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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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  • 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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  • Two Instances of Sql Server (2005 and 2008)

    - by Felipe
    Hi All, I installed Visual Studio 2008 Professional in my machine and It had installed SQL Server Express 2005 database in machine, and I use it very fine! I installed SQL Managment Studio and works great. So, in this week I Installed Visual Studio 2010 Pro in machine and the setup installed the SQL Server express 2008 and it overwrite the instance of my SQL Server Express 2005. All right, Now, I'd like to know how can I have two instances of the SQL Server Express in my Machine, Express 2005 and Express 2008. I can not access the 2005 , only 2008 :( and my projects uses 2005.. Somebody Help me! thanks Bye

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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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  • Microsoft Reporting 2005 and Report Viewer Report ASP.Net Session Has Expired on Load

    - by ThaKidd
    At my job, I have been tasked with fixing an error with our reporting server. That error is ASP.Net Session Has Expired. This error occurs when the Visual Studio ReportViewer 2005 Control attempts to load a report. We are trying to host this report to users hitting our Internet exposed Windows 2003 Server running IIS 6.0. The reportviewer control is attempting to load this report from a second server running Microsoft SQL 2005 w/Reporting Services. The SQL server is not exposed to the Internet. Here is the weird thing. This error never occurs on the development box. When it is transferred to the production IIS server, the error starts to occur. It only happens every time the report is first loaded. If the browser's refresh button is clicked 5-10 times, the report will finally load correctly. I have reproduced this same error on the latest version of Mozilla Firefox, IE 7, and IE 8. The report only takes 10-20 seconds to load. I have tried timeouts in the 300+ second range on the reporting server/iis production server. I have tried a few options like Async (which causes images not to load properly) and setting the session mode to iproc with a high timeout value in the Reporting Server's web.config. I have also tried using the reporting server's IP address in the report viewer's code instead of the server name. I plan on verifying a picture loading issue which I also read about tomorrow when I get into work. I am unsure what service packs Visual Studio 2005 and the MSSQL server are running. Was an update released to fix this problem that I could not find? Does anyone have a fix for this?

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  • Indefinite hang when restoring SQL 2005 database on a SQL 2008 server in EC2

    - by erinloy
    I'm trying to restore a 25 GB database backup taken from a Windows 2003/SQL 2005 machine to a Windows 2008/SQL 2008 machine in the Amazon EC2 cloud, using a .bak file and the SQL Management Studio. SQL Management Studio reports the restore reaches 100% complete, and then just hangs indefinitely (24+ hours) using a lot of CPU, until I restart the SQL Server service. Upon restart, SQL again uses a lot of CPU activity for what seems to be an indefinite amount of time, but the DB never comes online. Here are some details: - I have created two EBS volumes, one for DATA and one for LOGS, and I have set the default directories in SQL Server to the \DATA and \LOG directory on these respective volumes. (I wonder if the issue could be related to this, but the DB is too big to restore on the root drive.) - I have given the SQL Server user group full access to these directories. - The server can create a new empty test DB in these directories just fine, and can backup and restore the test DB. - I have tried both restoring of a .bak file and attaching directly to copies of the original .mdf/.ldf files, and the result is the same in both cases. - Both the .bak restore and the .mdf/.ldf attach occur from/to the EBS volumes. - I've also tried the above via SQL script, and "WITH RECOVERY", with no difference in the result, just less UI. - The backup contains two full text indexes. - I have to use "WITH MOVE" for most of the files in the backup. - There's nothing wrong with the backup or .mdf/.ldf files, as this works just fine on a Windows 2003/SQL 2005 machine in the Amazon EC2, but not Windows 2008/SQL 2008. - The DB is NOT marked as "Restoring" in the SQL Management Studio - it is just listed as a normal database, but throws errors when I try to do anything with it (expand the object browser tree, view properties, etc.) Any ideas?

