MySQL 8 for Big Data: Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools

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Key benefits

Combine the powers of MySQL and Hadoop to build a solid Big Data solution for your organization

Integrate MySQL with different NoSQL APIs and Big Data tools such as Apache Sqoop

A comprehensive guide with practical examples on building a high performance Big Data pipeline with MySQL

Description

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.

Who is this book for?

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.

What you will learn

• Explore the features of MySQL 8 and how they can be leveraged to handle Big Data

• Unlock the new features of MySQL 8 for managing structured and unstructured Big Data

• Integrate MySQL 8 and Hadoop for efficient data processing

• Perform aggregation using MySQL 8 for optimum data utilization

• Explore different kinds of join and union in MySQL 8 to process Big Data efficiently

• Accelerate Big Data processing with Memcached

• Integrate MySQL with the NoSQL API

• Implement replication to build highly available solutions for Big Data

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

AU$60.99

AU$67.99

AU$75.99

Total AU$ 204.97

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Atul saini Dec 20, 2017

Book explaining the advanced mysql concepts in a very easy way , best thing in this book is you can cover the whole book within 1 week and every page will give you a fresh knowledge , book is for both administrator and developers , although i cover only 60 % of the book but thought review can be helpful for others to take this book .will update for the remaining part as well. PS please review the sample before buy as it not for newbies

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MySQL 8 for Big Data: Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools

What do you get with eBook?