully. Now go to the NuoDB Explorer by clicking on the main tab, and it will ask you for your domain username and password. Enter the username as a domain and password as a bird. Alternatively you can also enter username as a quickstart and password as a quickstart. Once you enter the password you will be able to see the databases. In our example we have installed the Sample Database hence you will see the Test database in our Database Hierarchy screen. When you click on database it will ask for the database login. Note that Database Login is different from Domain login and you will have to enter your database login over here. In our case the database username is dba and password is goalie. Once you enter a valid username and password it will display your database. Further expand your database and you will notice various objects in your database. Once you explore various objects, select any database and click on Open. When you click on execute, it will display the SQL script to select the data from the table. The autogenerated script displays entire result set from the database. The NuoDB Explorer is very powerful and makes the life of developers very easy. If you click on List SQL Statements it will list all the available SQL statements right away in Query Editor. You can see the popup window in following image. Here is the cool thing for geeks. You can even click on Query Plan and it will display the text based query plan as well. In case of a SELECT, the query plan will be much simpler, however, when we write complex queries it will be very interesting. We can use the query plan tab for performance tuning of the database. Here is another feature, when we click on List Tables in NuoDB Explorer.  It lists all the available tables in the query editor. This is very helpful when we are writing a long complex query. Here is a relatively complex example I have built using Inner Join syntax. Right below I have displayed the Query Plan. The query plan displays all the little details related to the query. Well, we just wrote multi-table query and executed it against the NuoDB database. You can use the NuoDB Admin section and do various analyses of the query and its performance. NuoDB is a distributed database built on a patented emergent architecture with full support for SQL and ACID guarantees.  It allows you to add Transaction Engine processes to a running system to improve the performance of your system.  You can also add a second Storage Engine to your running system for redundancy purposes.  Conversely, you can shut down processes when you don’t need the extra database resources. NuoDB also provides developers and administrators with a single intuitive interface for centrally monitoring deployments. If you have read my blog posts and have not tried out NuoDB, I strongly suggest that you download it today and catch up with the learnings with me. Trust me though the product is very powerful, it is extremely easy to learn and use. Reference: Pinal Dave (http://blog.sqlauthority.com)   Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: NuoDB

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• SQLAuthority News – Android Efficiency Tips and Tricks – Personal Technology Tip #003

  - by pinaldave

  I use my phone for lots of things.  I use it mainly to replace my tablet – I can e-mail, take and edit photos, and do almost everything I can do on a laptop with this phone.  And I am sure that there are many of you out there just like me.  I personally have a Galaxy S3, which uses the Android operating system, and I have decided to feature it as the third installment of my Technology Tips and Tricks series. 1) Shortcut to your favorite contacts on home screen Access your most-called contacts easily from your home screen by holding your finger on any empty spot on the home screen.  A menu will pop up that allows you to choose Shortcuts, and Contact.  You can scroll through your contact list and then just tap on the name of the person you want to be able to dial with a single click. 2) Keep track of your data usage Yes, we all should keep a close eye on our data usage, because it is very easy to go over our limits and then end up with a giant bill at the end of the month.  Never get surprised when you open that mobile phone envelope again.  Go to Settings, then Data Usage, and you can find a quick rundown of your usage, how much data each app uses, and you can even set alarms to let you know when you are nearing the limits.   Better yet, you can set the phone to stop using data when it reaches a certain limit. 3) Bring back Good Grammar We often hear proclamations about the downfall of written language, and how texting abbreviations, misspellings, and lack of punctuation are the root of all evil.  Well, we can show all those doomsdayers that all is not lost by bringing punctuation back to texting.  Usually we leave it off when we text because it takes too long to get to the screen with all the punctuation options.  But now you can hold down the period (or “full stop”) button and a list of all the commonly-used punctuation marks will pop right up. 4) Apps, Apps, Apps and Apps And finally, I cannot end an article about smart phones without including a list of my favorite apps.  Here are a list of my Top 10 Applications on my Android (not counting social media apps). Advanced Task Killer – Keeps my phone snappy by closing un-necessary apps WhatsApp - my favorite alternate to Text SMS Flipboard - my ‘timepass’ moments Skype – keeps me close to friends and family GoogleMaps - I am never lost because of this one thing Amazon Kindle – Books my best friends DropBox - My data always safe Pluralsight Player – Learning never stops for me Samsung Kies Air – Connecting Phone to Computer Chrome – Replacing default browser I have not included any social media applications in the above list, but you can be sure that I am linked to Twitter, Facebook, Google+, LinkedIn, and YouTube. Reference: Pinal Dave (http://blog.SQLAuthority.com)   Filed under: Best Practices, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology Tagged: Android, Personal Technology

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• SQL – Quick Start with Admin Sections of NuoDB – Manage NuoDB Database

  - by Pinal Dave

  In the yesterday’s blog post we have seen that it is extremely easy to install the NuoDB database on your local machine. Now that the application is properly set up, let us explore NuoDB a bit more and get you familiar with the how it works and what the important areas of the NuoDB are that you should learn. As we have already installed NuoDB, now we will quickly start with two of the important areas in NuoDB: 1) Admin and 2) Explorer. In this blog post I will explore how the Admin Section of the NuoDB Console works.  In the next blog post we will learn how the Explorer Section works. Let us go to the NuoDB Console by typing the following URL in your browser: http://localhost:8080/ It will bring you to the following screen: On this screen you can see a big Start QuickStart button. Click on the button and it will bring you to following screen. On this screen you will find very important information about Domain and Database Settings. It is our habit that we do not read what is written on the screen and keep on clicking on continue without reading. While we are familiar with most wizards, we can often miss the very important message on the screen. Please note the information of Domain Settings and Database Settings from the following screen before clicking on Create Database. Domain Settings User: quickstart Password: quickstart Database Settings User: dba Password: goalie Database: test Schema: HOCKEY Once you click on the Create Database button it will immediately start creating sample database. First, it will start a Storage Manager and right after that it will start a Transaction Engine. Once the engine is up, it will Create a Schema and Sample Data. On the success of the creating the sample database it will show the following screen. Now is the time where we can explore the NuoDB Admin or NuoDB Explorer. If you click on Admin, it will first show following login screen. Enter for the username “domain” and for the password “bird”. Alternatively you can enter “quickstart”  twice for username and password.  It works as too. Once you enter into the Admin Section, on the left side you can see information about NuoDB and Admin Console and on the right side you can see the domain overview area. From this Administrative section you can do any of the following tasks: Create a view of the entire domain Add and remove databases Start and stop NuoDB Transaction Engines and Storage Managers Monitor transaction across all the NuoDB databases On the right side of the Admin Section we can see various information about a particular NuoDB domain. You can quickly view various alerts, find out information about the number of host machines that are provisioned for the domain, and see the number of databases and processes that are running in the domain. If you click on the “1 host” link you will be able to see various processes, CPU usage and other information. In the Processes Section you can see that there are two different types of processes. The first process (where you can see the floppy drive icon) represents a running Storage Manager process and the second process a running Transaction Engine process. You can click on the links for the Storage Manager and Transaction Engine to see further statistical details right down to the last byte of the data. There are various charts available for analysis as well. I think the product is quite mature and the user can add different monitor charts to the Admin section. Additionally, the Admin section is the place where you can create and manage new databases. I hope today’s tutorial gives you enough confidence that you can try out NuoDB and checkout various administrative activities with the database. I am personally impressed with their dashboard related to various counters. For more information about how the NuoDB architecture works and what a Storage Manager or Transaction Engine does, check out this short video with NuoDB CTO Seth Proctor:  In the next blog post, we will try out the Explorer section of NuoDB, which allows us to run SQL queries and write SQL code.  Meanwhile, I strongly suggest you download and install NuoDB and get yourself familiar with the product. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: NuoDB

