Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools
Shabbir Challawala, Jaydip Lakhatariya, Chintan Mehta, Kandarp Patel
Updated on Oct, 2020
Programming, Database and Design Development, MySQL
Formats : PDF, EPUB, MOBI (Downlodable)
ISBN : 9781788390422
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.
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