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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
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Matt Goldwasser
Upom Malik Upom Malik
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Upom Malik
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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

Reading Tables: The SELECT Query

The most common operation in a database is reading data from a database. This is almost exclusively done through the use of the SELECT keyword.

Basic Anatomy and Working of a SELECT Query

Generally speaking, a query can be broken down into five parts:

  • Operation: The first part of a query describes what is going to be done. In this case, this is the word SELECT, followed by the names of columns combined with functions.
  • Data: The next part of the query is the data, which is the FROM keyword followed by one or more tables connected together with reserved keywords indicating what data should be scanned for filtering, selection, and calculation.
  • Conditional: A part of the query that filters the data to only rows that meet a condition usually indicated with WHERE.
  • Grouping: A special clause that takes the rows of a data source, assembles them together using a key created by a GROUP BY clause, and then calculates a value using...
You have been reading a chapter from
SQL for Data Analytics
Published in: Aug 2019
Publisher: Packt
ISBN-13: 9781789807356
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