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  • Big Data – Buzz Words: What is Hadoop – Day 6 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned what is NoSQL. In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – Hadoop. What is Hadoop? Apache Hadoop is an open-source, free and Java based software framework offers a powerful distributed platform to store and manage Big Data. It is licensed under an Apache V2 license. It runs applications on large clusters of commodity hardware and it processes thousands of terabytes of data on thousands of the nodes. Hadoop is inspired from Google’s MapReduce and Google File System (GFS) papers. The major advantage of Hadoop framework is that it provides reliability and high availability. What are the core components of Hadoop? There are two major components of the Hadoop framework and both fo them does two of the important task for it. Hadoop MapReduce is the method to split a larger data problem into smaller chunk and distribute it to many different commodity servers. Each server have their own set of resources and they have processed them locally. Once the commodity server has processed the data they send it back collectively to main server. This is effectively a process where we process large data effectively and efficiently. (We will understand this in tomorrow’s blog post). Hadoop Distributed File System (HDFS) is a virtual file system. There is a big difference between any other file system and Hadoop. When we move a file on HDFS, it is automatically split into many small pieces. These small chunks of the file are replicated and stored on other servers (usually 3) for the fault tolerance or high availability. (We will understand this in the day after tomorrow’s blog post). Besides above two core components Hadoop project also contains following modules as well. Hadoop Common: Common utilities for the other Hadoop modules Hadoop Yarn: A framework for job scheduling and cluster resource management There are a few other projects (like Pig, Hive) related to above Hadoop as well which we will gradually explore in later blog posts. A Multi-node Hadoop Cluster Architecture Now let us quickly see the architecture of the a multi-node Hadoop cluster. A small Hadoop cluster includes a single master node and multiple worker or slave node. As discussed earlier, the entire cluster contains two layers. One of the layer of MapReduce Layer and another is of HDFC Layer. Each of these layer have its own relevant component. The master node consists of a JobTracker, TaskTracker, NameNode and DataNode. A slave or worker node consists of a DataNode and TaskTracker. It is also possible that slave node or worker node is only data or compute node. The matter of the fact that is the key feature of the Hadoop. In this introductory blog post we will stop here while describing the architecture of Hadoop. In a future blog post of this 31 day series we will explore various components of Hadoop Architecture in Detail. Why Use Hadoop? There are many advantages of using Hadoop. Let me quickly list them over here: Robust and Scalable – We can add new nodes as needed as well modify them. Affordable and Cost Effective – We do not need any special hardware for running Hadoop. We can just use commodity server. Adaptive and Flexible – Hadoop is built keeping in mind that it will handle structured and unstructured data. Highly Available and Fault Tolerant – When a node fails, the Hadoop framework automatically fails over to another node. Why Hadoop is named as Hadoop? In year 2005 Hadoop was created by Doug Cutting and Mike Cafarella while working at Yahoo. Doug Cutting named Hadoop after his son’s toy elephant. Tomorrow In tomorrow’s blog post we will discuss Buzz Word – MapReduce. 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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  • Professional Development – Difference Between Bio, CV and Resume

