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Can I read SQL Server Analytical Toolkit : Using Windowing, Analytical, Ranking, and Aggregate Functions for Data and Statistical Analysis on EtoBox?

SQL Server Analytical Toolkit : Using Windowing, Analytical, Ranking, and Aggregate Functions for Data and Statistical Analysis by Angelo Bobak is a nonfiction available to read on EtoBox.

What is SQL Server Analytical Toolkit : Using Windowing, Analytical, Ranking, and Aggregate Functions for Data and Statistical Analysis about?

Learn window function foundational concepts through a cookbook-style approach, beginning with an introduction to the OVER() clause, its various configurations in terms of how partitions and window frames are created, and how data is sorted in the partition so that the window function can operate on the partition data sets. You will build a toolkit based not only on the window functions but also on the performance tuning tools, use of Microsoft Excel to graph results, and future tools you can learn such as PowerBI, SSIS, and SSAS to enhance your data architecture skills. This book goes beyond just showing how each function works. It presents four unique use-case scenarios (sales, financial, engineering, and inventory control) related to statistical analysis, data analysis, and BI. Each section is covered in three chapters, one chapter for each of the window aggregate, ranking, and analytical function categories. Each chapter includes several TSQL code examples and is re-enforced with graphic output plus Microsoft Excel graphs created from the query output. SQL Server estimated query plans are generated and described so you can see how SQL Server processes the query. These together w

Who reads SQL Server Analytical Toolkit : Using Windowing, Analytical, Ranking, and Aggregate Functions for Data and Statistical Analysis?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Angelo Bobak
Publisher
Apress L. P.
Published
2023
Language
EN
ISBN
9781484286661
Category
nonfiction
Subjects
Computer Science, Engineering, Mathematics