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

NoSQL overview


The word NoSQL means No SQL, which means that it will skip the SQL layer and use the database directly. As data is rapidly growing everyday and big data enters the picture to make the data scalable and faster, then NoSQL helps in managing massive volumes of data with the evolution of the Relational Database Management System (RDBMS).

Many have also interpreted NoSQL as Not Only SQL, because this is not a complete replacement of the SQL layer but, we can say, a complementary addition to the Relational Database. NoSQL does not follow the rules of a relational database and can access data with the traditional database easily.

MySQL has already maintained its popularity in the structured world, but as per the current scenario, data has been pushing the boundaries, which takes storage and analysis to an entirely new level. This push of data has raised the need for NoSQL under big data to make stronger analysis and provide effective performance. This way, MySQL has unlocked its pure...