T-SQL Querying
- Length: 864 pages
- Edition: 1
- Language: English
- Publisher: Microsoft Press
- Publication Date: 2015-03-21
- ISBN-10: 0735685045
- ISBN-13: 9780735685048
- Sales Rank: #203112 (See Top 100 Books)
T-SQL insiders help you tackle your toughest queries and query-tuning problems
Squeeze 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 logic
- Master an efficient top-down tuning methodology
- Assess algorithmic complexity to predict performance
- Compare data aggregation techniques, including new grouping sets
- Efficiently perform data-analysis calculations
- Make the most of T-SQL’s optimized bulk import tools
- Avoid date/time pitfalls that lead to buggy, poorly performing code
- Create optimized BI statistical queries without additional software
- Use programmable objects to accelerate queries
- Unlock major performance improvements with In-Memory OLTP
- Master useful and elegant approaches to manipulating graphs
About This Book
- For experienced T-SQL practitioners
- Includes coverage updated from Inside Microsoft SQL Server 2008 T-SQL Querying and Inside Microsoft SQL Server 2008 T-SQL Programming
- Valuable to developers, DBAs, BI professionals, and data scientists
- Covers many MCSE 70-464 and MCSA/MCSE 70-461 exam topics
Table of Contents
CHAPTER 1 Logical query processing
CHAPTER 2 Query tuning
CHAPTER 3 Multi-table queries
CHAPTER 4 Grouping, pivoting, and windowing
CHAPTER 5 TOP and OFFSET-FETCH
CHAPTER 6 Data modification
CHAPTER 7 Working with date and time
CHAPTER 8 T-SQL for BI practitioners
CHAPTER 9 Programmable objects
CHAPTER 10 In-Memory OLTP
CHAPTER 11 Graphs and recursive queries