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)

Further reading

  • The Digital Universe Decade—Are You Ready? International Data Corporation, Framingham, MA, 2010, by John Gantz and David Reinsel
  • The Human Face of Big Data by Rick Smolan, Jennifer Erwitt
  • Facts about big data, http://barnraisersllc.com/2012/12/38-big-facts-big data-companies/
  • Big Data Concepts, Challenges and Solution in Hadoop Ecosystem, 10 October 2017, Dr. Ujjwal Agarwal
  • Big Data: A Revolution that Will Transform How We Live, Work, and Think by Viktor Mayer-Schönberger, Kenneth Cukier
  • Big Data: Principles and Best Practices of Scalable Real-time Data Systems by Nathan Marz, James Warren
  • Healthcare and Big Data: Digital Specters and Phantom Objects by Mary F.E. Ebeling