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Sandsynlighedsregning og statistik

SQL Server Analytical Toolkit

Using Windowing, Analytical, Ranking, and Aggregate Functions for Data and Statistical Analysis

Udgivet af APress

Bogdetaljer

  • Hæftet
  • 1055 sider
  • Engelsk
ISBN 9781484286661
Om denne bog

Learn foundational concepts through a cookbook-style approach, beginning with an introduction to the SQL Server functions used for data mining, data analysis, and business intelligence. Each function is described in detail, accompanied by simple coding examples designed to familiarize you with the application of the fu…

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Bogdetaljer
Forfatter Angelo Bobak
Forlag APress
Kategori Sandsynlighedsregning og statistik
ISBN-13 9781484286661
EAN 9781484286661
Format Hæftet
Sprog Engelsk
sider 1055
Undertitel - Using Windowing, Analytical, Ranking, and Aggregate Functions for Data and Statistical Analysis
Produktbeskrivelse
Learn foundational concepts through a cookbook-style approach, beginning with an introduction to the SQL Server functions used for data mining, data analysis, and business intelligence. Each function is described in detail, accompanied by simple coding examples designed to familiarize you with the application of the functions. All code used in the technical chapters is available as a download so you can practice what you have learned.This book goes beyond just showing how each function works by presenting four unique use-case scenarios (sales, financial, engineering, and inventory control) related to statistical analysis, data analysis, and BI. Each section is covered in two chapters, one for introducing the data model and the second for applying the various data processing recipes and functions discussed. You will wrap up your learning with next steps related to business intelligence and its relevance to other Microsoft Tools such as Power BI and Analysis Services.All code examples, including code to create and load each of the database toolkits to learn the application of each function, are available online. What You Will LearnUse SQL Server functions in the context of statistical and data analysisRe-purpose code templates that can be modified for your unique applicationsStudy use-case scenarios that span four critical industriesTry tutorials on statistical and analytical formulas that can be applied to data analysis with SQL ServerGet started with statistical data analysis and data mining using TSQLFollow prescriptive guidance on good coding standards to improve code legibility Who This Book Is ForIntermediate to advanced SQL Server developers and data architects. Technical and savvy business analysts who need to apply sophisticated data analysis for their business users and clients will also benefit. This book offers critical tools and analysis techniques they can apply to their daily job in the disciplines of data mining, data engineering, and business intelligence.

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