MySQL 8 for Big Data
MySQL is one of the most popular relational databases in the world today, and has become a popular choice of tool to handle vast amounts of structured data - that is, structured Big Data. This book will demonstrate how you can dabble with large amounts of data using MySQL 8. It also highlights topics such as integrating MySQL 8 and a Big Data solution like Apache Hadoop using different tools like Apache Sqoop and MySQL Applier. With practical examples and use-cases, you will get a better clarity on how you can leverage the offerings of MySQL 8 to build a robust Big Data solution.
Offered by
Difficulty Level
Intermediate
Completion Time
9h52m
Language
English
About Book
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.
MySQL 8 for Big Data
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h52m total length
Introduction to Big Data & MySQL 8
Data query techniques in MySQL8
Indexing your data for high performing query
Using Memcached with MySQL8
Partitioning High Volume Data
Using Replication for building highly available solution
MySQL 8 Best Practices
NoSQL API for Integrating with Big Data Solutions
Apache Sqoop for Exchanging Data between Mysql and Hadoop
Realtime event processing using MySQL applier
Related Resources
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