    - by Pinal Dave
    Applying for work can be very stressful – you want to put your best foot forward, and it can be very hard to sell yourself to a potential employer while highlighting your best characteristics and answering questions.  On top of that, some jobs require different application materials – a biography (or bio), a curriculum vitae (or CV), or a resume.  These things seem so interchangeable, so what is the difference? Let’s start with the one most of us have heard of – the resume.  A resume is a summary of your job and education history.  If you have ever applied for a job, you will have used a resume.  The ability to write a good resume that highlights your best characteristics and emphasizes your qualifications for a specific job is a skill that will take you a long way in the world.  For such an essential skill, unfortunately it is one that many people struggle with. RESUME So let’s discuss what makes a great resume.  First, make sure that your name and contact information are at the top, in large print (slightly larger font than the rest of the text, size 14 or 16 if the rest is size 12, for example).  You need to make sure that if you catch the recruiter’s attention and they know how to get a hold of you. As for qualifications, be quick and to the point.  Make your job title and the company the headline, and include your skills, accomplishments, and qualifications as bullet points.  Use good action verbs, like “finished,” “arranged,” “solved,” and “completed.”  Include hard numbers – don’t just say you “changed the filing system,” say that you “revolutionized the storage of over 250 files in less than five days.”  Doesn’t that sentence sound much more powerful? Curriculum Vitae (CV) Now let’s talk about curriculum vitae, or “CVs”.  A CV is more like an expanded resume.  The same rules are still true: put your name front and center, keep your contact info up to date, and summarize your skills with bullet points.  However, CVs are often required in more technical fields – like science, engineering, and computer science.  This means that you need to really highlight your education and technical skills. Difference between Resume and CV Resumes are expected to be one or two pages long – CVs can be as many pages as necessary.  If you are one of those people lucky enough to feel limited by the size constraint of resumes, a CV is for you!  On a CV you can expand on your projects, highlight really exciting accomplishments, and include more educational experience – including GPA and test scores from the GRE or MCAT (as applicable).  You can also include awards, associations, teaching and research experience, and certifications.  A CV is a place to really expand on all your experience and how great you will be in this particular position. Biography (Bio) Chances are, you already know what a bio is, and you have even read a few of them.  Think about the one or two paragraphs that every author includes in the back flap of a book.  Think about the sentences under a blogger’s photo on every “About Me” page.  That is a bio.  It is a way to quickly highlight your life experiences.  It is essentially the way you would introduce yourself at a party. Where a bio is required for a job, chances are they won’t want to know about where you were born and how many pets you have, though.  This is a way to summarize your entire job history in quick-to-read format – and sometimes during a job hunt, being able to get to the point and grab the recruiter’s interest is the best way to get your foot in the door.  Think of a bio as your entire resume put into words. Most bios have a standard format.  In paragraph one, talk about your most recent position and accomplishments there, specifically how they relate to the job you are applying for.  If you have teaching or research experience, training experience, certifications, or management experience, talk about them in paragraph two.  Paragraph three and four are for highlighting publications, education, certifications, associations, etc.  To wrap up your bio, provide your contact info and availability (dates and times). Where to use What? For most positions, you will know exactly what kind of application to use, because the job announcement will state what materials are needed – resume, CV, bio, cover letter, skill set, etc.  If there is any confusion, choose whatever the industry standard is (CV for technical fields, resume for everything else) or choose which of your documents is the strongest. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: About Me, PostADay, Professional Development, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Big Data – Buzz Words: What is HDFS – Day 8 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned what is MapReduce. In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – HDFS. What is HDFS ? HDFS stands for Hadoop Distributed File System and it is a primary storage system used by Hadoop. It provides high performance access to data across Hadoop clusters. It is usually deployed on low-cost commodity hardware. In commodity hardware deployment server failures are very common. Due to the same reason HDFS is built to have high fault tolerance. The data transfer rate between compute nodes in HDFS is very high, which leads to reduced risk of failure. HDFS creates smaller pieces of the big data and distributes it on different nodes. It also copies each smaller piece to multiple times on different nodes. Hence when any node with the data crashes the system is automatically able to use the data from a different node and continue the process. This is the key feature of the HDFS system. Architecture of HDFS The architecture of the HDFS is master/slave architecture. An HDFS cluster always consists of single NameNode. This single NameNode is a master server and it manages the file system as well regulates access to various files. In additional to NameNode there are multiple DataNodes. There is always one DataNode for each data server. In HDFS a big file is split into one or more blocks and those blocks are stored in a set of DataNodes. The primary task of the NameNode is to open, close or rename files and directory and regulate access to the file system, whereas the primary task of the DataNode is read and write to the file systems. DataNode is also responsible for the creation, deletion or replication of the data based on the instruction from NameNode. In reality, NameNode and DataNode are software designed to run on commodity machine build in Java language. Visual Representation of HDFS Architecture Let us understand how HDFS works with the help of the diagram. Client APP or HDFS Client connects to NameSpace as well as DataNode. Client App access to the DataNode is regulated by NameSpace Node. NameSpace Node allows Client App to connect to the DataNode based by allowing the connection to the DataNode directly. A big data file is divided into multiple data blocks (let us assume that those data chunks are A,B,C and D. Client App will later on write data blocks directly to the DataNode. Client App does not have to directly write to all the node. It just has to write to any one of the node and NameNode will decide on which other DataNode it will have to replicate the data. In our example Client App directly writes to DataNode 1 and detained 3. However, data chunks are automatically replicated to other nodes. All the information like in which DataNode which data block is placed is written back to NameNode. High Availability During Disaster Now as multiple DataNode have same data blocks in the case of any DataNode which faces the disaster, the entire process will continue as other DataNode will assume the role to serve the specific data block which was on the failed node. This system provides very high tolerance to disaster and provides high availability. If you notice there is only single NameNode in our architecture. If that node fails our entire Hadoop Application will stop performing as it is a single node where we store all the metadata. As this node is very critical, it is usually replicated on another clustered as well as on another data rack. Though, that replicated node is not operational in architecture, it has all the necessary data to perform the task of the NameNode in the case of the NameNode fails. The entire Hadoop architecture is built to function smoothly even there are node failures or hardware malfunction. It is built on the simple concept that data is so big it is impossible to have come up with a single piece of the hardware which can manage it properly. We need lots of commodity (cheap) hardware to manage our big data and hardware failure is part of the commodity servers. To reduce the impact of hardware failure Hadoop architecture is built to overcome the limitation of the non-functioning hardware. Tomorrow In tomorrow’s blog post we will discuss the importance of the relational database in 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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  • SQLAuthority News – Pluralsight Course Review – Practices for Software Startups – Part 1 of 2

