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Practical SQL Queries for Microsoft SQL Server

Practical SQL Queries for Microsoft SQL Server

Practical SQL Queries for Microsoft SQL Server 2008 R2 by Art Tennick

Practical SQL Queries for Microsoft SQL Server 2008 R2



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Practical SQL Queries for Microsoft SQL Server 2008 R2 Art Tennick ebook
Publisher: McGraw-Hill Osborne Media
ISBN: 0071746870, 9780071746878
Page: 336
Format: pdf


SQL Server 2008 R2 accelerates the capabilities to scale database operations and is a highly scalable data platform. For example, you'll find invaluable information on administering SQL Server more efficiently, analyzing and optimizing queries, implementing data warehouses, ensuring high availability, and tuning performance. The only containment option in SQL Server 2012, . After a number of PolyBase will enable analysts with the ability to query data from both relational databases and Hadoop using a single unified query statement. In 2010 Microsoft shipped SQL Server 2008 R2 Parallel Data Warehouse (PDW), its first enterprise-class parallel data warehouse appliance. Insider news about SQL Server and Microsoft's Information Platform. There are DMVs and events that will help identify queries and objects that are not “contained” and that will present a potential risk should the database be moved to a new instance. Regardless, to code around this . In last week's edition of this amateur series of self-tutorials[i] on SQL Server Data Mining (SSDM), we covered Clustering, an algorithm with an exceptionally wide variety of uses in comparison to the other eight Microsoft includes with the product. This practical cookbook will show you the advanced administration techniques for managing and administering a scalable and high-performance SQL Server 2008 R2 system. Let me give you three examples: 2005 doesn't handle the queries the same and we get errors. To me this attitude demonstrates a naiveté about the industry and the financial, regulatory, and practical realities that many SQL Server users face. One way to boost Microsoft SQl Server memory utilization is to use indexes – simply because the use of properly defined indexes can dramatically reduce the amount of data that SQL Server needs to pull into memory in order to satisfy common queries. SQL Server delivers a rich set of integrated services and reporting features that enable you to do more with your data such as query, search, synchronize, report, and analyze. Pingback: Eleven Game-Changing Advances in Microsoft's BI | Practical Business Intelligence and Information Management. There is also information about hint changes first introduced in SQL Server 2008 R2 SP1 (FORCESCAN, and FORCESEEK with columns). Properly convey meaningful organization insights to end users across your organization with aid from this practical guidebook. And, from what I've heard quite a few companies are already planning to stay with 2008 (or R2) quite a bit longer than they were going to.

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