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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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Concepts
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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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Toc

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

Benefits of using MySQL

Whether you are a developer or an enterprise, you would obviously choose the technology that provides good benefits and results when compared to other similar products. MySQL provides numerous advantages as the first choice in this competitive market. It has various powerful features available that make it a more comprehensive database. Let's now go through some benefits of using MySQL.

Security

The first thing that comes to mind is securing data, because nowadays data has become precious and can impact business continuity if legal obligations are not met; in fact, it can be so bad that it can close down your business in no time. MySQL is the most secure and reliable database management system used by many well-known enterprises such as Facebook, Twitter, and Wikipedia. It really provides a good security layer that protects sensitive information from intruders. MySQL gives access control management so that granting and revoking required access from the user is easy. Roles can also be defined with a list of permissions that can be granted or revoked for the user. All user passwords are stored in an encrypted format using plugin-specific algorithms.

Scalability

Day by day, the mountain of data is growing because of extensive use of technology in numerous ways. Due to this, load average is going through the roof. For some cases, it is unpredictable that data cannot exceed up to some limit or number of users will not go out of bounds. Scalable databases would be a preferable solution so that, at any point, we can meet unexpected demands to scale. MySQL is a rewarding database system for its scalability, which can scale horizontally and vertically; in terms of data and load of application queries across multiple MySQL servers is quite feasible. It is pretty easy to add horsepower to the MySQL cluster to handle the load.

An open source relational database management system

MySQL is an open source database management system that makes debugging, upgrading, and enhancing the functionality fast and easy. You can view the source and make the changes accordingly and use it in your own way. You can also distribute an extended version of MySQL but it requires a license for this.

High performance

MySQL gives high speed transaction processing with optimal speed. It can cache the results, which boosts read performance. Replication and clustering enables for better concurrency and manages the workload. Database indexes also accelerate the performance of SELECT query statements for large amounts of data. To enhance performance, MySQL 8 has included indexes in performance schema to speed up data retrieval.

High availability

Today, in the world of competitive marketing, an organization's key point is to have their system up and running. Any failure or downtime directly impacts business and revenue; hence, high availability is a factor that cannot be overlooked. MySQL is quite reliable and has constant availability using cluster and replication configurations. Cluster servers instantly handle failures and manage the failover part to keep your system available almost all the time. If one server gets down, it will redirect the user's request to another node and perform the requested operation.

Cross-platform capabilities

MySQL provides cross-platform flexibility that can run on various platforms such as Windows, Linux, Solaris, OS 2, and so on. It has great API support for the all major languages, which makes it very easy to integrate with languages like PHP, C++, Perl, Python, Java, and so on. It is also part of the LAMP (Linux Apache MySQL PHP) server that is used worldwide for web applications.

It's now time to get our hands dirty and take a look at MySQL 8; let's start with the installation of MySQL 8 on a Linux platform in our case. We prefer MySQL 8 on a Linux operating system as that has been a common use case across many organizations. You are able to use it on other platforms that MySQL supports, such as Windows, Solaris, HP-UNIX, and so on. Linux provides various ways to install the MySQL server, as follows:

  • RPM package
  • YUM repository
  • APT repository
  • SLES repository
  • Debian package
  • TAR package
  • Compiling and installing from the source code

We will install MySQL 8 with an RPM-based Linux distribution provided by Oracle; however, you can choose either of the approaches mentioned here. Let's see how to obtain and install it using the RPM package.

You have been reading a chapter from
MySQL 8 for Big Data
Published in: Oct 2017
Publisher: Packt
ISBN-13: 9781788397186
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