    - by pinaldave
    This is first part of the two part series of Practices for Software Startup Pluralsight Course. The course is written by Stephen Forte (Blog | Twitter). Stephen Forte is the Chief Strategy Officer of the venture backed company, Telerik, a leading vendor of developer and team productivity tools. Stephen is also a Certified Scrum Master, Certified Scrum Professional, PMP, and also speaks regularly at industry conferences around the world. He has written several books on application and database development.  Stephen is also a board member of the Scrum Alliance. Startups – Everybodies Dream Start-up companies are an important topic right now – everyone wants to start their own business.  It is also important to remember that all companies were a start up at one point – from your corner store to the giants like Microsoft and Apple.  Research proves that not every start-up succeeds, in fact, most will fail before their first year.  There are many reasons for this, and this could be due to the fact that there are many stages to a start-up company, and stumbling at any of these stages can lead to failure.  It is important to understand what makes a start-up company succeed at all its hurdles to become successful.  It is even important to define success.  For most start-ups this would mean becoming their own independently functioning company or to be bought out for a hefty profit by a larger company.  The idea of making a hefty profit by living your dream is extremely important, and you can even think of start-ups as the new craze.  That’s why studying them is so important – they are very popular, but things have changed a lot since their inception. Starting the Startups Beginning a start-up company used to be difficult, but now facilities and information is widely available, and it is much easier.  But that means it is much easier to fail, also.  Previously to start your own company, everything was planned and organized, resources were ensured and backed up before beginning; even the idea of starting your own business was a big thing.  Now anybody can do it, and the steps are simple and outlines everywhere – you can get online software and easily outsource , cloud source, or crowdsource a lot of your material.  But without the type of planning previously required, things can often go badly. New Products – New Ideas – New World There are so many fantastic new products, but they don’t reach success all the time.  I find start-up companies very interesting, and whenever I meet someone who is interested in the subject or already starting their own company, I always ask what they are doing, their plans, goals, market, etc.  I am sorry to say that in most cases, they cannot answer my questions.  It is true that many fantastic ideas fail because of bad decisions.  These bad decisions were not made intentionally, but people were simply unaware of what they should be doing.  This will always lead to failure.  But I am happy to say that all these issues can be gone because Pluralsight is now offering a course all about start-ups by Stephen Forte.  Stephen is a start up leader.  He has successfully started many companies and most are still going strong, or have gone on to even bigger and better things. Beginning Course on Startup I have always thought start-ups are a fascinating subject, and decided to take his course, but it is three hours long.  This would be hard to fit into my busy work day all at once, so I decided to do half of his course before my daughter wakes up, and the other half after she goes to sleep.  The course is divided into six modules, so this would be easy to do.  I began the first chapter early in the morning, at 5 am.  Stephen jumped right into the middle of the subject in the very first module – designing your business plan.  The first question you will have to answer to yourself, to others, and to investors is: What is your product and when will we be able to see it?  So a very important concept is a “minimal viable product.”  This means setting goals for yourself and your product.  We all have large dreams, but your minimal viable product doesn’t have to be your final vision at the very first.  For example: Apple is a giant company, but it is still evolving.  Steve Jobs didn’t envision the iPhone 6 at the very beginning.  He had to start at the first iPhone and do his market research, and the idea evolved into the technology you see now.  So for yourself, you should decide a beginning and stop point.  Do your market research.  Determine who you want to reach, what audience you want for your product.  You can have a great idea that simply will not work in the market, do need, bottlenecks, lack of resources, or competition.  There is a lot of research that needs to be done before you even write a business plan, and Stephen covers it in the very first chapter. The Team – Unique Key to Success After jumping right into the subject in the very first module, I wondered what Stephen could have in store for me for the rest of the course.  Chapter number two is building a team.  Having a team is important regardless of what your startup is.  You can be a true visionary with endless ideas and energy, but one person can still not do everything.  It is important to decide from the very beginning if you will have cofounders, team leaders, and how many employees you’ll need.  Even more important, you’ll need to decide what kind of team you want – what personalities, skills, and type of energy you want each of your employees to bring.  Do you want to have an A+ team with a B- idea, or do you have a B- idea that needs an A+ team to sell it?  Stephen asks all the hard questions!  I was especially impressed by his insight on developing.  You have to decide if you need developers, how many, and what their skills should be. I found this insight extremely useful for everyday usage, not just for start-up companies.  I would apply this kind of information in management at any position.  An amazing team will build an amazing product – and that doesn’t matter if you’re a start-up company or a small team working for a much larger business. Customer Development – The Ultimate Obective Chapter three was about customer development. According to Stephen, there are four different steps to develop a customer base.  The first question to ask yourself is if you are envisioning a large customer base buying a few products each, or a small, dedicated base that buys a lot of your product – quantity vs. Quality.  He also discusses how to earn, retain, and get more customers.  He also says that each customer should be placed in a different role – some will be like investors, who regularly spend with you and invest their money in your business.  It is then your job to take that investment and turn it into a better product in the future.  You need to deal with their money properly – think of it is as theirs as investors, not yours as profit.  At the end of this module I felt that only Stephen could provide this kind of insight, and then he listed all the resources he took his information from.  I have never seen a group of people so passionate about their customers. It was indeed a long day for me. In tomorrow’s part 2 we will discuss rest of the three module and also will see a quick video of the Practices for Software Startup Pluralsight Course. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Best Practices, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Find a Hash Collision, Win $100

