Book Image

MySQL 8 for Big Data

By : Shabbir Challawala, Chintan Mehta, Kandarp Patel, Jaydip Lakhatariya
Book Image

MySQL 8 for Big Data

By: Shabbir Challawala, Chintan Mehta, Kandarp Patel, Jaydip Lakhatariya

Overview of this book

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.
Table of Contents (17 chapters)
Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Aggregating data in MySQL 8


Generally, it happens that data you want is not always available in the database. To generate data, such as getting a total count of orders or sum of price for all orders, MySQL provides many built-in aggregate functions that you can use to represent loaded data to perform calculations in MySQL statements. Data aggregation values can be sums, counting, averages, and so forth. Aggregate functions are all about fetching data from one column of a table, performing calculations on several rows, and returning the required value as an outcome.

As per the ISO standard, there are mainly the following listed aggregate functions:

  • Minimum
  • Maximum
  • Average
  • Count
  • Sum

The importance of aggregate functions

For businesses, there would be several requirements at each level for each of the diversified functions to produce aggregated data to visualize. Top executives of companies would be concerned with having a holistic view of the whole organization; however, a manager would be limited...