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


At the end of this chapter, we can now be sure about how we can use MySQL as a NoSQL database with our application that is built on different programming languages. At the start of this chapter, we discussed about the NoSQL database and its major advantages to use for use in our applications. Later, we have seen the differences between SQL and NoSQL and then we started looking into the different APIs with basic examples. We have understood the Memcached API with basic examples in different programming languages such as Java, PHP, Python, and Perl, which provide access to MySQL as a NoSQL database. Then, we have seen different NoSQL APIs used to manage the database for a clustered environment. We have discussed the NDB API and how it can be used with different programming languages such as NodeJS, Java, and C++. These different, supporting NoSQL APIs make it convenient for the developers and enterprises to handle big data within MySQL.

In the next chapter, we will understand how we...