文件名称：MySQL 8 for Big Data-Packt Publishing(2017).pdf
文件大小：4.99MB
文件格式：PDF
更新时间：2021-03-29 11:30:20
MySQL8 Hadoop NoSQL BigData
With the 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 Database Administrators (DAs) can use MySQL 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 Big Data solutions for their data archiving, storage, and analysis needs. However, integrating them can be challenging. This book will show how to implement a successful Big Data strategy with Apache Hadoop and MySQL 8. It will cover real-time use case scenarios to explain integration and achieving Big Data solutions using different technologies such as Apache Hadoop, Apache Sqoop, and MySQL Applier. The book will have discussion on topics such as features of MySQL 8, best practices for using MySQL 8, and NoSQL APIs provided by MySQL 8, and will also have a use case on using MySQL 8 for managing Big Data. By the end of this book, you will learn how to efficiently use MySQL 8 to manage data for your Big Data applications.