    - by Mike C
    Margarity Kerns recently published a very nice article at SQL Server Central on using hash functions to detect changes in rows during the data warehouse load ETL process. On the discussion page for the article I noticed a lot of the same old arguments against using hash functions to detect change. After having this same discussion several times over the past several months in public and private forums, I've decided to see if we can't put this argument to rest for a while. To that end I'm going to...(read more)

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  • SQLAuthority News – Keeping Your Ducks in a Row

    - by pinaldave
    Last year during my visit to SQLAuthority News – SQL PASS Summit, Seattle 2009 – Day 2 I have received ducks from the event. Well during the same event I had learned from Jonathan Kehayias the saying of ‘Keeping Your Ducks in a Row‘. The most popular theory suggests that “ducks in a row” came [...]

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  • SQLAuthority News – Blog Subscription and Comments RSS

    - by pinaldave
    Quite often I get email where many readers ask me how to get email from SQLAuthority.com blog. Today very quickly I will go over few standard practices of this blog using you can stay connected with SQLAuthority.com First the most important is search: I received hundreds of emails and hundreds of comments every day. I try [...]

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  • AdventureWorks 2014 Sample Databases Are Now Available

    - by aspiringgeek
      Where in the World is AdventureWorks? Recently, SQL Community feedback from twitter prompted me to look in vain for SQL Server 2014 versions of the AdventureWorks sample databases we’ve all grown to know & love. I searched Codeplex, then used the bing & even the google in an effort to locate them, yet all I could find were samples on different sites highlighting specific technologies, an incomplete collection inconsistent with the experience we users had learned to expect.  I began pinging internally & learned that an update to AdventureWorks wasn’t even on the road map.  Fortunately, SQL Marketing manager Luis Daniel Soto Maldonado (t) lent a sympathetic ear & got the update ball rolling; his direct report Darmodi Komo recently announced the release of the shiny new sample databases for OLTP, DW, Tabular, and Multidimensional models to supplement the extant In-Memory OLTP sample DB.  What Success Looks Like In my correspondence with the team, here’s how I defined success: 1. Sample AdventureWorks DBs hosted on Codeplex showcasing SQL Server 2014’s latest-&-greatest features, including:  In-Memory OLTP (aka Hekaton) Clustered Columnstore Online Operations Resource Governor IO 2. Where it makes sense to do so, consolidate the DBs (e.g., showcasing Columnstore likely involves a separate DW DB) 3. Documentation to support experimenting with these features As Microsoft Senior SDE Bonnie Feinberg (b) stated, “I think it would be great to see an AdventureWorks for SQL 2014.  It would be super helpful for third-party book authors and trainers.  It also provides a common way to share examples in blog posts and forum discussions, for example.”  Exactly.  We’ve established a rich & robust tradition of sample databases on Codeplex.  This is what our community & our customers expect.  The prompt response achieves what we all aim to do, i.e., manifests the Service Design Engineering mantra of “delighting the customer”.  Kudos to Luis’s team in SQL Server Marketing & Kevin Liu’s team in SQL Server Engineering for doing so. Download AdventureWorks 2014 Download your copies of SQL Server 2014 AdventureWorks sample databases here.

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  • SQL Strings vs. Conditional SQL Statements

    - by Yatrix
    Is there an advantage to piecemealing sql strings together vs conditional sql statements in SQL Server itself? I have only about 10 months of SQL experience, so I could be speaking out of pure ignorance here. Where I work, I see people building entire queries in strings and concatenating strings together depending on conditions. For example: Set @sql = 'Select column1, column2 from Table 1 ' If SomeCondtion @sql = @sql + 'where column3 = ' + @param1 else @sql = @sql + 'where column4 = ' + @param2 That's a real simple example, but what I'm seeing here is multiple joins and huge queries built from strings and then executed. Some of them even write out what's basically a function to execute, including Declare statements, variables, etc. Is there an advantage to doing it this way when you could do it with just conditions in the sql itself? To me, it seems a lot harder to debug, change and even write vs adding cases, if-elses or additional where parameters to branch the query.

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  • New Cumulative Updates for SQL Server 2005 & SQL Server 2008 R2

    - by AaronBertrand
    Early this morning, the SQL Server Release Services team pushed out three new cumulative updates for SQL Server. KB #2489375 - SQL Server 2005 SP3 CU #14 (9.00.4317) KB #2489409 - SQL Server 2005 SP4 CU #2 (9.00.5259) KB #2489376 - SQL Server 2008 R2 CU #6 (10.50.1765) There are a lot more fixes in the 2008 R2 update - 43, by my count. In comparison, only 9 fixes for 2005 SP4, and only 2 fixes for 2005 SP3. You can draw your own conclusions from that data, particularly if you are still on SQL Server...(read more)

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  • Error with SQL Server Setup 2012 on Windows 2012

