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Hands-On Big Data Modeling

You're reading from   Hands-On Big Data Modeling Effective database design techniques for data architects and business intelligence professionals

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788620901
Length 306 pages
Edition 1st Edition
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Concepts
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Authors (3):
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James Lee James Lee
Author Profile Icon James Lee
James Lee
Tao Wei Tao Wei
Author Profile Icon Tao Wei
Tao Wei
Suresh Kumar Mukhiya Suresh Kumar Mukhiya
Author Profile Icon Suresh Kumar Mukhiya
Suresh Kumar Mukhiya
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Toc

Table of Contents (17) Chapters Close

Preface 1. Introduction to Big Data and Data Management 2. Data Modeling and Management Platforms FREE CHAPTER 3. Defining Data Models 4. Categorizing Data Models 5. Structures of Data Models 6. Modeling Structured Data 7. Modeling with Unstructured Data 8. Modeling with Streaming Data 9. Streaming Sensor Data 10. Concept and Approaches of Big-Data Management 11. DBMS to BDMS 12. Modeling Bitcoin Data Points with Python 13. Modeling Twitter Feeds Using Python 14. Modeling Weather Data Points with Python 15. Modeling IMDb Data Points with Python 16. Other Books You May Enjoy

Summary

Big data is ubiquitous; it can be found everywhere, from small businesses to enterprise applications. It is of vital importance that this data is captured, stored, retrieved, and analyzed in the best possible way in order to get a deeper analysis and business intelligence. In this chapter, we learned about the concept of big data and where it originates from. We also discussed the different characteristics of big data and the theoretical foundation of data modeling and data management.

In addition to this, readers got a chance to install a big data platform on their local machine for both macOS and Windows machines. We will be using these machines in upcoming chapters to create database models. In the next chapter, we will be discussing data-modeling and data-management platforms.

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