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• Big Data – Role of Cloud Computing in Big Data – Day 11 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned the importance of the NewSQL. In this article we will understand the role of Cloud in Big Data Story What is Cloud? Cloud is the biggest buzzword around from last few years. Everyone knows about the Cloud and it is extremely well defined online. In this article we will discuss cloud in the context of the Big Data. Cloud computing is a method of providing a shared computing resources to the application which requires dynamic resources. These resources include applications, computing, storage, networking, development and various deployment platforms. The fundamentals of the cloud computing are that it shares pretty much share all the resources and deliver to end users as a service.  Examples of the Cloud Computing and Big Data are Google and Amazon.com. Both have fantastic Big Data offering with the help of the cloud. We will discuss this later in this blog post. There are two different Cloud Deployment Models: 1) The Public Cloud and 2) The Private Cloud Public Cloud Public Cloud is the cloud infrastructure build by commercial providers (Amazon, Rackspace etc.) creates a highly scalable data center that hides the complex infrastructure from the consumer and provides various services. Private Cloud Private Cloud is the cloud infrastructure build by a single organization where they are managing highly scalable data center internally. Here is the quick comparison between Public Cloud and Private Cloud from Wikipedia:   Public Cloud Private Cloud Initial cost Typically zero Typically high Running cost Unpredictable Unpredictable Customization Impossible Possible Privacy No (Host has access to the data Yes Single sign-on Impossible Possible Scaling up Easy while within defined limits Laborious but no limits Hybrid Cloud Hybrid Cloud is the cloud infrastructure build with the composition of two or more clouds like public and private cloud. Hybrid cloud gives best of the both the world as it combines multiple cloud deployment models together. Cloud and Big Data – Common Characteristics There are many characteristics of the Cloud Architecture and Cloud Computing which are also essentially important for Big Data as well. They highly overlap and at many places it just makes sense to use the power of both the architecture and build a highly scalable framework. Here is the list of all the characteristics of cloud computing important in Big Data Scalability Elasticity Ad-hoc Resource Pooling Low Cost to Setup Infastructure Pay on Use or Pay as you Go Highly Available Leading Big Data Cloud Providers There are many players in Big Data Cloud but we will list a few of the known players in this list. Amazon Amazon is arguably the most popular Infrastructure as a Service (IaaS) provider. The history of how Amazon started in this business is very interesting. They started out with a massive infrastructure to support their own business. Gradually they figured out that their own resources are underutilized most of the time. They decided to get the maximum out of the resources they have and hence  they launched their Amazon Elastic Compute Cloud (Amazon EC2) service in 2006. Their products have evolved a lot recently and now it is one of their primary business besides their retail selling. Amazon also offers Big Data services understand Amazon Web Services. Here is the list of the included services: Amazon Elastic MapReduce – It processes very high volumes of data Amazon DynammoDB – It is fully managed NoSQL (Not Only SQL) database service Amazon Simple Storage Services (S3) – A web-scale service designed to store and accommodate any amount of data Amazon High Performance Computing – It provides low-tenancy tuned high performance computing cluster Amazon RedShift – It is petabyte scale data warehousing service Google Though Google is known for Search Engine, we all know that it is much more than that. Google Compute Engine – It offers secure, flexible computing from energy efficient data centers Google Big Query – It allows SQL-like queries to run against large datasets Google Prediction API – It is a cloud based machine learning tool Other Players Besides Amazon and Google we also have other players in the Big Data market as well. Microsoft is also attempting Big Data with the Cloud with Microsoft Azure. Additionally Rackspace and NASA together have initiated OpenStack. The goal of Openstack is to provide a massively scaled, multitenant cloud that can run on any hardware. Thing to Watch The cloud based solutions provides a great integration with the Big Data’s story as well it is very economical to implement as well. However, there are few things one should be very careful when deploying Big Data on cloud solutions. Here is a list of a few things to watch: Data Integrity Initial Cost Recurring Cost Performance Data Access Security Location Compliance Every company have different approaches to Big Data and have different rules and regulations. Based on various factors, one can implement their own custom Big Data solution on a cloud. Tomorrow In tomorrow’s blog post we will discuss about various Operational Databases supporting Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Big Data – What is Big Data – 3 Vs of Big Data – Volume, Velocity and Variety – Day 2 of 21