    - by Jeff
    I am trying to install SQL Server on Windows 2012. I was able to finally get the wizard up and running after making some changes on the server, but now it fails no matter what I do with the following error: TITLE: SQL Server Setup failure. SQL Server Setup has encountered the following error: There is an error in XML document (108, 148).. For help, click: http://go.microsoft.com/fwlink?LinkID=20476&ProdName=Microsoft%20SQL%20Server&EvtSrc=setup.rll&EvtID=50000&EvtType=0x066FCAFD%25400x5539C151 LinkID: 20476 Product Name: Microsoft SQL Server Message Source setup.rll Message ID: 50000 EvtType: 0x066FCAFD%400x5539C151 What I've tried: Installing from commandline with /q Result from CL installation: Error result: -2147467259 Result facility code: 0 Result error code: 16389 Please review the summary.txt log for further details The Verbose CL installation reveals: Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1033: NotInstalled Sco: File 'C:\SQL Install\1036_FRA_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1036_FRA_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1036: NotInstalled Sco: File 'C:\SQL Install\1040_ITA_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1040_ITA_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1040: NotInstalled Sco: File 'C:\SQL Install\1041_JPN_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1041_JPN_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1041: NotInstalled Sco: File 'C:\SQL Install\1042_KOR_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1042_KOR_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1042: NotInstalled Sco: File 'C:\SQL Install\1046_PTB_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1046_PTB_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1046: NotInstalled Sco: File 'C:\SQL Install\1049_RUS_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1049_RUS_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1049: NotInstalled Sco: File 'C:\SQL Install\2052_CHS_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\2052_CHS_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_2052: NotInstalled Sco: File 'C:\SQL Install\3082_ESN_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\3082_ESN_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_3082: NotInstalled Sco: File 'C:\SQL Install\1053_SVE_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1053_SVE_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1053: NotInstalled Sco: File 'C:\SQL Install\x64\setup\x64\sql_ssms.msi' does not exist Sco: File 'C:\SQL Install\x64\setup\x64\sql_ssms.msi' does not exist Package ID sql_ssms_Cpu64: NotInstalled Sco: File 'C:\SQL Install\1028_CHT_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1028_CHT_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1028: NotInstalled Sco: File 'C:\SQL Install\1031_DEU_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1031_DEU_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1031: NotInstalled Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1033: NotInstalled Sco: File 'C:\SQL Install\1036_FRA_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1036_FRA_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1036: NotInstalled Sco: File 'C:\SQL Install\1040_ITA_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1040_ITA_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1040: NotInstalled Sco: File 'C:\SQL Install\1041_JPN_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1041_JPN_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1041: NotInstalled Sco: File 'C:\SQL Install\1042_KOR_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1042_KOR_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1042: NotInstalled Sco: File 'C:\SQL Install\1046_PTB_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1046_PTB_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1046: NotInstalled Sco: File 'C:\SQL Install\1049_RUS_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1049_RUS_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1049: NotInstalled Sco: File 'C:\SQL Install\2052_CHS_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\2052_CHS_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_2052: NotInstalled Sco: File 'C:\SQL Install\3082_ESN_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\3082_ESN_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_3082: NotInstalled Sco: File 'C:\SQL Install\1053_SVE_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1053_SVE_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1053: NotInstalled Sco: File 'C:\SQL Install\x64\setup\sql_common_core_msi\x64\sql_common_core.msi' does not e Sco: File 'C:\SQL Install\x64\setup\sql_common_core_msi\x64\sql_common_core.msi' does not e Package ID sql_common_core_Cpu64: NotInstalled Sco: File 'C:\SQL Install\1028_CHT_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1028_CHT_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1028: NotInstalled Sco: File 'C:\SQL Install\1031_DEU_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1031_DEU_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1031: NotInstalled Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1033: NotInstalled Sco: File 'C:\SQL Install\1036_FRA_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1036_FRA_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1036: NotInstalled Sco: File 'C:\SQL Install\1040_ITA_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1040_ITA_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1040: NotInstalled Sco: File 'C:\SQL Install\1041_JPN_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1041_JPN_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1041: NotInstalled Sco: File 'C:\SQL Install\1042_KOR_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1042_KOR_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1042: NotInstalled Sco: File 'C:\SQL Install\1046_PTB_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1046_PTB_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1046: NotInstalled Sco: File 'C:\SQL Install\1049_RUS_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1049_RUS_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1049: NotInstalled Sco: File 'C:\SQL Install\2052_CHS_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\2052_CHS_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_2052: NotInstalled Sco: File 'C:\SQL Install\3082_ESN_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\3082_ESN_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_3082: NotInstalled Sco: File 'C:\SQL Install\1053_SVE_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1053_SVE_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1053: NotInstalled Sco: File 'C:\Users\Administrator\AppData\Local\Temp\2\SQL Server 2012\Setup\1033_ENU_LP\x6 lSupport.msi' does not exist Sco: File 'C:\Users\Administrator\AppData\Local\Temp\2\SQL Server 2012\Setup\1033_ENU_LP\x6 lSupport.msi' does not exist Package ID SqlSupport_Cpu64: NotInstalled Sco: File 'C:\SQL Install\redist\watson\x86\dw20shared.msi' does not exist Sco: File 'C:\SQL Install\redist\watson\x86\dw20shared.msi' does not exist Package ID WatsonX86_Cpu32: NotInstalled Package ID sqlncli_Cpu64: NotInstalled Package ID SqlLocalDB_Cpu64: NotInstalled Package ID SqlLocalDB_CTP3_Cpu64: NotInstalled Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x86\SSDTStub.msi' does not exist Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x86\SSDTStub.msi' does not exist Package ID SSDTStub_Cpu32: NotInstalled Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x86\SSDTDBSvcExternals.msi' does not exist Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x86\SSDTDBSvcExternals.msi' does not exist What does this mean?

