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SQL for Data Analytics

You're reading from   SQL for Data Analytics Perform fast and efficient data analysis with the power of SQL

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781789807356
Length 386 pages
Edition 1st Edition
Languages
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Authors (3):
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Benjamin Johnston Benjamin Johnston
Author Profile Icon Benjamin Johnston
Benjamin Johnston
Matt Goldwasser Matt Goldwasser
Author Profile Icon Matt Goldwasser
Matt Goldwasser
Upom Malik Upom Malik
Author Profile Icon Upom Malik
Upom Malik
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Toc

Table of Contents (11) Chapters Close

Preface 1. Understanding and Describing Data 2. The Basics of SQL for Analytics FREE CHAPTER 3. SQL for Data Preparation 4. Aggregate Functions for Data Analysis 5. Window Functions for Data Analysis 6. Importing and Exporting Data 7. Analytics Using Complex Data Types 8. Performant SQL 9. Using SQL to Uncover the Truth – a Case Study Appendix

Database Scanning Methods

SQL-compliant databases provide a number of different methods for scanning, searching, and selecting data. The right scan method to use is very much dependent on the use case and the state of the database at the time of scanning. How many records are in the database? Which fields are we interested in? How many records do we expect to be returned? How often do we need to execute the query? These are just some of the questions that we may want to ask when selecting the most appropriate scanning method. Throughout this section, we will describe some of the search methods available, how they are used within SQL to execute scans, and a number of scenarios where they should/should not be used.

Query Planning

Before investigating the different methods of executing queries or scanning a database for information, it is useful to understand how the SQL server makes various decisions about the types of queries to be used. SQL-compliant databases possess a powerful...

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