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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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Syed Muhammad Fahad Akhtar Syed Muhammad Fahad Akhtar
Author Profile Icon Syed Muhammad Fahad Akhtar
Syed Muhammad Fahad Akhtar
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Toc

Table of Contents (21) Chapters Close

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 20. Other Books You May Enjoy

Summary

In this chapter, we looked at various aspects of Apache Hadoop. We discussed the main components of Hadoop, such as the Hadoop Distributed File System, the MapReduce framework, and YARN. In between, we did some practical work by executing basic command related to HDFS. We also developed a program to calculate a bill summary using the MapReduce framework with easy-to-understand code.

Then, we discussed other projects under the umbrella of the Apache Foundation. These projects included Apache Zookeeper, Apache Kafka, Apache Flume, Apache Cassandra, Apache HBase, and Apache Spark. These projects are related to Hadoop Ecosystem. Some of them are related to bringing data into Hadoop, while others are related to the processing of data. The important thing we learned here is that though projects may appear similar, their uses and architecture differs...

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