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  • 24 hours of PASS is back!

    - by Sergio Govoni
    The most important free on-line event on SQL Server and Business Intelligence is back! The 24 Hours of PASS is coming back with a great edition fully based on the new features of SQL Server 2014. What could you aspect from the next PASS Summit? Find it out on June 25, 2014 (12:00 GMT) on 24 Hours of PASS: SQL Server 2014! Register now at this link. No matter from what part of the world you will follow the event, the important thing is to know that it will be 24 hours of continuous training on SQL Server and Business Intelligence.

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  • Top 10 Architect Community Articles for May 2014

    - by OTN ArchBeat
    One of the things I get to do as an OTN community manager is work with members of the architect community who want to spend extra time pounding the keyboard and risking carpal tunnel syndrome to publish articles on OTN. These articles typically cover—but are not limited to—middleware technologies (the other OTN community managers cover other technologies and product areas). Naturally, we track the popularity of these articles and use that information to help guide editorial decisions about the many article submissions we get. The list below represents the Top 10 most popular architect community articles for May 2014. (This list reflects only articles published between June 1, 2013 and May 31, 2014.) Cookbook: Installing and Configuring Oracle BI Applications 11.1.1.7.1 [August 2013] by Mark Rittman and Kevin McGinley Enterprise Service Bus [July 2013] by Jürgen Kress, Berthold Maier, Hajo Normann, Danilo Schmeidel, Guido Schmutz, Bernd Trops, Clemens Utschig-Utschig, Torsten Winterberg Back Up a Thousand Databases Using Enterprise Manager Cloud Control 12c [January 2014] by Porus Homi Havewala Set Up and Manage Oracle Data Guard using Oracle Enterprise Manager Cloud Control 12c [August 2013] by Porus Homi Havewala SOA and Cloud Computing [April 2014] by Jürgen Kress, Berthold Maier, Hajo Normann, Danilo Schmeidel, Guido Schmutz, Bernd Trops, Clemens Utschig-Utschig, Torsten Winterberg Building a Responsive WebCenter Portal Application [April 2014] by JayJay Zheng Using WebLogic 12c with Netbeans IDE by Markus Eisele Making the Move from Oracle Warehouse Builder to Oracle Data Integrator 12c by Stewart Bryson A Real-World Guide to Invoking OSB and EDN using C++ and Web Services [January 2014] by Sebastian Lik-Keung Ma Why Would Anyone Want to be an Architect? [May 2014] by Bob Rhubart If this list leaves you feeling inspired to write a technical article for OTN, or if you have questions about the process, drop me line in the comments section, below. I'll get back to you ASAP.

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  • MySQL – Introduction to User Defined Variables

    - by Pinal Dave
    MySQL supports user defined variables to have some data that can be used later part of your query. You can save a value to a variable using a SELECT statement and later you can access its value. Unlike other RDBMSs, you do not need to declare the data type for a variable. The data type is automatically assumed when you assign a value. A value can be assigned to a variable using a SET command as shown below SET @server_type:='MySQL'; When you above command is executed, the value, MySQL is assigned to the variable called @server_type. Now you can use this variable in the later part of the code. Suppose if you want to display the value, you can use SELECT statement. SELECT @server_type; The result is MySQL. Once the value is assigned it remains for the entire session until changed by the later statements. So unlike SQL Server, you do not need to have this as part the execution code every time. (Because in SQL Server, the variables are execution scoped and dropped after the execution). You can give column name as below SELECT @server_type AS server_type; You can also SELECT statement to DECLARE and SELECT the values for a variable. SELECT @message:='Welcome to MySQL' AS MESSAGE; The result is Message -------- Welcome to MySQL You can make use of variables to effectively apply many logics. One of the useful method is to generate the row number as shown in this post MySQL – Generating Row Number for Each Row using Variable. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL

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  • SQL SERVER – Technical Reference Guides for Designing Mission-Critical Solutions – A Must Read

