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MySQL 8 for Big Data

You're reading from   MySQL 8 for Big Data Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781788397186
Length 296 pages
Edition 1st Edition
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Authors (4):
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Chintan Mehta Chintan Mehta
Author Profile Icon Chintan Mehta
Chintan Mehta
Shabbir Challawala Shabbir Challawala
Author Profile Icon Shabbir Challawala
Shabbir Challawala
Jaydip Lakhatariya Jaydip Lakhatariya
Author Profile Icon Jaydip Lakhatariya
Jaydip Lakhatariya
Kandarp Patel Kandarp Patel
Author Profile Icon Kandarp Patel
Kandarp Patel
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Big Data and MySQL 8 FREE CHAPTER 2. Data Query Techniques in MySQL 8 3. Indexing your data for High-Performing Queries 4. Using Memcached with MySQL 8 5. Partitioning High Volume Data 6. Replication for building highly available solutions 7. MySQL 8 Best Practices 8. NoSQL API for Integrating with Big Data Solutions 9. Case study: Part I - Apache Sqoop for exchanging data between MySQL and Hadoop 10. Case study: Part II - Real time event processing using MySQL applier

NoSQL overview


The word NoSQL means No SQL, which means that it will skip the SQL layer and use the database directly. As data is rapidly growing everyday and big data enters the picture to make the data scalable and faster, then NoSQL helps in managing massive volumes of data with the evolution of the Relational Database Management System (RDBMS).

Many have also interpreted NoSQL as Not Only SQL, because this is not a complete replacement of the SQL layer but, we can say, a complementary addition to the Relational Database. NoSQL does not follow the rules of a relational database and can access data with the traditional database easily.

MySQL has already maintained its popularity in the structured world, but as per the current scenario, data has been pushing the boundaries, which takes storage and analysis to an entirely new level. This push of data has raised the need for NoSQL under big data to make stronger analysis and provide effective performance. This way, MySQL has unlocked its pure...

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