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  • Book Overview & Buying MySQL 8 for Big Data
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MySQL 8 for Big Data

MySQL 8 for Big Data

By : Challawala, Jaydip Lakhatariya, Mehta, Patel
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MySQL 8 for Big Data

MySQL 8 for Big Data

5 (1)
By: Challawala, Jaydip Lakhatariya, Mehta, Patel

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 (11 chapters)
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Replication with MySQL


MySQL replication works based on master-slave architecture. From group of MySQL servers, one server acts as a master and other servers work as slave server. All write operations are performed on the master server while read operations are performed on any of the slave servers. Connection between master and slave servers is done based on the configuration. In coming topics we will learn different configuration for synchronizing master and slave databases.

Benefits of replication in MySQL 8

Let's quickly look at a few benefits of MySQL 8 replication.

Scalable applications

As we said earlier, replication shares load between master and slave databases. So, now amount of activity for the database has been reduced. Master will only perform write operation and will not be worried about the read operations, while slaves will only be taking care of read operation without worrying about write operations. This mechanism actually makes the MySQL to perform faster. Also, it is easy...

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MySQL 8 for Big Data
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