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

High availability


Today, data is the most important part of any web, mobile, social, enterprise, and cloud application. Ensuring that data is always available is the top priority for any application. A small amount of downtime can result in significant loss of revenue and reputation for an organization.

Continuous availability of the data has become very critical in current time. And as the size of the data increases with time, it can become tricky to maintain huge amount of data available at any point of time. Losing a connection with the application for the fraction of a time can also make a huge impact on the organization and it can put the reputation of the organization at a stake.

To avoid any impact of inconsistency in application access because of the database, it is the demand of time to build up a highly available architecture. To build a highly available application infrastructure, many things are required to be considered, such as the capabilities of the technologies used for building...