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Hands-On Big Data Modeling

Hands-On Big Data Modeling

By : Lee, Wei, Kumar Mukhiya
2.3 (4)
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Hands-On Big Data Modeling

Hands-On Big Data Modeling

2.3 (4)
By: Lee, Wei, 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)
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Modeling with Unstructured Data

In the earlier chapters, we discussed unstructured data and its sources, and looked at some examples. In this chapter, we are going to discuss what type of modeling can be done using unstructured datasets. Unstructured data refers to data that doesn't fit neatly into the traditional row-and-column structure of relational databases. There are unstructured datasets all around us. In fact, most of the data that we find on the web is unstructured. And performing data analysis and data modeling on these unstructured datasets is becoming a challenging yet very favorable research topic.

In this chapter, we will cover the following topics:

  • We will see real-life examples of unstructured data found in day-to-day business at the enterprise level, and how modeling can be applied to this data
  • Users will get to get their hands dirty using the R programming...
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