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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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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

Modeling with Streaming Data

Data models deal with many different types of data formats. Students often make assumptions that the format of the data is the same as the logical model of the data in the way that we operate on it. In this chapter, the user will get a chance to explore the difference between the data model and the data format. The concept of data streaming, why streaming data is different, and the importance and implications of streaming data will also be part of the discussion in this chapter. In this chapter, we will cover the following topics:

  • Explore different types of data models and data formats with their differences
  • Summarize the key characteristics of a data stream
  • Identify the requirements of data streaming systems
  • Understand data streaming and its importance and implications
  • Explore real-life examples of data streaming
...
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