Details zum E-Book

SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL

SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL

Upom Malik, Matt Goldwasser, Benjamin Johnston

E-book
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.
  • 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
  • Titel: SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL
  • Autor: Upom Malik, Matt Goldwasser, Benjamin Johnston
  • Originaler Titel: SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL
  • ISBN: 9781789803846, 9781789803846
  • Veröffentlichungsdatum: 2019-08-23
  • Format: E-book
  • Artikelkennung: e_2azx
  • Verleger: Packt Publishing