  - by Pinal Dave

  Data is forever. Think about it – it is indeed true. Are you using any application as it is which was built 10 years ago? Are you using any piece of hardware which was built 10 years ago? The answer is most certainly No. However, if I ask you – are you using any data which were captured 50 years ago, the answer is most certainly Yes. For example, look at the history of our nation. I am from India and we have documented history which goes back as over 1000s of year. Well, just look at our birthday data – atleast we are using it till today. Data never gets old and it is going to stay there forever.  Application which interprets and analysis data got changed but the data remained in its purest format in most cases. As organizations have grown the data associated with them also grew exponentially and today there are lots of complexity to their data. Most of the big organizations have data in multiple applications and in different formats. The data is also spread out so much that it is hard to categorize with a single algorithm or logic. The mobile revolution which we are experimenting right now has completely changed how we capture the data and build intelligent systems.  Big organizations are indeed facing challenges to keep all the data on a platform which give them a  single consistent view of their data. This unique challenge to make sense of all the data coming in from different sources and deriving the useful actionable information out of is the revolution Big Data world is facing. Defining Big Data The 3Vs that define Big Data are Variety, Velocity and Volume. Volume We currently see the exponential growth in the data storage as the data is now more than text data. We can find data in the format of videos, musics and large images on our social media channels. It is very common to have Terabytes and Petabytes of the storage system for enterprises. As the database grows the applications and architecture built to support the data needs to be reevaluated quite often. Sometimes the same data is re-evaluated with multiple angles and even though the original data is the same the new found intelligence creates explosion of the data. The big volume indeed represents Big Data. Velocity The data growth and social media explosion have changed how we look at the data. There was a time when we used to believe that data of yesterday is recent. The matter of the fact newspapers is still following that logic. However, news channels and radios have changed how fast we receive the news. Today, people reply on social media to update them with the latest happening. On social media sometimes a few seconds old messages (a tweet, status updates etc.) is not something interests users. They often discard old messages and pay attention to recent updates. The data movement is now almost real time and the update window has reduced to fractions of the seconds. This high velocity data represent Big Data. Variety Data can be stored in multiple format. For example database, excel, csv, access or for the matter of the fact, it can be stored in a simple text file. Sometimes the data is not even in the traditional format as we assume, it may be in the form of video, SMS, pdf or something we might have not thought about it. It is the need of the organization to arrange it and make it meaningful. It will be easy to do so if we have data in the same format, however it is not the case most of the time. The real world have data in many different formats and that is the challenge we need to overcome with the Big Data. This variety of the data represent  represent Big Data. Big Data in Simple Words Big Data is not just about lots of data, it is actually a concept providing an opportunity to find new insight into your existing data as well guidelines to capture and analysis your future data. It makes any business more agile and robust so it can adapt and overcome business challenges. Tomorrow In tomorrow’s blog post we will try to answer discuss Evolution of Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Developer Training – Difficult Questions and Alternative Perspective – Part 3

  - by pinaldave

  Developer Training - Importance and Significance - Part 1 Developer Training – Employee Morals and Ethics – Part 2 Developer Training – Difficult Questions and Alternative Perspective - Part 3 Developer Training – Various Options for Developer Training – Part 4 Developer Training – A Conclusive Summary- Part 5 Congratulations!  You are now a fully trained developer!  You spent hours in a classroom, watching webinars, and reading materials.  You are now more educated and more prepared than ever before.  Now what? Stay or Quit The simple answer is that you now have two options – stay where you are or move on to a new job.  Even though you might now be smarter than you have ever felt before, this can still be a tough decision to make.  You feel extra trained and ready for a promotion or a raise, but you and your employer might not see eye to eye on this issue.  The logical conclusion is to go on a job hunt, but that might not be the most ethical thing to do. Click Image to Enlarge Manager’s Perspective Click Image to Enlarge Try to see the issue from your manager’s perspective.  You feel that you have just spent a lot of time and energy getting trained, and you should be rewarded.  But they have invested their time and energy in you.  They might see the training as a way to help you complete the goals they require from you, or as a way to help you complete tasks that will ultimately end in a reward or promotion. Moral Compass As in most cases, honesty is the best policy.  Be open with your manager about your expectations, and ask them to explain their goals.  When there is open and honest communication, everyone can walk away happy.  If you’re unable to discuss with your manager for one reason or another, just try to keep the company policy in mind and follow your own moral compass.  If all else fails, and your company is unwilling to make allowances for your new value, offer to pay the company back for the training before moving on your way. Whether you stay at your old job or move on to a new one, you are still faced with the question of what you’re going to do with all your new knowledge.  If you feel comfortable, offer to train others around you who are interested in the same subject.  This can look very good on your resume, and if you are working in a team environment it is sure to help you in the long run! What Next? You can even offer to train other trainers at the company – managers, those above you, or even report back to your original trainer about how your education is helping you in the work place.  Obviously this should be completely voluntary on the trainer’s part.  Taking advice from a “newbie” may not be their favorite idea, but it could also show the company that you are open to expanding your horizons and being helpful to everyone around you. Last in Line for Opportunity Click Image to Enlarge At this time, let us address a subject related to training and what to do with it – what if you are always overlooked for training?  This can as thorny a problem as receiving training in the first place.  The best advice is to let your supervisors know that you are always open to training and very interested in certain topics.  If you are consistently passed over, be patient.  Your turn will probably come, but the company as a whole has to focus on other problems at the moment.  If you feel that there are more personal issues at play, be sure to bring this up with your supervisor in a calm and professional manager so that everything can be worked out best for both parties. You, Yourself and Your Future! If all else fails, offer to pay for training yourself.  Perhaps money problems are at the root of being passed over.  Even if there are other reasons, offering to pay your own way shows your dedication and could work out well for you in the long run.  Always remember – in life you have to go out and make your own way, you cannot always sit and wait for things to land in your lap. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Developer Training, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• SQLAuthority News – Android Efficiency Tips and Tricks – Personal Technology Tip

  - by pinaldave

  I use my phone for lots of things.  I use it mainly to replace my tablet – I can e-mail, take and edit photos, and do almost everything I can do on a laptop with this phone.  And I am sure that there are many of you out there just like me.  I personally have a Galaxy S3, which uses the Android operating system, and I have decided to feature it as the third installment of my Technology Tips and Tricks series. 1) Shortcut to your favorite contacts on home screen Access your most-called contacts easily from your home screen by holding your finger on any empty spot on the home screen.  A menu will pop up that allows you to choose Shortcuts, and Contact.  You can scroll through your contact list and then just tap on the name of the person you want to be able to dial with a single click. 2) Keep track of your data usage Yes, we all should keep a close eye on our data usage, because it is very easy to go over our limits and then end up with a giant bill at the end of the month.  Never get surprised when you open that mobile phone envelope again.  Go to Settings, then Data Usage, and you can find a quick rundown of your usage, how much data each app uses, and you can even set alarms to let you know when you are nearing the limits.   Better yet, you can set the phone to stop using data when it reaches a certain limit. 3) Bring back Good Grammar We often hear proclamations about the downfall of written language, and how texting abbreviations, misspellings, and lack of punctuation are the root of all evil.  Well, we can show all those doomsdayers that all is not lost by bringing punctuation back to texting.  Usually we leave it off when we text because it takes too long to get to the screen with all the punctuation options.  But now you can hold down the period (or “full stop”) button and a list of all the commonly-used punctuation marks will pop right up. 4) Apps, Apps, Apps and Apps And finally, I cannot end an article about smart phones without including a list of my favorite apps.  Here are a list of my Top 10 Applications on my Android (not counting social media apps). Advanced Task Killer – Keeps my phone snappy by closing un-necessary apps WhatsApp - my favorite alternate to Text SMS Flipboard - my ‘timepass’ moments Skype – keeps me close to friends and family GoogleMaps - I am never lost because of this one thing Amazon Kindle – Books my best friends DropBox - My data always safe Pluralsight Player – Learning never stops for me Samsung Kies Air – Connecting Phone to Computer Chrome – Replacing default browser I have not included any social media applications in the above list, but you can be sure that I am linked to Twitter, Facebook, Google+, LinkedIn, and YouTube. Reference: Pinal Dave (http://blog.SQLAuthority.com)   Filed under: Best Practices, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology Tagged: Android, Personal Technology

