SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL (pdf)

$5.00

Author Upom Malik, Matt Goldwasser, Benjamin Johnston
Edition 1
Edition Year 2019
Format PDF
ISBN 9781789807356
Language English
Number Of Pages 386
Publisher Packt Publishing

Description

Book Description

Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don’t know how to use it to gain the most effective business insights from data, this book is for you.

SQL for Data Analytics helps you build the skills to move beyond basic SQL and instead learn to spot patterns and explain the logic hidden in data. You’ll discover how to explore and understand data by identifying trends and unlocking deeper insights. You’ll also gain experience working with different types of data in SQL, including time-series, geospatial, and text data. Finally, you’ll learn how to increase your productivity with the help of profiling and automation.

By the end of this book, you’ll be able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of an analytics professional.

Please note: if you are having difficulty loading the sample datasets, there are new instructions uploaded to the GitHub repository. The link to the GitHub repository can be found in the book’s preface.

What you will learn

  • Perform advanced statistical calculations using the WINDOW function
  • Use SQL queries and subqueries to prepare data for analysis
  • Import and export data using a text file and psql
  • Apply special SQL clauses and functions to generate descriptive statistics
  • Analyze special data types in SQL, including geospatial data and time data
  • Optimize queries to improve their performance for faster results
  • Debug queries that won’t run
  • Use SQL to summarize and identify patterns in data

Who this book is for

If you’re a database engineer looking to transition into analytics, or a backend engineer who wants to develop a deeper understanding of production data, you will find this book useful. This book is also ideal for data scientists or business analysts who want to improve their data analytics skills using SQL. Knowledge of basic SQL and database concepts will aid in understanding the concepts covered in this book.

Table of Contents

  1. Understanding and Describing Data
  2. The Basics of SQL for Analytics
  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

Additional information

Author

Upom Malik, Matt Goldwasser, Benjamin Johnston

Edition

1

Edition Year

2019

Format

PDF

ISBN

9781789807356

Language

English

Number Of Pages

386

Publisher

Packt Publishing

Reviews

There are no reviews yet.

Be the first to review “SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL (pdf)”

Your email address will not be published. Required fields are marked *