Book Image

Data Analysis Using SQL and Excel - Second Edition

By : Gordon S. S. Linoff
Book Image

Data Analysis Using SQL and Excel - Second Edition

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)
Free Chapter
1
Foreword
17
EULA

Using Indexes Effectively

Indexes are the single most important part of a relational database for improving query performance. The subject of indexes in databases is very broad. This section starts with a discussion of different types of indexes. It then moves on to the types of queries that can benefit from indexes and how to look at a query from the perspective of “what is the best index.”

What Are Indexes?

An index is a supporting data structure that speeds access to specific rows in a table. You do not query indexes directly. Instead, the query optimizer knows about them and decides when to use one in addition to—or even instead of—the original table.

Earlier, this chapter discussed a simple way to think of an index: as a table with columns sorted along with a row identifier. By providing additional information about where values are located, indexes can radically speed up queries.

The syntax for creating an index is:

CREATE INDEX <index name> ON...