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• SQLAuthority News – Storing Data and Files in Cloud – Dropbox – Personal Technology Tip

  - by pinaldave

  I thought long and hard about doing a Personal Technology Tips series for this blog.  I have so many tips I’d like to share.  I am on my computer almost all day, every day, so I have a treasure trove of interesting tidbits I like to share if given the chance.  The only thing holding me back – which tip to share first?  The first tip obviously has the weight of seeming like the most important.  But this would mean choosing amongst my favorite tricks and shortcuts.  This is a hard task. Source: Dropbox.com My Dropbox I have finally decided, though, and have determined that the first Personal Technology Tip may not be the most secret or even trickier to master – in fact, it is probably the easiest.  My today’s Personal Technology Tip is Dropbox. I hope that all of you are nodding along in recognition right now.  If you do not use Dropbox, or have not even heard of it before, get on the internet and find their site.  You won’t be disappointed.  A quick recap for those in the dark: Dropbox is an online storage site with a lot of additional syncing and cloud-computing capabilities.  Now that we’ve covered the basics, let’s explore some of my favorite options in Dropbox. Collaborate with All The first thing I love about Dropbox is the ability it gives you to collaborate with others.  You can share files easily with other Dropbox users, and they can alter them, share them with you, all while keeping track of different versions in on easy place.  I’d like to see anyone try to accomplish that key idea – “easily” – using e-mail versions and multiple computers.  It’s even difficult to accomplish using a shared network. Afraid that this kind of ease looks too good to be true?  Afraid that maybe there isn’t enough storage space, or the user interface is confusing?  Think again.  There is plenty of space – you can get 2 GB with just a free account, and upgrades are inexpensive and go up to 100 GB of storage.  And the user interface is so easy that anyone can learn to use it. What I use Dropbox for I love Dropbox because I give a lot of presentations and often they are far from home.  I can keep my presentations on Dropbox and have easy access to them anywhere, without needing to have my whole computer with me.  This is just one small way that you can use Dropbox. You can sync your entire hard drive, or hard drives if you have multiple computers (home, work, office, shared), and you can set Dropbox to automatically sync files on a certain timeline, or whenever Dropbox notices that they’ve been changed. Why I love Dropbox Dropbox has plenty of storage, but 2 GB still has a hard time competing with the average desktop’s storage space.  So what if you want to sync most of your files, but only the ones you use the most and share between work and home, and not all your files (especially large files like pictures and videos)?  You can use selective sync to choose which files to sync. Above all, my favorite feature is LanSync.  Dropbox will search your Local Area Network (LAN) for new files and sync them to Dropbox, as well as downloading the new version to all the shared files across the network.  That means that if move around on different computers at work or at home, you will have the same version of the file every time.  Or, other users on the LAN will have access to the new version, which makes collaboration extremely easy. Ref: rzfeeser.com Dropbox has so many other features that I feel like I could create a Personal Technology Tips series devoted entirely to Dropbox.  I’m going to create a bullet list here to make things shorter, but I strongly encourage you to look further into these into options if it sounds like something you would use. Theft Recover Home Security File Hosting and Sharing Portable Dropbox Sync your iCal calendar Password Storage What is your favorite tool and why? I could go on and on, but I will end here.  In summary – I strongly encourage everyone to investigate Dropbox to see if it’s something they would find useful.  If you use Dropbox and know of a great feature I failed to mention, please share it with me, I’d love to hear how everyone uses this program. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology Tagged: Personal Technology

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• Big Data – Beginning Big Data – Day 1 of 21

  - by Pinal Dave

  What is Big Data? I want to learn Big Data. I have no clue where and how to start learning about it. Does Big Data really means data is big? What are the tools and software I need to know to learn Big Data? I often receive questions which I mentioned above. They are good questions and honestly when we search online, it is hard to find authoritative and authentic answers. I have been working with Big Data and NoSQL for a while and I have decided that I will attempt to discuss this subject over here in the blog. In the next 21 days we will understand what is so big about Big Data. Big Data – Big Thing! Big Data is becoming one of the most talked about technology trends nowadays. The real challenge with the big organization is to get maximum out of the data already available and predict what kind of data to collect in the future. How to take the existing data and make it meaningful that it provides us accurate insight in the past data is one of the key discussion points in many of the executive meetings in organizations. With the explosion of the data the challenge has gone to the next level and now a Big Data is becoming the reality in many organizations. Big Data – A Rubik’s Cube I like to compare big data with the Rubik’s cube. I believe they have many similarities. Just like a Rubik’s cube it has many different solutions. Let us visualize a Rubik’s cube solving challenge where there are many experts participating. If you take five Rubik’s cube and mix up the same way and give it to five different expert to solve it. It is quite possible that all the five people will solve the Rubik’s cube in fractions of the seconds but if you pay attention to the same closely, you will notice that even though the final outcome is the same, the route taken to solve the Rubik’s cube is not the same. Every expert will start at a different place and will try to resolve it with different methods. Some will solve one color first and others will solve another color first. Even though they follow the same kind of algorithm to solve the puzzle they will start and end at a different place and their moves will be different at many occasions. It is  nearly impossible to have a exact same route taken by two experts. Big Market and Multiple Solutions Big Data is exactly like a Rubik’s cube – even though the goal of every organization and expert is same to get maximum out of the data, the route and the starting point are different for each organization and expert. As organizations are evaluating and architecting big data solutions they are also learning the ways and opportunities which are related to Big Data. There is not a single solution to big data as well there is not a single vendor which can claim to know all about Big Data. Honestly, Big Data is too big a concept and there are many players – different architectures, different vendors and different technology. What is Next? In this 31 days series we will be exploring many essential topics related to big data. I do not claim that you will be master of the subject after 31 days but I claim that I will be covering following topics in easy to understand language. Architecture of Big Data Big Data a Management and Implementation Different Technologies – Hadoop, Mapreduce Real World Conversations Best Practices Tomorrow In tomorrow’s blog post we will try to answer one of the very essential questions – What is Big Data? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• BIP BIServer Query Debug

