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Modern Big Data Processing with Hadoop

You're reading from  Modern Big Data Processing with Hadoop

Product type Book
Published in Mar 2018
Publisher Packt
ISBN-13 9781787122765
Pages 394 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
V Naresh Kumar V Naresh Kumar
Profile icon V Naresh Kumar
Manoj R Patil Manoj R Patil
Profile icon Manoj R Patil
Prashant Shindgikar Prashant Shindgikar
Profile icon Prashant Shindgikar
View More author details

Table of Contents (12) Chapters

Preface 1. Enterprise Data Architecture Principles 2. Hadoop Life Cycle Management 3. Hadoop Design Consideration 4. Data Movement Techniques 5. Data Modeling in Hadoop 6. Designing Real-Time Streaming Data Pipelines 7. Large-Scale Data Processing Frameworks 8. Building Enterprise Search Platform 9. Designing Data Visualization Solutions 10. Developing Applications Using the Cloud 11. Production Hadoop Cluster Deployment

Developing Applications Using the Cloud

In the early days of computing, CPU power and storage were very scarce, and so the cost of purchasing relevant equipment was very high. With the advances in the development of personal computing in the early 80s by Apple and Microsoft, more and more individuals and organizations have gained access to these computing devices. As the industry has developed the way chips are made and billions if not trillions of transistors are now put on single chips, the size of these computing devices has drastically reduced, from taking up entire rooms to comprising a single unit of a rack in the data center. When the computation speed and storage device capacity started increasing, individuals and enterprises started to realize that efficiently managing their computing resources was becoming a challenge.

The widespread use of the internet has also made...

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