{ "item_title" : "T-SQL Querying", "item_author" : [" Itzik Ben-Gan", "Adam Machanic", "Dejan Sarka "], "item_description" : "T-SQL insiders help you tackle your toughest queries and query-tuning problemsSqueeze maximum performance and efficiency from every T-SQL query you write or tune. Four leading experts take an in-depth look at T-SQL's internal architecture and offer advanced practical techniques for optimizing response time and resource usage. Emphasizing a correct understanding of the language and its foundations, the authors present unique solutions they have spent years developing and refining. All code and techniques are fully updated to reflect new T-SQL enhancements in Microsoft SQL Server 2014 and SQL Server 2012. Write faster, more efficient T-SQL code:Move from procedural programming to the language of sets and logicMaster an efficient top-down tuning methodologyAssess algorithmic complexity to predict performanceCompare data aggregation techniques, including new grouping setsEfficiently perform data-analysis calculationsMake the most of T-SQL's optimized bulk import toolsAvoid date/time pitfalls that lead to buggy, poorly performing codeCreate optimized BI statistical queries without additional softwareUse programmable objects to accelerate queriesUnlock major performance improvements with In-Memory OLTPMaster useful and elegant approaches to manipulating graphsAbout This BookFor experienced T-SQL practitionersIncludes coverage updated from Inside Microsoft SQL Server 2008 T-SQL Querying and Inside Microsoft SQL Server 2008 T-SQL ProgrammingValuable to developers, DBAs, BI professionals, and data scientistsCovers many MCSE 70-464 and MCSA/MCSE 70-461 exam topics", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/73/568/504/0735685045_b.jpg", "price_data" : { "retail_price" : "59.99", "online_price" : "59.99", "our_price" : "59.99", "club_price" : "59.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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