  - by Tim Dexter

  With some help from Bryan, I have uncovered a way of being able to debug or at least log what BIServer is doing when BIP sends it a query request. This is not for those of you querying the database directly but if you are using the BIServer and its datamodel to fetch data for a BIP report. If you have written or used the query builder against BIServer and when you run the report it chokes with a cryptic message, that you have no clue about, read on. When BIP runs a piece of BIServer logical SQL to fetch data. It does not appear to validate it, it just passes it through, so what is BIServer doing on its end? As you may know, you are not writing regular physical sql its actually logical sql e.g. select Jobs."Job Title" as "Job Title", Employees."Last Name" as "Last Name", Employees.Salary as Salary, Locations."Department Name" as "Department Name", Locations."Country Name" as "Country Name", Locations."Region Name" as "Region Name" from HR.Locations Locations, HR.Employees Employees, HR.Jobs Jobs The tables might not even be a physical tables, we don't care, that's what the BIServer and its model are for. You have put all the effort into building the model, just go get me the data from where ever it might be. The BIServer takes the logical sql and uses its vast brain to work out what the physical SQL is, executes it and passes the result back to BIP. select distinct T32556.JOB_TITLE as c1, T32543.LAST_NAME as c2, T32543.SALARY as c3, T32537.DEPARTMENT_NAME as c4, T32532.COUNTRY_NAME as c5, T32577.REGION_NAME as c6 from JOBS T32556, REGIONS T32577, COUNTRIES T32532, LOCATIONS T32569, DEPARTMENTS T32537, EMPLOYEES T32543 where ( T32532.COUNTRY_ID = T32569.COUNTRY_ID and T32532.REGION_ID = T32577.REGION_ID and T32537.DEPARTMENT_ID = T32543.DEPARTMENT_ID and T32537.LOCATION_ID = T32569.LOCATION_ID and T32543.JOB_ID = T32556.JOB_ID ) Not a very tough example I know but you get the idea. How do I know what the BIServer is up to? How can I find out what the issue might be if BIServer chokes on my query? There are a couple of steps: In the Administrator tool you need to set the logging level for the Administrator user to something greater than the default '0'. '7' is going to give you the max. Just remember to take it back down after you have finished the debug. I needed to bounce my BIServer service Now here's the secret sauce. Prefix the following to your BIP query set variable LOGLEVEL = 7; Set the log level to that you have in the admin tool Now run your BIP report. With the prefix in place; BIServer will write to the NQQuery.log file. This is located in the ./OracleBI/server/Log directory. In there you are going to find the complete process the BIServer has gone through to try and get the data back for you A quick note, if the BIServer can, its going to hit that great BIEE cache to get your data and you may not see the full log. IF this is the case. Get inot hte Administration page (via the browser login) and clear out your BIP report cursor. Then re-run. This will hopefully help out if you are trying to debug that annoying BIP report that will not run or is getting some strange data. Don't forget to turn that logging level back down once you are done. This will avoid the DBA screaming at you for sucking up all the disk space on the system.

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• Archiving SQLHelp tweets

  - by jamiet

  #SQLHelp is a Twitter hashtag that can be used by any Twitter user to get help from the SQL Server community. I think its fair to say that in its first year of being it has proved to be a very useful resource however Kendra Little (@kendra_little) made a very salient point yesterday when she tweeted: Is there a way to search the archives of #sqlhelp Trying to remember answer to a question I know I saw a couple months ago http://twitter.com/#!/Kendra_Little/status/15538234184441856 This highlights an inherent problem with Twitter’s search capability – it simply does not reach far enough back in time. I have made steps to remedy that situation by putting into place two initiatives to archive Tweets that contain the #sqlhelp hashtag. The Archivist http://archivist.visitmix.com/ is a free service that, quite simply, archives a history of tweets that contain a given search term by periodically polling Twitter’s search service with that search term and subsequently displaying a dashboard providing an aggregate view of those tweets for things like tweet volume over time, top users and top words (Archivist FAQ). I have set up an archive on The Archivist for “sqlhelp” which you can view at http://archivist.visitmix.com/jamiet/7. Here is a screenshot of the SQLHelp dashboard 36 minutes after I set it up: There is lots of good information in there, including the fact that Jonathan Kehayias (@SQLSarg) is the most active SQLHelp tweeter (I suspect as an answerer rather than a questioner ) and that SSIS has proven to be a rather (ahem) popular subject!! Datasift The Archivist has its uses though for our purposes it has a couple of downsides. For starters you cannot search through an archive (which is what Kendra was after) and nor can you export the contents of the archive for offline analysis. For those functions we need something a bit more heavyweight and for that I present to you Datasift. Datasift is a tool (currently an alpha release) that allows you to search for tweets and provide them through an object called a Datasift stream. That sounds very similar to normal Twitter search though it has one distinct advantage that other Twitter search tools do not – Datasift has access to Twitter’s Streaming API (aka the Twitter Firehose). In addition it has access to a lot of other rather nice features: It provides the Datasift API that allows you to consume the output of a Datasift stream in your tool of choice (bring on my favourite ultimate mashup tool J ) It has a query language (called Filtered Stream Definition Language – FSDL for short) A Datasift stream can consume (and filter) other Datasift streams Datasift can (and does) consume services other than Twitter If I refer to Datasift as “ETL for tweets” then you may get some sort of idea what it is all about. Just as I did with The Archivist I have set up a publicly available Datasift stream for “sqlhelp” at http://datasift.net/stream/1581/sqlhelp. Here is the FSDL query that provides the data: twitter.text contains "sqlhelp" Pretty simple eh? At the current time it provides little more than a rudimentary dashboard but as Datasift is currently an alpha release I think this may be worth keeping an eye on. The real value though is the ability to consume the output of a stream via Datasift’s RESTful API, observe: http://api.datasift.net/stream.xml?stream_identifier=c7015255f07e982afdeebdf1ae6e3c0d&username=jamiet&api_key=XXXXXXX (Note that an api_key is required during the alpha period so, given that I’m not supplying my api_key, this URI will not work for you) Just to prove that a Datasift stream can indeed consume data from another stream I have set up a second stream that further filters the first one for tweets containing “SSIS”. That one is at http://datasift.net/stream/1586/ssis-sqlhelp and here is the FSDL query: rule "414c9845685ff8d2548999cf3162e897" and (interaction.content contains "ssis") When Datasift moves beyond alpha I’ll re-assess how useful this is going to be and post a follow-up blog. @Jamiet

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• Problem with apt-get update: failed to fetch error