    - by pinaldave
    Yesterday I was reading architecture reference material helping my friend who was looking for material in this respect. While working together we were searching twitter, facebook and search engines to find relevant material.While searching online we end up on very interactive reference point. Once I send the same to him, he replied he may not need anything more after referencing this material. The best part of this article was it gives access to various aspect of the technology of the image map. Here is the abstract of the original article from the site: The Technical Reference Guides for Designing Mission-Critical Solutions provide planning and architecture guidance for various mission-critical workloads deployed by users. These guides reflect the knowledge gained by Microsoft while working with customers on mission-critical deployments. Each guide provides not only the key technical concepts and information helpful for design, but also “lessons learned,” best practices, and references to customer case studies. Once you click on any of the desired topic, you will see further detailed image map of the selected topic. Personally once I ended up on this site, I was there for more than 2 hours clicking through various links. Click on image to see larger image Read more here: Technical Reference Guides for Designing Mission-Critical Solutions Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, T SQL, Technology

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  • SQLAuthority News – MSDN Flash Mentions – TechNet Flash Mention – Top Community Contributors (Annual

    - by pinaldave
    I was going over my email to reach the famous Inbox(0), I found TechNet Flash and MSDN Flash email. I had kept them because those email editions had mentioned me in the same. I quickly took the screenshot for the same. I am posting them here to refer them back again. It is always good idea to store important information for revisiting memory lane. As a recent update, Microsoft has awarded me Top Community Contributors (Annual) Winners. I want to express that I would have not done without your valuable contribution. I want to dedicate the award to all of you, as without your presence I would have not given this prestigious award. I could have not done this with myself only. I had complete support of Jacob Sebastian (SQL Server MVP) for all of the community related activity. Here are few images. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: About Me, Pinal Dave, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology

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  • MySQL – How to Write Loop in MySQL

    - by Pinal Dave
    Since, I have written courses on MySQL, I quite often get emails about MySQL courses. Here is the question, which I have received quite often. “How do I loop queries in MySQL?” Well, currently MySQL does not allow to write loops with the help of ad-hoc SQL. You have to write stored procedure (routine) for the same. Here is the example, how we can create a procedure in MySQL which will look over the code. In this example I have used SELECT 1 statement and looped over it. In reality you can put there any code and loop over it. This procedure accepts one parameter which is the number of the count the loop will iterate itself. delimiter // CREATE PROCEDURE doiterate(p1 INT) BEGIN label1: LOOP SET p1 = p1 - 1; IF p1 > 0 THEN SELECT 1; ITERATE label1; END IF; LEAVE label1; END LOOP label1; END// delimiter ; CALL doiterate(100); You can also use WHILE to loop as well, we will see that in future blog posts. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL

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  • SQLAuthority News – Mark the Date: October 16, 2013 – Introducing NuoDB Blackbirds: THE Distributed Database

    - by Pinal Dave
    I am very excited to announce first on this blog about the release of NuoDB Blackbirds (NuoDB Release 2.0). NuoDB is my favorite application to work with data now a days. They are increasingly gaining market share as well as brining out new features with their every new release. I was very excited when I learned that NuoDB is releasing their flagship release of 2.0 on October 16, 2013. Interesting enough I will be in USA while this release happens and I will be watching it live during my day time. Even though if I had to stay up the entire night to just watch this release, I would do it. Here is the details of the announcements: Introducing NuoDB Blackbirds: THE Distributed Database Date: October 16, 2013 Time: 1:00 PM EDT Location: Online Registration Link What is the best DBMS architecture to handle today’s and tomorrow’s evolving needs? The days of shared disk are over. The times are “a-changin” and IT infrastructure has to change with them. Join NuoDB live for the introduction of our latest major product release, NuoDB Blackbirds, and take a look at why the NuoDB distributed database architecture is the only answer for customers like Fathom Voice, a leading provider of Voice Over IP (VoIP). NuoDB CEO, Barry Morris, welcomes Cameron Weeks, CEO of Fathom Voice to discuss how his company is using DBMS to break away from the pack and become the hottest player in VoIP. The webcast will include demonstrations of a single, logical database running in multiple geographies and a live Q&A. If due to any reason, you cannot watch it live, do not worry at all, just register at this Registration Link, as after the event you will get the link to watch the event on-demand. You can watch the launch event at any time if you have registered for the launch. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: NuoDB

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  • MySQL – Export the Resultset to CSV file

    - by Pinal Dave
    In SQL Server, you can use BCP command to export the result set to a csv file. In MySQL too, You can export data from a table or result set as a csv file in many methods. Here are two methods. Method 1 : Make use of Work Bench If you are using Work Bench as a querying tool, you can make use of it’s Export option in the result window. Run the following code in Work Bench SELECT db_names FROM mysql_testing; The result will be shown in the result windows. There is an option called “File”. Click on it and it will prompt you a window to save the result set (Screen shot attached to show how file option can be used). Choose the directory and type out the name of the file. Method 2 : Make use of OUTFILE command You can do the export using a query with OUTFILE command as shown below SELECT db_names FROM mysql_testing INTO OUTFILE 'C:/testing.csv' FIELDS ENCLOSED BY '"' TERMINATED BY ';' ESCAPED BY '"' LINES TERMINATED BY '\r\n'; After the execution of the above code, you can find a file named testing.csv in C drive of the server. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL Tagged: CSV

