Book Image

Hands-On Big Data Modeling

By : James Lee, Tao Wei, Suresh Kumar Mukhiya
Book Image

Hands-On Big Data Modeling

By: James Lee, Tao Wei, Suresh Kumar Mukhiya

Overview of this book

Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with, you’ll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you’ll work with structured and semi-structured data with the help of real-life examples. Once you’ve got to grips with the basics, you’ll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You’ll also learn to create graph data models and explore data modeling with streaming data using real-world datasets. By the end of this book, you’ll be able to design and develop efficient data models for varying data sizes easily and efficiently.
Table of Contents (17 chapters)

Exploring data management with Redis

Redis is an open source, key-value NoSQL technology that features high stability, power, and flexibility in executing a wide range of data operations, and the tasks in an enterprise. Redis is being used by many well-known companies including Twitter, Weibo, Snapchat, Digg, StackOverflow, Flicker, Pinterest, and GitHub.

Getting started with Redis on macOS

Assuming you have homebrew (https://brew.sh/) installed on your system, Redis can be configured as follows:

$ brew install redis

After the successful execution of the preceding command, you will see some notifications. We can continue with the rest of the commands. To check whether Redis is installed correctly or to get package information...