  - by user171447

  I run an Ubuntu Server 12.04.3 LTS. Today, I wanted to update it, but I did not managed it (yes...), however upgrading worked well. I don't want you to solve my problem but it would be greatful if you could give me some hints. I googled hours, I fould a lot of this kind of errors, but not exactly this. Here is the output of apt-get update: Hit http://filepile.fastit.net precise Release.gpg Hit http://filepile.fastit.net precise Release Hit http://filepile.fastit.net precise/main amd64 Packages Hit http://filepile.fastit.net precise/restricted amd64 Packages Hit http://filepile.fastit.net precise/universe amd64 Packages Hit http://filepile.fastit.net precise/multiverse amd64 Packages Hit http://filepile.fastit.net precise/main i386 Packages Hit http://filepile.fastit.net precise/restricted i386 Packages Hit http://filepile.fastit.net precise/universe i386 Packages Hit http://filepile.fastit.net precise/multiverse i386 Packages Ign http://filepile.fastit.net precise/main TranslationIndex Ign http://filepile.fastit.net precise/multiverse TranslationIndex Ign http://filepile.fastit.net precise/restricted TranslationIndex Ign http://filepile.fastit.net precise/universe TranslationIndex Ign http://filepile.fastit.net precise/main Translation-en_GB Ign http://filepile.fastit.net precise/main Translation-en Ign http://filepile.fastit.net precise/main Translation-en_GB.UTF-8 Hit http://archive.canonical.com precise Release.gpg Ign http://filepile.fastit.net precise/multiverse Translation-en_GB Ign http://filepile.fastit.net precise/multiverse Translation-en Ign http://filepile.fastit.net precise/multiverse Translation-en_GB.UTF-8 Ign http://filepile.fastit.net precise/restricted Translation-en_GB Ign http://filepile.fastit.net precise/restricted Translation-en Ign http://filepile.fastit.net precise/restricted Translation-en_GB.UTF-8 Ign http://filepile.fastit.net precise/universe Translation-en_GB Ign http://filepile.fastit.net precise/universe Translation-en Ign http://filepile.fastit.net precise/universe Translation-en_GB.UTF-8 Hit http://archive.ubuntu.com precise Release.gpg Hit http://archive.canonical.com precise Release Hit http://archive.ubuntu.com precise Release Hit http://archive.ubuntu.com precise/main Sources Hit http://archive.ubuntu.com precise/restricted Sources Hit http://archive.ubuntu.com precise/main i386 Packages Hit http://archive.ubuntu.com precise/restricted i386 Packages Hit http://archive.ubuntu.com precise/multiverse i386 Packages Hit http://archive.ubuntu.com precise/main TranslationIndex Hit http://archive.ubuntu.com precise/multiverse TranslationIndex Hit http://archive.ubuntu.com precise/restricted TranslationIndex Hit http://archive.ubuntu.com precise/main Translation-en_GB Hit http://archive.ubuntu.com precise/main Translation-en Hit http://archive.ubuntu.com precise/multiverse Translation-en_GB Hit http://archive.ubuntu.com precise/multiverse Translation-en Hit http://archive.ubuntu.com precise/restricted Translation-en_GB Hit http://archive.ubuntu.com precise/restricted Translation-en Hit http://fr.archive.ubuntu.com precise-security Release.gpg Hit http://fr.archive.ubuntu.com precise-updates Release.gpg Hit http://fr.archive.ubuntu.com precise-security Release Hit http://fr.archive.ubuntu.com precise-updates Release Hit http://fr.archive.ubuntu.com precise-security/main amd64 Packages Hit http://fr.archive.ubuntu.com precise-security/restricted amd64 Packages Hit http://fr.archive.ubuntu.com precise-security/universe amd64 Packages Hit http://fr.archive.ubuntu.com precise-security/multiverse amd64 Packages :W: Failed to fetch http://archive.canonical.com/dists/precise/Release Unable to find expected entry 'main/binary-amd64/Packages' in Release file (Wrong sources.list entry or malformed file) E: Some index files failed to download. They have been ignored, or old ones used instead. Hit http://fr.archive.ubuntu.com precise-security/main i386 Packages Hit http://fr.archive.ubuntu.com precise-security/restricted i386 Packages Hit http://fr.archive.ubuntu.com precise-security/universe i386 Packages Hit http://fr.archive.ubuntu.com precise-security/multiverse i386 Packages Hit http://fr.archive.ubuntu.com precise-security/main TranslationIndex Hit http://fr.archive.ubuntu.com precise-security/multiverse TranslationIndex Hit http://fr.archive.ubuntu.com precise-security/restricted TranslationIndex Hit http://fr.archive.ubuntu.com precise-security/universe TranslationIndex Hit http://fr.archive.ubuntu.com precise-updates/main amd64 Packages Hit http://fr.archive.ubuntu.com precise-updates/restricted amd64 Packages Hit http://fr.archive.ubuntu.com precise-updates/universe amd64 Packages Hit http://fr.archive.ubuntu.com precise-updates/multiverse amd64 Packages Hit http://fr.archive.ubuntu.com precise-updates/main i386 Packages Hit http://fr.archive.ubuntu.com precise-updates/restricted i386 Packages Hit http://fr.archive.ubuntu.com precise-updates/universe i386 Packages Hit http://fr.archive.ubuntu.com precise-updates/multiverse i386 Packages Hit http://fr.archive.ubuntu.com precise-updates/main TranslationIndex Hit http://fr.archive.ubuntu.com precise-updates/multiverse TranslationIndex Hit http://fr.archive.ubuntu.com precise-updates/restricted TranslationIndex Hit http://fr.archive.ubuntu.com precise-updates/universe TranslationIndex Hit http://fr.archive.ubuntu.com precise-security/main Translation-en Hit http://fr.archive.ubuntu.com precise-security/multiverse Translation-en Hit http://fr.archive.ubuntu.com precise-security/restricted Translation-en Hit http://fr.archive.ubuntu.com precise-security/universe Translation-en Hit http://fr.archive.ubuntu.com precise-updates/main Translation-en_GB Hit http://fr.archive.ubuntu.com precise-updates/main Translation-en Hit http://fr.archive.ubuntu.com precise-updates/multiverse Translation-en_GB Hit http://fr.archive.ubuntu.com precise-updates/multiverse Translation-en Hit http://fr.archive.ubuntu.com precise-updates/restricted Translation-en_GB Hit http://fr.archive.ubuntu.com precise-updates/restricted Translation-en Hit http://fr.archive.ubuntu.com precise-updates/universe Translation-en_GB Hit http://fr.archive.ubuntu.com precise-updates/universe Translation-en And here is my /etc/apt/sources.list: ###### Ubuntu Main Repos deb http://filepile.fastit.net/ubuntu/ precise main restricted universe multiverse # deb http://de.archive.ubuntu.com/ubuntu/ precise main restricted universe multiverse deb http://archive.canonical.com/ precise main restricted universe multiverse ###### Ubuntu Update Repos deb http://fr.archive.ubuntu.com/ubuntu/ precise-security main restricted universe multiverse deb http://fr.archive.ubuntu.com/ubuntu/ precise-updates main restricted universe multiverse deb http://archive.ubuntu.com/ubuntu/ precise main restricted multiverse deb-src http://archive.ubuntu.com/ubuntu precise main restricted multiverse Thanks for your help!