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  • Big Data – Basics of Big Data Architecture – Day 4 of 21

    - by Pinal Dave
    In yesterday’s blog post we understood how Big Data evolution happened. Today we will understand basics of the Big Data Architecture. Big Data Cycle Just like every other database related applications, bit data project have its development cycle. Though three Vs (link) for sure plays an important role in deciding the architecture of the Big Data projects. Just like every other project Big Data project also goes to similar phases of the data capturing, transforming, integrating, analyzing and building actionable reporting on the top of  the data. While the process looks almost same but due to the nature of the data the architecture is often totally different. Here are few of the question which everyone should ask before going ahead with Big Data architecture. Questions to Ask How big is your total database? What is your requirement of the reporting in terms of time – real time, semi real time or at frequent interval? How important is the data availability and what is the plan for disaster recovery? What are the plans for network and physical security of the data? What platform will be the driving force behind data and what are different service level agreements for the infrastructure? This are just basic questions but based on your application and business need you should come up with the custom list of the question to ask. As I mentioned earlier this question may look quite simple but the answer will not be simple. When we are talking about Big Data implementation there are many other important aspects which we have to consider when we decide to go for the architecture. Building Blocks of Big Data Architecture It is absolutely impossible to discuss and nail down the most optimal architecture for any Big Data Solution in a single blog post, however, we can discuss the basic building blocks of big data architecture. Here is the image which I have built to explain how the building blocks of the Big Data architecture works. Above image gives good overview of how in Big Data Architecture various components are associated with each other. In Big Data various different data sources are part of the architecture hence extract, transform and integration are one of the most essential layers of the architecture. Most of the data is stored in relational as well as non relational data marts and data warehousing solutions. As per the business need various data are processed as well converted to proper reports and visualizations for end users. Just like software the hardware is almost the most important part of the Big Data Architecture. In the big data architecture hardware infrastructure is extremely important and failure over instances as well as redundant physical infrastructure is usually implemented. NoSQL in Data Management NoSQL is a very famous buzz word and it really means Not Relational SQL or Not Only SQL. This is because in Big Data Architecture the data is in any format. It can be unstructured, relational or in any other format or from any other data source. To bring all the data together relational technology is not enough, hence new tools, architecture and other algorithms are invented which takes care of all the kind of data. This is collectively called NoSQL. Tomorrow Next four days we will answer the Buzz Words – Hadoop. 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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  • MySQL – Beginning Temporary Tables in MySQL

    - by Pinal Dave
    MySQL supports Temporary tables to store the resultsets temporarily for a given connection. Temporary tables are created with the keyword TEMPORARY along with the CREATE TABLE statement. Let us create the temporary table named Temp CREATE TEMPORARY TABLE TEMP (id INT); Now you can find out the column names using DESC command DESC TEMP; The above returns the following result This table can be accessed only for the current connection and it can be used like a permanent table and automatically dropped when the connection is closed. However, you can not find temporary tables using INFORMATION_SCHEMA. TABLES system view. It will only list out the permanent tables. MySQL usually stores the data of temporary tables in memory and processed by Memory Storage engine. But if the data size is too large MySQL automatically converts this to the on – disk table and use MyISAM engine. You can also create a permanent table with the same name of a temporary table in the same connection. However the structure of permanent table is visible only if the temporary table with the same name is dropped. Let us create a permanent table with the same name Temp as below CREATE TABLE TEMP (id INT, names VARCHAR(100)); Now running the following command stills gives you the structure of the temporary table temp created earlier. DESC TEMP; You can drop the temporary table using DROP TEMPORARY TABLE command; DROP TEMPORARY TABLE TEMP; After you executed the temporary table, run the following command DESC TEMP; Now you will see the structure of the permanent table named temp In summary – If there is a Temporary Table in MySQL it gets first priority over the permanent table in the session. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL

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  • MySQL – Introduction to CONCAT and CONCAT_WS functions

    - by Pinal Dave
    MySQL supports two types of concatenation functions. They are CONCAT and CONCAT_WS CONCAT function just concats all the argument values as such SELECT CONCAT('Television','Mobile','Furniture'); The above code returns the following TelevisionMobileFurniture If you want to concatenate them with a comma, either you need to specify the comma at the end of each value, or pass comma as an argument along with the values SELECT CONCAT('Television,','Mobile,','Furniture'); SELECT CONCAT('Television',',','Mobile',',','Furniture'); Both the above return the following Television,Mobile,Furniture However you can omit the extra work by using CONCAT_WS function. It stands for Concatenate with separator. This is very similar to CONCAT function, but accepts separator as the first argument. SELECT CONCAT_WS(',','Television','Mobile','Furniture'); The result is Television,Mobile,Furniture If you want pipeline as a separator, you can use SELECT CONCAT_WS('|','Television','Mobile','Furniture'); The result is Television|Mobile|Furniture So CONCAT_WS is very flexible in concatenating values along with separate. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, 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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