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

Chapter 2. Data Query Techniques in MySQL 8

In Chapter 1, Introduction to Big Data and MySQL 8, we saw an overview of big data and MySQL 8 along with new features of MySQL 8 followed by the installation of MySQL 8. In this chapter, we will explore data query techniques. This chapter assumes that you have gone through the previous chapter and are familiar with MySQL 8 and how to install MySQL 8.

In this chapter, we will cover the following important topics for MySQL 8 query techniques:

  • Overview of SQL
  • Database storage engines and types
  • Select statements in MySQL
  • Insert and update statements in SQL
  • Transactions in MySQL
  • Aggregating data in MySQL 8
  • JSON Data Type and selecting and updating in JSON Data Type

Before we move on to the details, let's have an overview of SQL with respect to MySQL.