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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

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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