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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

Product type Paperback

Published in Oct 2017

Publisher Packt

ISBN-13 9781788397186

Length 296 pages

Edition 1st Edition

Languages

SQL

Tools

Hadoop

Concepts

Big Data

Authors (4):

Challawala

Jaydip Lakhatariya

Mehta

Patel

View More author details

Table of Contents (17) Chapters

Title Page

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Customer Feedback

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

Case study overview

MySQL is a proven solution to store transactional data that is used to maintain ACID properties during write operations. Starting from MySQL 5.6, it also includes the new NoSQL Memcached API for InnoDB, which improves performance for high volume data ingestion. Hadoop is used to store a huge amount of data (in petabytes) and processing it for many scenarios such as storing archived data or various historical data. Analytical processing of data was handled offline and was not an integrated part of the data processing. However, the technology has evolved and nowadays, Hadoop is an active part of data flows for many use cases where we require real-time data processing and provisioning of data to the user.

We can use MySQL to store the transnational data and Hadoop to store huge amount of data which can easily process the data using a map-reduce algorithm. We can take advantages of both technology to unlock the Big Data analysis. There are various use cases where we need to...

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Authors (4)

Challawala

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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Jaydip Lakhatariya

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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Mehta

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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Patel

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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