0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R1,000 - R2,500 (1)
  • -
Status
Brand

Showing 1 - 1 of 1 matches in All Departments

MySQL 8 for Big Data (Paperback): Shabbir Challawala, Jaydip Lakhatariya, Chintan Mehta, Kandarp Patel MySQL 8 for Big Data (Paperback)
Shabbir Challawala, Jaydip Lakhatariya, Chintan Mehta, Kandarp Patel
R1,218 Discovery Miles 12 180 Ships in 10 - 15 working days

Uncover the power of MySQL 8 for Big Data About This Book * 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 Who This Book Is 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 In Detail 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. Style and approach Step by Step guide filled with real-world practical examples.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Garmin Forerunner 55 Smartwatch (Grey)
R4,699 R4,299 Discovery Miles 42 990
Vital BabyŽ NOURISH™ Power™ Suction Bowl…
R159 Discovery Miles 1 590
Mission Impossible 6: Fallout
Tom Cruise, Henry Cavill, … Blu-ray disc  (1)
R131 R91 Discovery Miles 910
Loot
Nadine Gordimer Paperback  (2)
R205 R164 Discovery Miles 1 640
Russell Hobbs Toaster (4 Slice) (Matt…
R1,167 Discovery Miles 11 670
Marco Silicone Cellphone Card Holder…
R19 R10 Discovery Miles 100
Brother LC472XLY Ink Cartridge (Yellow…
R449 R419 Discovery Miles 4 190
Sylvanian Families - Walnut Squirrel…
R749 R579 Discovery Miles 5 790
Cracker Island
Gorillaz CD R207 R114 Discovery Miles 1 140
Operation Joktan
Amir Tsarfati, Steve Yohn Paperback  (1)
R250 R185 Discovery Miles 1 850

 

Partners