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MySQL 8 for Big Data

You're reading from MySQL 8 for Big Data

Product type Book

Published in Oct 2017

Publisher Packt

ISBN-13 9781788397186

Pages 296 pages

Edition 1st Edition

Languages

Concepts

Authors (4):

Shabbir Challawala

Chintan Mehta

Kandarp Patel

Jaydip Lakhatariya

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Table of Contents (17) Chapters

Title Page

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

Introduction to Big Data and MySQL 8

Data Query Techniques in MySQL 8

Indexing your data for High-Performing Queries

Using Memcached with MySQL 8

Partitioning High Volume Data

Replication for building highly available solutions

MySQL 8 Best Practices

NoSQL API for Integrating with Big Data Solutions

Case study: Part I - Apache Sqoop for exchanging data between MySQL and Hadoop

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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Authors (4)

Shabbir Challawala

Shabbir Challawala has over 8 years of rich experience in providing solutions based on MySQL and PHP technologies. He is currently working with KNOWARTH Technologies. He has worked in various PHP-based e-commerce solutions and learning portals for enterprises. He has worked on different PHP-based frameworks, such as Magento E-commerce, Drupal CMS, and Laravel. Shabbir has been involved in various enterprise solutions at different phases, such as architecture design, database optimization, and performance tuning. He has been carrying good exposure of Software Development Life Cycle process thoroughly. He has worked on integrating Big Data technologies such as MongoDB and Elasticsearch with a PHP-based framework.

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Chintan Mehta

Chintan Mehta is a co-founder of KNOWARTH Technologies and heads the cloud/RIMS/DevOps team. He has rich, progressive experience in server administration of Linux, AWS Cloud, DevOps, RIMS, and on open source technologies. He is also an AWS Certified Solutions Architect. Chintan has authored MySQL 8 for Big Data, Mastering Apache Solr 7.x, MySQL 8 Administrator's Guide, and Hadoop Backup and Recovery Solutions. Also, he has reviewed Liferay Portal Performance Best Practices and Building Serverless Web Applications.

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Kandarp Patel

Kandarp Patel leads PHP practices at KNOWARTH Technologies. He has vast experience in providing end-to-end solutions in CMS, LMS, WCM, and e-commerce, along with various integrations for enterprise customers. He has over 9 years of rich experience in providing solutions in MySQL, MongoDB, and PHP-based frameworks. Kandarp is also a certified MongoDB and Magento developer. Kandarp has experience in various Enterprise Application development phases of the Software Development Life Cycle and has played prominent role in requirement gathering, architecture design, database design, application development, performance tuning, and CD/CI. Kandarp has a Bachelor of Engineering in Information Technology from a reputed university in India.

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Jaydip Lakhatariya

Jaydip Lakhatariya has rich experience in portal and J2EE frameworks. He adapts quickly to any new technology and has a keen desire for constant improvement. Currently, Jaydip is associated with a leading open source enterprise development company, KNOWARTH Technologies, where he is engaged in various enterprise projects. Jaydip, a full-stack developer, has proven his versatility by adopting technologies such as Liferay, Java, Spring, Struts, Hadoop, MySQL, Elasticsearch, Cassandra, MongoDB, Jenkins, SCM, PostgreSQL, and many more. He has been recognized with awards such as Merit, Commitment to Service, and also as a Star Performer. He loves mentoring people and has been delivering training for Portals and J2EE frameworks.

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