Book Image

MySQL 8 for Big Data

By : Shabbir Challawala, Chintan Mehta, Kandarp Patel, Jaydip Lakhatariya
Book Image

MySQL 8 for Big Data

By: Shabbir Challawala, Chintan Mehta, Kandarp Patel, Jaydip Lakhatariya

Overview of this book

With organizations handling large amounts of data on a regular basis, MySQL has become a popular solution to handle this structured Big Data. In this book, you will see how DBAs can use MySQL 8 to handle billions of records, and load and retrieve data with performance comparable or superior to commercial DB solutions with higher costs. Many organizations today depend on MySQL for their websites and a Big Data solution for their data archiving, storage, and analysis needs. However, integrating them can be challenging. This book will show you how to implement a successful Big Data strategy with Apache Hadoop and MySQL 8. It will cover real-time use case scenario to explain integration and achieve Big Data solutions using technologies such as Apache Hadoop, Apache Sqoop, and MySQL Applier. Also, the book includes case studies on Apache Sqoop and real-time event processing. By the end of this book, you will know how to efficiently use MySQL 8 to manage data for your Big Data applications.
Table of Contents (17 chapters)
Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Summary


By now, you have learned the different database engines available in MySQL 8 and their applications. We established how to create tables, modify existing tables, and how to add/remove columns from an existing table. We also understood how to drop tables and databases. We learned in detail about different filter criteria available in MySQL. After that, we explored the different joins available in MySQL 8 and how to use joins in a query to fetch meaningful data from the database in a single query. We explored how database transactions work in MySQL and the importance of transactions in real-life scenarios. Lastly, we understood how to use aggregate functions in MySQL and learned the usage of different aggregate functions such as group by, having, min(), max(), avg(), sum(), and count(), and how to store JSON information in the database.

In the next chapter, you will learn how indexing works in MySQL 8, the new features introduced related to indexing, different types of indexing, and...