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


In this chapter, we discussed Big Data and its importance in various industries. We also looked into different Big Data segments and their life cycle phases including collecting, storing, analyzing, and governance. We discussed structured databases and why we require a structured database for Big Data. We looked at major features of the MySQL database and explored the newly added features in the MySQL 8 version. Then, we discussed the major benefits of using MySQL and learned how to install MySQL 8 in the Linux system using the RPM package. Finally, we understood how MySQL can be used in Big Data analysis and how it can fit within the Big Data life cycle phases with the help of Hadoop and Apache Sqoop.

In the next chapter, you will learn different query techniques with MySQL 8 including joins and aggregating datasets.