MySQL 8 for Big Data
(2017)

Nonfiction

eBook

Provider: hoopla

Details

PUBLISHED
[United States] : Packt Publishing, 2017
Made available through hoopla
DESCRIPTION

1 online resource (266 pages)

ISBN/ISSN
9781788390422 MWT17596497, 1788390423 17596497
LANGUAGE
English
NOTES

Uncover the power of MySQL 8 for Big Data This book is intended for MySQL database administrators and Big Data professionals looking to integrate MySQL 8 and Hadoop to implement a high performance Big Data solution. Some previous experience with MySQL will be helpful, although the book will highlight the newer features introduced in MySQL 8. 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. Step by Step guide filled with real-world practical examples

Mode of access: World Wide Web

Additional Credits