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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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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

AsterixDB

AsterixDB was originally conceived at the University of California, Irvine. It is a full-fledged NoSQL DBMS that provides ACID guarantees. It is a scalable, open source BDMS.

With various storage and indexing support options, including managed datasets, external datasets, and secondary indexes, AsterixDB is very flexible and has a fast data-consumption rate.

It extends object-oriented data and JSON for easy processing of data of the semi-structured form. For easy processing, it can construct clusters for distributed processing, and can be extended to more than 1,000 cores and 500 discs.

Data models

AsterixDB has semi-structured NoSQL-style data models resulting from extending JSON with object database ideas. There...

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