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  • Strange Sql Server 2005 behavior

    - by Justin C
    Background: I have a site built in ASP.NET with Sql Server 2005 as it's database. The site is the only site on a Windows Server 2003 box sitting in my clients server room. The client is a local school district, so for data security reasons there is no remote desktop access and no remote Sql Server connection, so if I have to service the database I have to be at the terminal. I do have FTP access to update ASP code. Problem: I was contacted yesterday about an issue with the system. When I looked in to it, it seems a bug that I had solved nearly a year ago had returned. I have a stored procedure that used to take an int as a parameter but a year ago we changed the structure of the system and updated the stored procedure to take an nvarchar(10). The stored procedure somehow changed back to taking an int instead of an nvarchar. There is an external hard drive connected to the server that copies data periodically and has the ability to restore the server in case of failure. I would have assumed that somehow an older version of the database had been restored, but data that I know was inserted 7 days and 1 day before the bug occurred is still in the database. Question: Is there anyway that the structure of a Sql Server 2005 database can revert to a previous version or be restored to a previous version without touching the actual data? No one else should have access to the server so I'm going a little insane trying to figure out how this even happened. Any ideas?

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  • Comparing Standard Editions of SQL Server

    - by RickHeiges
    Recently, I've been speaking with customers about upgrading SQL Server. At times, some customers have a lot of Standard Edition SQL Server 2005 / 2008 / 2008R2 in their organization and they want to see the features they get when upgrading to SQL Server 2012. Last week, I sent out some tweets to the #sqlhelp hashtag to see if someone has already put together a document or blog post about comparing the Standard Editions. I was unable to discover anything out there that really focuses just on Standard...(read more)

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  • SQL Server 2005 Table Alter History

    - by Kayes
    Hi. Does SQL Server maintains any history to track table alterations like column add, delete, rename, type/ length change etc? I found many suggest to use stored procedures to do this manually. But I'm curious if SQL Server keeps such history in any system tables? Thanks.

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  • SQL Server 2005 Service Pack 3 won’t install.

    - by AngryHacker
    I am trying to install SQL Server 2005 Service Pack 3 and it keeps failing. Comes back with the following: Microsoft SQL Server 2005 - Update 'Service Pack 3 for SQL Server Database Services 2005 ENU (KB955706)' could not be installed. Error code 1603. The detailed dump reveals the following: MSI (s) (90:C8) [13:50:17:776]: Note: 1: 1729 MSI (s) (90:C8) [13:50:17:776]: Transforming table Error. MSI (s) (90:C8) [13:50:17:776]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:792]: Transforming table Error. MSI (s) (90:C8) [13:50:17:792]: Transforming table Error. MSI (s) (90:C8) [13:50:17:792]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:792]: Transforming table Error. MSI (s) (90:C8) [13:50:17:792]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:792]: Transforming table Error. MSI (s) (90:C8) [13:50:17:792]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:792]: Transforming table Error. MSI (s) (90:C8) [13:50:17:792]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:807]: Transforming table Error. MSI (s) (90:C8) [13:50:17:807]: Transforming table Error. MSI (s) (90:C8) [13:50:17:807]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:807]: Transforming table Error. MSI (s) (90:C8) [13:50:17:807]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:807]: Transforming table Error. MSI (s) (90:C8) [13:50:17:807]: Note: 1: 2262 2: Error 3: -2147287038 MSI (s) (90:C8) [13:50:17:807]: Product: Microsoft SQL Server 2005 -- Configuration failed. Does it mean anything to anybody? Btw, this Q originally came from SO (936895)

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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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  • Count rows against to SQL server (2005) table?

    - by David.Chu.ca
    I have a simple question with two options to get count of rows in a SQL server (2005). I am using VS 2005. There are two options to get the count: SELECT id FROM Table1 WHERE dt >= startDt AND dt < endDt;; I get a list of ids from above call in cache and then I get count by List.Count. Another option is SELECT COUNT(*) FROM Table1 WHERE dt >= startDt AND dt < endDt; The above call will get the count directly. The issue is that I had several cases of exceptions with the second method: timeout. What I found is that the table1 is too big with millions of data. When I used the first option, it seems OK. I am confused by the fact that Count() takes more time than getting all the rows(is that true?). Not sure if the aggregation call with Count() would cause SQL server to create temporary table or cache on server side and it would result in slow performance when table is too big? I am not sure what is the best way to get the count?

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  • transaction log shipping sql server 2005 to 2008

    - by Andrew Jahn
    I have a reporting setup with SSRS on our sql server 2005 database. Because sql server 2008 is not supported by the main program which populates our database we are stuck with 2005 on our prod database. Unfortunately when I run our weekly check reports the web interface constantly times out because the server cant do the conversion to PDF. I've read that sql server 2008's SSRS is ALOT better with memory management. I was wondering if I can do some kind transact log shipping subscription publication from 2005 to 2008? Am I chasing a dream here. Currently I have to open up the ssrs project in visual studio and run the reports inside because it doesn't ever time out when doing the pdf conversion, only times out if I try to run it through the ssis web interface.