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• SQLAuthority News – History of the Database – 5 Years of Blogging at SQLAuthority

  - by pinaldave

  Don’t miss the Contest:Participate in 5th Anniversary Contest   Today is this blog’s birthday, and I want to do a fun, informative blog post. Five years ago this day I started this blog. Intention – my personal web blog. I wrote this blog for me and still today whatever I learn I share here. I don’t want to wander too far off topic, though, so I will write about two of my favorite things – history and databases.  And what better way to cover these two topics than to talk about the history of databases. If you want to be technical, databases as we know them today only date back to the late 1960’s and early 1970’s, when computers began to keep records and store memories.  But the idea of memory storage didn’t just appear 40 years ago – there was a history behind wanting to keep these records. In fact, the written word originated as a way to keep records – ancient man didn’t decide they suddenly wanted to read novels, they needed a way to keep track of the harvest, of their flocks, and of the tributes paid to the local lord.  And that is how writing and the database began.  You could consider the cave paintings from 17,0000 years ago at Lascaux, France, or the clay token from the ancient Sumerians in 8,000 BC to be the first instances of record keeping – and thus databases. If you prefer, you can consider the advent of written language to be the first database.  Many historians believe the first written language appeared in the 37th century BC, with Egyptian hieroglyphics. The ancient Sumerians, not to be outdone, also created their own written language within a few hundred years. Databases could be more closely described as collections of information, in which case the Sumerians win the prize for the first archive.  A collection of 20,000 stone tablets was unearthed in 1964 near the modern day city Tell Mardikh, in Syria.  This ancient database is from 2,500 BC, and appears to be a sort of law library where apprentice-scribes copied important documents.  Further archaeological digs hope to uncover the palace library, and thus an even larger database. Of course, the most famous ancient database would have to be the Royal Library of Alexandria, the great collection of records and wisdom in ancient Egypt.  It was created by Ptolemy I, and existed from 300 BC through 30 AD, when Julius Caesar effectively erased the hard drives when he accidentally set fire to it.  As any programmer knows who has forgotten to hit “save” or has experienced a sudden power outage, thousands of hours of work was lost in a single instant. Databases existed in very similar conditions up until recently.  Cuneiform tablets gave way to papyrus, which led to vellum, and eventually modern paper and the printing press.  Someday the databases we rely on so much today will become another chapter in the history of record keeping.  Who knows what the databases of tomorrow will look like! Reference:  Pinal Dave (http://blog.SQLAuthority.com) Filed under: About Me, Database, Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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• Big Data – Various Learning Resources – How to Start with Big Data? – Day 20 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned how to become a Data Scientist for Big Data. In this article we will go over various learning resources related to Big Data. In this series we have covered many of the most essential details about Big Data. At the beginning of this series, I have encouraged readers to send me questions. One of the most popular questions is - “I want to learn more about Big Data. Where can I learn it?” This is indeed a great question as there are plenty of resources out to learn about Big Data and it is indeed difficult to select on one resource to learn Big Data. Hence I decided to write here a few of the very important resources which are related to Big Data. Learn from Pluralsight Pluralsight is a global leader in high-quality online training for hardcore developers.  It has fantastic Big Data Courses and I started to learn about Big Data with the help of Pluralsight. Here are few of the courses which are directly related to Big Data. Big Data: The Big Picture Big Data Analytics with Tableau NoSQL: The Big Picture Understanding NoSQL Data Analysis Fundamentals with Tableau I encourage all of you start with this video course as they are fantastic fundamentals to learn Big Data. Learn from Apache Resources at Apache are single point the most authentic learning resources. If you want to learn fundamentals and go deep about every aspect of the Big Data, I believe you must understand various concepts in Apache’s library. I am pretty impressed with the documentation and I am personally referencing it every single day when I work with Big Data. I strongly encourage all of you to bookmark following all the links for authentic big data learning. Haddop - The Apache Hadoop® project develops open-source software for reliable, scalable, distributed computing. Ambari: A web-based tool for provisioning, managing, and monitoring Apache Hadoop clusters which include support for Hadoop HDFS, Hadoop MapReduce, Hive, HCatalog, HBase, ZooKeeper, Oozie, Pig and Sqoop. Ambari also provides a dashboard for viewing cluster health such as heat maps and ability to view MapReduce, Pig and Hive applications visually along with features to diagnose their performance characteristics in a user-friendly manner. Avro: A data serialization system. Cassandra: A scalable multi-master database with no single points of failure. Chukwa: A data collection system for managing large distributed systems. HBase: A scalable, distributed database that supports structured data storage for large tables. Hive: A data warehouse infrastructure that provides data summarization and ad hoc querying. Mahout: A Scalable machine learning and data mining library. Pig: A high-level data-flow language and execution framework for parallel computation. ZooKeeper: A high-performance coordination service for distributed applications. Learn from Vendors One of the biggest issues with about learning Big Data is setting up the environment. Every Big Data vendor has different environment request and there are lots of things require to set up Big Data framework. Many of the users do not start with Big Data as they are afraid about the resources required to set up framework as well as a time commitment. Here Hortonworks have created fantastic learning environment. They have created Sandbox with everything one person needs to learn Big Data and also have provided excellent tutoring along with it. Sandbox comes with a dozen hands-on tutorial that will guide you through the basics of Hadoop as well it contains the Hortonworks Data Platform. I think Hortonworks did a fantastic job building this Sandbox and Tutorial. Though there are plenty of different Big Data Vendors I have decided to list only Hortonworks due to their unique setup. Please leave a comment if there are any other such platform to learn Big Data. I will include them over here as well. Learn from Books There are indeed few good books out there which one can refer to learn Big Data. Here are few good books which I have read. I will update the list as I will learn more. Ethics of Big Data Balancing Risk and Innovation Big Data for Dummies Head First Data Analysis: A Learner’s Guide to Big Numbers, Statistics, and Good Decisions If you search on Amazon there are millions of the books but I think above three books are a great set of books and it will give you great ideas about Big Data. Once you go through above books, you will have a clear idea about what is the next step you should follow in this series. You will be capable enough to make the right decision for yourself. Tomorrow In tomorrow’s blog post we will wrap up this series of Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Database – Beginning with Cloud Database As A Service

