MySQL 8 for Big Data: Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools
English | 20 Oct. 2017 | ISBN: 1788397185 | ASIN: B076Q6DFZ9 | 283 Pages | AZW3 | 3.79 MB
Uncover the power of MySQL 8 for Big Data
About This Book
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
Who This Book Is 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
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.
Style and approach
Step by Step guide filled with real-world practical examples.
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Building Data Streaming Applications with Apache Kafka
R Data Mining Blueprints
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
MongoDB Administrator's Guide
Beginner's T-SQL Training Guide
SQL Server 2005 Bible
Databases with Access: Learning Made Simple
Microsoft SQL Server Reporting Services Recipes: for Designing Expert Reports
Oracle RMAN Database Duplication
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