English | August 23rd, 2019 | ISBN: 1789807352 | 386 pages | EPUB | 22.29 MB

Key Features

 Explore a variety of statistical techniques to analyze your data

 Integrate your SQL pipelines with other analytics technologies

 Perform advanced analytics such as geospatial and text analysis

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 dont know how to use it to gain business insights from data, this book is for you.

SQL for Data Analytics covers everything you need progress from simply knowing basic SQL to telling stories and identifying trends in data. Youll be able to start exploring your data by identifying patterns and unlocking deeper insights. Youll also gain experience working with different types of data in SQL, including time-series, geospatial, and  text data. Finally, youll understand how to become productive with SQL with the help of profiling and automation to gain insights faster.

By the end of the book, youll able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of analytics professional.

What you will learn

 Use SQL to summarize and identify patterns in data

 Apply special SQL clauses and functions to generate descriptive statistics

 Use SQL queries and subqueries to prepare data for analysis

 Perform advanced statistical calculations using the window function

 Analyze special data types in SQL, including geospatial data and time data

 Import and export data using a text file and PostgreSQL

 Debug queries that won't run

 Optimize queries to improve their performance for faster results

Who this book is for

If youre 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.