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MySQL 8 for Big Data

You're reading from   MySQL 8 for Big Data Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781788397186
Length 296 pages
Edition 1st Edition
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Authors (4):
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Chintan Mehta Chintan Mehta
Author Profile Icon Chintan Mehta
Chintan Mehta
Shabbir Challawala Shabbir Challawala
Author Profile Icon Shabbir Challawala
Shabbir Challawala
Jaydip Lakhatariya Jaydip Lakhatariya
Author Profile Icon Jaydip Lakhatariya
Jaydip Lakhatariya
Kandarp Patel Kandarp Patel
Author Profile Icon Kandarp Patel
Kandarp Patel
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Big Data and MySQL 8 FREE CHAPTER 2. Data Query Techniques in MySQL 8 3. Indexing your data for High-Performing Queries 4. Using Memcached with MySQL 8 5. Partitioning High Volume Data 6. Replication for building highly available solutions 7. MySQL 8 Best Practices 8. NoSQL API for Integrating with Big Data Solutions 9. Case study: Part I - Apache Sqoop for exchanging data between MySQL and Hadoop 10. Case study: Part II - Real time event processing using MySQL applier

Introduction to Big Data and MySQL 8

Today we are in the age of digitalization. We are producing enormous amounts of data in many ways--social networking, purchasing at grocery stores, bank/credit card transactions, emails, storing data on clouds, and so on. One of the first questions that comes to mind is: are you getting the utmost out of the collected data? For this data tsunami, we need to have appropriate tools to fetch data in an organized way that can be used in various fields such as scientific research, real-time traffic, fighting crime, fraud detection, digital personalization, and so on. All this data needs to be captured, stored, searched, shared, transferred, analyzed, and visualized.

Analysis of structured, unstructured, or semi-structured ubiquitous data helps us discover hidden patterns, market trends, correlations, personal preferences, and so on. With the help of the right tools to process and analyze, data organization can result in much better marketing plans, additional revenue opportunities, improved customer service, healthier operational efficiency, competitive benefits, and much more.

Every company collects data and uses it; however, to potentially flourish, a company needs to use data more effectively. Every company must carve out direct links to produced data, which can improve business either directly or indirectly.

Okay, now you have Big Data, which is generally being referred to as a large quantity of data, and you are doing analysis--is this what you need? Hold on! The other most critical factor is to successfully monetize the data. So, get ready and fasten your seatbelts to fly in understanding the importance of Big Data!

In this chapter we will learn about below points to find out Big Data's role in today's life and basic installation steps for MySQL 8:

  • Importance of Big Data
  • Life cycle of Big Data
  • What is structured database
  • MySQL's basics
  • New feature introduced in MySQL 8
  • Benefits of using MySQL 8
  • How to install MySQL 8
  • Evolution of MySQL for Big Data
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MySQL 8 for Big Data
Published in: Oct 2017
Publisher: Packt
ISBN-13: 9781788397186
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