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

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

Autor: Jaydip Lakhatariya, Chintan Mehta, Shabbir Challawala, Nikunj Ranpura, Kandarp Patel

ebook

134,10 zł 149,00 zł -10%

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Wydawca
Packt Publishing
Rodzaj
ebook
Stron
296
Data wydania
2017-10-20
ISBN
9781788390422

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Opis

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.

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