Hands-On Big Data Modeling

Solve your Big Data problem by learning how to create efficient Data Models.
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Hands-On Big Data Modeling

James Lee , Tao Wei

Solve your Big Data problem by learning how to create efficient Data Models.
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Book Details

ISBN 139781788620901
Paperback314 pages

Book Description

Modeling and managing data is a central focus of all big data projects. In fact, a database sounds to be effective only if you have a logical and much-sophisticated data model. This book provides you to gain practical skills in modeling your own big data projects and how to improve the performance of analytical queries for your specific business requirement.

The book begins by giving the readers with a quick introduction to Big Data and also explains reader, the different data modeling and data management platforms for Big Data. The readers will then learn about the different data model structures like Structured and Semi-Structured data with the help of real-life examples. The book then moves on to teach the readers to model data using the SQL Database Modeler. You will learn how to model data containing different file types like CSV, XML, and JSON. The readers will also learn to create graph data models with Gephi and vector space models using Lucene and Weka. You will also explore data modeling with streaming data. The book also demonstrates how to use one of the best data modelers like ERWIN with practical examples to model Twitter and Weather Data points

Table of Contents

What You Will Learn

  • Understand the concept of big data and get introduced to various data models.
  • Explore different data models like conceptual, logical and Big Data models.
  • Learn to use data modelers like ERWIN and SQLDBM to model data.
  • Understand how to model data containing different file types.
  • Learn data modeling with examples of Twitter and weather data modeling.
  • Learn how to create data models like Graph Data and Vector Space models.
  • Model structured and unstructured data using Python and R.

Authors

Table of Contents

Book Details

ISBN 139781788620901
Paperback314 pages
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