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  • back-end SQL server 2005 databases for website

    - by Datapimp23
    Hi, We're migrating an existing IIS website + MS SQL 2005 database (on the same server) to a new test set-up. The existing set-up is too slow. I want one ISS server and 2 X MS SQL server 2005. One live DB server for the website queries (inserts, updates) and another for backups, reports or stored procedures. So the live DB should be more aimed at performance. The other doesn't even need to be synced instantly. What is the best way in SQL server 2005 to set this up. Can somebody point me in the right direction and give me some pointers. Thanks

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  • Fix: Connections to SQL Server 2005 on Windows Vista suddenly stop working

    - by NTulip
    On my Vista machine at work, applications and the SQL Server Management Console work fine connecting to SQL Server 2005. Sometimes they are ok for weeks at a time, sometime for hours and then they stop connecting. I've tried everything to get it to work including the installation of SPII and running the user provisioning tool without any luck. The only way to fix it was to restart. The Error: Connections are refused with the standard error message: Cannot connect to SERVER_NAME\INSTANCE_NAME ------------------------------ ADDITIONAL INFORMATION: A network-related or instance-specific error occurred while establishing a connection to SQL Server. The server was not found or was not accessible. Verify that the instance name is correct and that SQL Server is configured to allow remote connections. (provider: SQL Network Interfaces, error: 26 - Error Locating Server/Instance Specified) (Microsoft SQL Server, Error: -1) For help, click: http://go.microsoft.com/fwlink?ProdName=Microsoft+SQL+Server&EvtSrc=MSSQLServer&EvtID=-1&LinkId=20476 The Fix: Stop and restart the Sql Server Browser, Sql Server integration, SQL Server Active Directory Helper services. Works like a charm.

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  • Why upgrade from SQL 2005 to SQL 2008 R2?

    - by GordyII
    have been tasked to write a document outlining the best reasons to use SQL 2008 R2 instead of SQL 2005 for my brand new BI project. We have a policy of only using two versions at a time and there are still SQL 2000 boxes around here somewhere.... I know the microsoft line on as per this link. http://www.microsoft.com/sqlserver/2008/en/us/why-upgrade.aspx What I want to know is your opinions of which are the best features and why. So if you can help me try to convince management to use a product which is actually up to date, I would appreciate it.

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  • SQL 2005 - Search stored procedures for text (Not all text is being searched)

    - by hamlin11
    The following bits of code do not seem to be searching the entire routine definition. Code block 1: select top 50 * from information_schema.routines where routine_definition like '%09/01/2008%' and specific_Name like '%NET' Code Block 2: SELECT ROUTINE_NAME, ROUTINE_DEFINITION FROM INFORMATION_SCHEMA.ROUTINES WHERE ROUTINE_DEFINITION LIKE '%EffectiveDate%' AND ROUTINE_TYPE='PROCEDURE' and ROUTINE_NAME like '%NET' I know for a fact that these bits of SQL work under most circumstances. The problem is this: When I run this for "EffectiveDate" which is buried at line ~800 in a few stored procedures, these stored procedures never show up in the results. It's as if "like" only searches so deep. Any tips on fixing this? I want to search the ENTIRE stored procedure for the specified text. Thanks!

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  • Security updates for all supported versions of SQL Server

    - by AaronBertrand
    It's patch Tuesday! [ UPDATE June 19 : Please see my follow-up post about this security update.] Today Microsoft released a security bulletin covering several issues that could potentially affect SQL Server; these exploits include remote code execution, denial of service, information disclosure and elevation of privilege. You should test these patches on all machines running SQL Server, including those running only client tools (e.g. Management Studio or Management Studio Express). The updates affect...(read more)

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  • How to install SQL Server 2005 Configuration Manager without installing SQL Server Management Studio

    - by Arnold Zokas
    Hi, I need to configure SQL Server aliases on a public-facing production server. To do that, I need to install SQL Server Configuration Manager. I was not able to find a standalone installer for that, so I am having to install SQL Server 2005 Client Components. This approach is not ideal as we don't want to have SSMS on an public-facing production server. Is there a way to install SQL Server 2005 Configuration Manager without installing SQL Server Management Studio? Thanks, Arnold

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