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Data Analysis Using SQL and Excel

Data Analysis Using SQL and Excel - Second Edition

By : Gordon S. S. Linoff
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Data Analysis Using SQL and Excel

Data Analysis Using SQL and Excel

By: Gordon S. S. Linoff

Overview of this book

Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis—SQL and Excel—to perform sophisticated data analysis without the need for complex and expensive data mining tools. Written by a leading expert on business data mining, this book shows you how to extract useful business information from relational databases. You'll learn the fundamental techniques before moving into the "where" and "why" of each analysis, and then learn how to design and perform these analyses using SQL and Excel. Examples include SQL and Excel code, and the appendix shows how non-standard constructs are implemented in other major databases, including Oracle and IBM DB2/UDB. The companion website includes datasets and Excel spreadsheets, and the book provides hints, warnings, and technical asides to help you every step of the way. Data Analysis Using SQL and Excel, 2nd Edition shows you how to perform a wide range of sophisticated analyses using these simple tools, sparing you the significant expense of proprietary data mining tools like SAS.
Table of Contents (18 chapters)
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1
Foreword
17
EULA

Appendix Equivalent Constructs Among Databases

Relational databases support SQL in the same way that English is the language of Great Britain, the United States, India, and Jamaica. Although there is much in common among the databases, each dialect has its own vocabulary and accents.

Throughout the book, the SQL examples have used Microsoft T-SQL as the dialect of choice. The purpose of this appendix is to show equivalent SQL constructs in different databases for many of the capabilities used throughout the chapters.

The six database engines, in alphabetical order, are:

  • IBM DB2 version 9 and above
  • MySQL version 5 and above
  • Oracle version 9 and above
  • Postgres version 9 and above
  • SAS proc sql
  • SQL Server version 2012 and above

The databases from IBM, Microsoft, and Oracle are commercial products, although functional versions can often be downloaded for free. MySQL and Postgres are free database engines, and Postgres syntax is used for many commercial products, such as Netezza, Vertica...

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Data Analysis Using SQL and Excel
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