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)

Introduction to Big Data and Data Management

This chapter addresses the concept of big data, its sources, and its types. In addition to this, the chapter focuses on giving a theoretical foundation about data modeling and data management. Readers will be getting their hands dirty with setting up a platform where we can utilize big data. The major topics discussed in this chapter are summarized as follows:

  • Discover the concept of big data and its origins
  • Learn about the various characteristics of big data
  • Discuss and explore various challenges in big data mining
  • Get familiar with big data modeling and its uses
  • Understand what big data management is and its importance and implications
  • Set up a big data platform on a local machine