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MySQL 8 for Big Data
MySQL 8 for Big Data

MySQL 8 for Big Data: Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools

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Profile Icon Challawala Profile Icon Jaydip Lakhatariya Profile Icon Patel Profile Icon Mehta
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$19.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Paperback Oct 2017 296 pages 1st Edition
eBook
$27.98 $39.99
Paperback
$48.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Challawala Profile Icon Jaydip Lakhatariya Profile Icon Patel Profile Icon Mehta
Arrow right icon
$19.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Paperback Oct 2017 296 pages 1st Edition
eBook
$27.98 $39.99
Paperback
$48.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$27.98 $39.99
Paperback
$48.99
Subscription
Free Trial
Renews at $19.99p/m

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MySQL 8 for Big Data

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Key benefits

  • Combine the powers of MySQL and Hadoop to build a solid Big Data solution for your organization
  • Integrate MySQL with different NoSQL APIs and Big Data tools such as Apache Sqoop
  • A comprehensive guide with practical examples on building a high performance Big Data pipeline with MySQL

Description

With organizations handling large amounts of data on a regular basis, MySQL has become a popular solution to handle this structured Big Data. In this book, you will see how DBAs can use MySQL 8 to handle billions of records, and load and retrieve data with performance comparable or superior to commercial DB solutions with higher costs. Many organizations today depend on MySQL for their websites and a Big Data solution for their data archiving, storage, and analysis needs. However, integrating them can be challenging. This book will show you how to implement a successful Big Data strategy with Apache Hadoop and MySQL 8. It will cover real-time use case scenario to explain integration and achieve Big Data solutions using technologies such as Apache Hadoop, Apache Sqoop, and MySQL Applier. Also, the book includes case studies on Apache Sqoop and real-time event processing. By the end of this book, you will know how to efficiently use MySQL 8 to manage data for your Big Data applications.

Who is this book for?

This book is intended for MySQL database administrators and Big Data professionals looking to integrate MySQL 8 and Hadoop to implement a high performance Big Data solution. Some previous experience with MySQL will be helpful, although the book will highlight the newer features introduced in MySQL 8.

What you will learn

  • • Explore the features of MySQL 8 and how they can be leveraged to handle Big Data
  • • Unlock the new features of MySQL 8 for managing structured and unstructured Big Data
  • • Integrate MySQL 8 and Hadoop for efficient data processing
  • • Perform aggregation using MySQL 8 for optimum data utilization
  • • Explore different kinds of join and union in MySQL 8 to process Big Data efficiently
  • • Accelerate Big Data processing with Memcached
  • • Integrate MySQL with the NoSQL API
  • • Implement replication to build highly available solutions for Big Data

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 20, 2017
Length: 296 pages
Edition : 1st
Language : English
ISBN-13 : 9781788397186
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Product Details

Publication date : Oct 20, 2017
Length: 296 pages
Edition : 1st
Language : English
ISBN-13 : 9781788397186
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Table of Contents

10 Chapters
Introduction to Big Data and MySQL 8 Chevron down icon Chevron up icon
Data Query Techniques in MySQL 8 Chevron down icon Chevron up icon
Indexing your data for High-Performing Queries Chevron down icon Chevron up icon
Using Memcached with MySQL 8 Chevron down icon Chevron up icon
Partitioning High Volume Data Chevron down icon Chevron up icon
Replication for building highly available solutions Chevron down icon Chevron up icon
MySQL 8 Best Practices Chevron down icon Chevron up icon
NoSQL API for Integrating with Big Data Solutions Chevron down icon Chevron up icon
Case study: Part I - Apache Sqoop for exchanging data between MySQL and Hadoop Chevron down icon Chevron up icon
Case study: Part II - Real time event processing using MySQL applier Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(1 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
Atul saini Dec 20, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Book explaining the advanced mysql concepts in a very easy way , best thing in this book is you can cover the whole book within 1 week and every page will give you a fresh knowledge , book is for both administrator and developers , although i cover only 60 % of the book but thought review can be helpful for others to take this book .will update for the remaining part as well. PS please review the sample before buy as it not for newbies
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