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Modern Big Data Processing with Hadoop

You're reading from   Modern Big Data Processing with Hadoop Expert techniques for architecting end-to-end big data solutions to get valuable insights

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781787122765
Length 394 pages
Edition 1st Edition
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Concepts
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Authors (3):
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Manoj R Patil Manoj R Patil
Author Profile Icon Manoj R Patil
Manoj R Patil
Prashant Shindgikar Prashant Shindgikar
Author Profile Icon Prashant Shindgikar
Prashant Shindgikar
V Naresh Kumar V Naresh Kumar
Author Profile Icon V Naresh Kumar
V Naresh Kumar
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Toc

Table of Contents (12) Chapters Close

Preface 1. Enterprise Data Architecture Principles FREE CHAPTER 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

What is the Cloud?

Cloud computing, or simply the Cloud, is a simple way to rent and use resources such as electronic storage space, computing power, network bandwidth, IP addresses, databases, web servers, and so on, on the internet. The Cloud has promoted the pay per use paradigm, where customers are only billed for the use of these resources, in the same way that a power grid bills its customers for their power consumption.

Cloud computing has transformed the way individuals and organizations access and manage their servers and applications on the internet. Before Cloud computing, everyone used to manage their servers and applications on their own premises or in dedicated data centers. The increase in the raw computing power of computing (CPU and GPU) of multiple-cores on a single chip and the increase in the storage space (HDD and SSD) present challenges in efficiently utilizing...

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