Title
Tsql Window Functions: For Data Analysis And Beyond (Developer Reference),Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
Use window functions to write simpler, better, more efficient TSQL queriesMost TSQL developers recognize the value of window functions for data analysis calculations. But they can do far more, and recent optimizations make them even more powerful. In TSQL Window Functions, renowned TSQL expert Itzik BenGan introduces breakthrough techniques for using them to handle many common TSQL querying tasks with unprecedented elegance and power. Using extensive code examples, he guides you through window aggregate, ranking, distribution, offset, and ordered set functions. Youll find a detailed section on optimization, plus an extensive collection of business solutions including novel techniques available in no other book.Microsoft MVP Itzik BenGan shows how to: Use window functions to improve queries you previously built with predicates Master essential SQL windowing concepts, and efficiently design window functions Effectively utilize partitioning, ordering, and framing Gain practical indepth insight into window aggregate, ranking, offset, and statistical functions Understand how the SQL standard supports ordered set functions, and find working solutions for functions not yet available in the language Preview advanced Row Pattern Recognition (RPR) data analysis techniques Optimize window functions in SQL Server and Azure SQL Database, making the most of indexing, parallelism, and more Discover a full library of window function solutions for common business problemsAbout This Book For developers, DBAs, data analysts, data scientists, BI professionals, and power users familiar with TSQL queries Addresses any edition of the SQL Server 2019 database engine or later, as well as Azure SQL DatabaseGet all code samples at:MicrosoftPressStore.com/TSQLWindowFunctions/downloads
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.