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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 versus SQL


Let's see the major differences between NoSQL and SQL databases:

NoSQL

SQL

NoSQL is referred to as a non-relational and distributed database system.

SQL is referred to as relational database system.

NoSQL is horizontally scalable.

SQL is vertically scalable.

NoSQL does not use a structured query language. It has an unstructured query language, which varies from database to database.

SQL uses the structured query language to manipulate the data.

NoSQL does not have a fixed or predefined schema.

SQL has a predefined static database.

NoSQL stores data in key/value pairs.

SQL stores data in tabular format.

For complex relational queries, NoSQL is not suitable.

SQL is best suited for complex relational queries.

Preferable to handle big data.

Preferable to handle relational data.

NoSQL stores data in the form of collections where data can be duplicated and stored in a single entity. Hence, reading/writing on a single entity is easier and faster.

SQL stores data in a normalized way and breaks down...

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