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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):

Chintan Mehta

Shabbir Challawala

Jaydip Lakhatariya

Kandarp Patel

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Table of Contents (11) Chapters

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

Summary

In this chapter, we have gone through case study of recommendation engine in an e-commerce application. We found different tools for transferring data from MySQL to big data technologies like Hadoop. We learnt exciting topic of MySQL applier overview along with installation and it's integration. Then, we understood how to use MySQL applier for real time processing of data. We also learnt on how we can organize and analyze data in Hadoop's Hive and transfer data from MySQL to Hadoop using MySQL Applier.

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Authors (4)

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 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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Patel

Yogesh Patel has been programming since the year 2000, and has been working in the IT industry for over ten years on a variety of technologies. He was mainly involved in Sitecore or .NET-based development in the Indian offices of US and UK-based organizations. He has worked at Investis Ltd as a technical architect and has lead a Sitecore development team. Yogesh has held a number of positions and has a lot of responsibilities, having worked at Investis since 2009. He has been recognized as a Most Valuable Professional (MVP) by Sitecore for 2014, 2015, and 2016. As a developer, Yogesh enjoys learning new programming techniques, practices, and tactics. He has worked on .NET since 2005 and Sitecore since 2009. He has also spent plenty of time developing in C, VC++, MATLAB, VB6, ASP, Java, PHP, AppleScript, SQL, and MySQL, but his current focus is on .NETespecially Sitecore. His blog can be found at http://sitecoreblog.patelyogesh.in. You can find Yogesh on Twitter at @patelyogesh_in, as well as LinkedIn (yspatel) and Facebook (patelyogesh.in).

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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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