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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

Data Query Techniques in MySQL 8

In Chapter 1, Introduction to Big Data and MySQL 8, we saw an overview of big data and MySQL 8 along with new features of MySQL 8 followed by the installation of MySQL 8. In this chapter, we will explore data query techniques. This chapter assumes that you have gone through the previous chapter and are familiar with MySQL 8 and how to install MySQL 8.

In this chapter, we will cover the following important topics for MySQL 8 query techniques:

  • Overview of SQL
  • Database storage engines and types
  • Select statements in MySQL
  • Insert and update statements in SQL
  • Transactions in MySQL
  • Aggregating data in MySQL 8
  • JSON Data Type and selecting and updating in JSON Data Type

Before we move on to the details, let's have an overview of SQL with respect to MySQL.

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