  - by Pinal Dave

  I love my weekend projects. Everybody does different activities in their weekend – like traveling, reading or just nothing. Every weekend I try to do something creative and different in the database world. The goal is I learn something new and if I enjoy my learning experience I share with the world. This weekend, I decided to explore Cloud Database As A Service – Morpheus. In my career I have managed many databases in the cloud and I have good experience in managing them. I should highlight that today’s applications use multiple databases from SQL for transactions and analytics, NoSQL for documents, In-Memory for caching to Indexing for search.  Provisioning and deploying these databases often require extensive expertise and time.  Often these databases are also not deployed on the same infrastructure and can create unnecessary latency between the application layer and the databases.  Not to mention the different quality of service based on the infrastructure and the service provider where they are deployed. Moreover, there are additional problems that I have experienced with traditional database setup when hosted in the cloud: Database provisioning & orchestration Slow speed due to hardware issues Poor Monitoring Tools High network latency Now if you have a great software and expert network engineer, you can continuously work on above problems and overcome them. However, not every organization have the luxury to have top notch experts in the field. Now above issues are related to infrastructure, but there are a few more problems which are related to software/application as well. Here are the top three things which can be problems if you do not have application expert: Replication and Clustering Simple provisioning of the hard drive space Automatic Sharding Well, Morpheus looks like a product build by experts who have faced similar situation in the past. The product pretty much addresses all the pain points of developers and database administrators. What is different about Morpheus is that it offers a variety of databases from MySQL, MongoDB, ElasticSearch to Reddis as a service.  Thus users can pick and chose any combination of these databases.  All of them can be provisioned in a matter of minutes with a simple and intuitive point and click user interface.  The Morpheus cloud is built on Solid State Drives (SSD) and is designed for high-speed database transactions.  In addition it offers a direct link to Amazon Web Services to minimize latency between the application layer and the databases. Here are the few steps on how one can get started with Morpheus. Follow along with me.  First go to http://www.gomorpheus.com and register for a new and free account. Step 1: Signup It is very simple to signup for Morpheus. Step 2: Select your database   I use MySQL for my daily routine, so I have selected MySQL. Upon clicking on the big red button to add Instance, it prompted a dialogue of creating a new instance.   Step 3: Create User Now we just have to create a user in our portal which we will use to connect to a database hosted at Morpheus. Click on your database instance and it will bring you to User Screen. Over here you will notice once again a big red button to create a new user. I created a user with my first name.   Step 4: Configure your MySQL client I used MySQL workbench and connected to MySQL instance, which I had created with an IP address and user.   That’s it! You are connecting to MySQL instance. Now you can create your objects just like you would create on your local box. You will have all the features of the Morpheus when you are working with your database. Dashboard While working with Morpheus, I was most impressed with its dashboard. In future blog posts, I will write more about this feature.  Also with Morpheus you use the same process for provisioning and connecting with other databases: MongoDB, ElasticSearch and Reddis. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Big Data – Data Mining with Hive – What is Hive? – What is HiveQL (HQL)? – Day 15 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned the importance of the operational database in Big Data Story. In this article we will understand what is Hive and HQL in Big Data Story. Yahoo started working on PIG (we will understand that in the next blog post) for their application deployment on Hadoop. The goal of Yahoo to manage their unstructured data. Similarly Facebook started deploying their warehouse solutions on Hadoop which has resulted in HIVE. The reason for going with HIVE is because the traditional warehousing solutions are getting very expensive. What is HIVE? Hive is a datawarehouseing infrastructure for Hadoop. The primary responsibility is to provide data summarization, query and analysis. It  supports analysis of large datasets stored in Hadoop’s HDFS as well as on the Amazon S3 filesystem. The best part of HIVE is that it supports SQL-Like access to structured data which is known as HiveQL (or HQL) as well as big data analysis with the help of MapReduce. Hive is not built to get a quick response to queries but it it is built for data mining applications. Data mining applications can take from several minutes to several hours to analysis the data and HIVE is primarily used there. HIVE Organization The data are organized in three different formats in HIVE. Tables: They are very similar to RDBMS tables and contains rows and tables. Hive is just layered over the Hadoop File System (HDFS), hence tables are directly mapped to directories of the filesystems. It also supports tables stored in other native file systems. Partitions: Hive tables can have more than one partition. They are mapped to subdirectories and file systems as well. Buckets: In Hive data may be divided into buckets. Buckets are stored as files in partition in the underlying file system. Hive also has metastore which stores all the metadata. It is a relational database containing various information related to Hive Schema (column types, owners, key-value data, statistics etc.). We can use MySQL database over here. What is HiveSQL (HQL)? Hive query language provides the basic SQL like operations. Here are few of the tasks which HQL can do easily. Create and manage tables and partitions Support various Relational, Arithmetic and Logical Operators Evaluate functions Download the contents of a table to a local directory or result of queries to HDFS directory Here is the example of the HQL Query: SELECT upper(name), salesprice FROM sales; SELECT category, count(1) FROM products GROUP BY category; When you look at the above query, you can see they are very similar to SQL like queries. Tomorrow In tomorrow’s blog post we will discuss about very important components of the Big Data Ecosystem – Pig. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Big Data – Beginning Big Data Series Next Month in 21 Parts

  - by Pinal Dave

  Big Data is the next big thing. There was a time when we used to talk in terms of MB and GB of the data. However, the industry is changing and we are now moving to a conversation where we discuss about data in Petabyte, Exabyte and Zettabyte. It seems that the world is now talking about increased Volume of the data. In simple world we all think that Big Data is nothing but plenty of volume. In reality Big Data is much more than just a huge volume of the data. When talking about the data we need to understand about variety and volume along with volume. Though Big data look like a simple concept, it is extremely complex subject when we attempt to start learning the same. My Journey I have recently presented on Big Data in quite a few organizations and I have received quite a few questions during this roadshow event. I have collected all the questions which I have received and decided to post about them on the blog. In the month of October 2013, on every weekday we will be learning something new about Big Data. Every day I will share a concept/question and in the same blog post we will learn the answer of the same. Big Data – Plenty of Questions I received quite a few questions during my road trip. Here are few of the questions. I want to learn Big Data – where should I start? Do I need to know SQL to learn Big Data? What is Hadoop? There are so many organizations talking about Big Data, and every one has a different approach. How to start with big Data? Do I need to know Java to learn about Big Data? What is different between various NoSQL languages. I will attempt to answer most of the questions during the month long series in the next month. Big Data – Big Subject Big Data is a very big subject and I no way claim that I will be covering every single big data concept in this series. However, I promise that I will be indeed sharing lots of basic concepts which are revolving around Big Data. We will discuss from fundamentals about Big Data and continue further learning about it. I will attempt to cover the concept so simple that many of you might have wondered about it but afraid to ask. Your Role! During this series next month, I need your one help. Please keep on posting questions you might have related to big data as blog post comments and on Facebook Page. I will monitor them closely and will try to answer them as well during this series. Now make sure that you do not miss any single blog post in this series as every blog post will be linked to each other. You can subscribe to my feed or like my Facebook page or subscribe via email (by entering email in the blog post). Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Big Data, PostADay, SQL, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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