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Big Data Architect???s Handbook

You're reading from   Big Data Architect???s Handbook A guide to building proficiency in tools and systems used by leading big data experts

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788835824
Length 486 pages
Edition 1st Edition
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Author (1):
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 Akhtar Akhtar
Author Profile Icon Akhtar
Akhtar
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Table of Contents (26) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Why Big Data? FREE CHAPTER 2. Big Data Environment Setup 3. Hadoop Ecosystem 4. NoSQL Database 5. Off-the-Shelf Commercial Tools 6. Containerization 7. Network Infrastructure 8. Cloud Infrastructure 9. Security and Monitoring 10. Frontend Architecture 11. Backend Architecture 12. Machine Learning 13. Artificial Intelligence 14. Elasticsearch 15. Structured Data 16. Unstructured Data 17. Data Visualization 18. Financial Trading System 19. Retail Recommendation System 1. Other Books You May Enjoy Index

Chapter 3. Hadoop Ecosystem

We should now have an understanding of what big data is and how it will impact industries in their decision-making. We have also created and configured our own big data virtual environment so that we can move forward in practical terms and build our own applications. These applications will get more and more mature as we proceed further in this book.

In this chapter, we will look at the Apache Hadoop Project in detail, touching on why it was developed and what the advantages and disadvantages of using Hadoop are. We will also go through the different components and modules of the Hadoop system and will also get our hands dirty with some practical activities. The main topics that we are going to cover in this chapter are as follows:

  • Apache Hadoop
  • HDFS
  • MapReduce Framework
  • YARN

We will then take a look at other Apache Projects that are directly or indirectly related to the world of big data world that fit into the Hadoop Ecosystem. Some of the projects that we will discuss...

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