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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
Languages
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

The data search concept

In our everyday life, we always keep on searching something. In the morning, we search for a toothbrush, newspaper, search stock prices, bus schedule, office bag, and so on. The list goes on and on. This search activity stops when we go to bed at the end of the day. We use a lot of tools and techniques to search these things to minimize the actual search time. We use Google to search most of the things such as news, stock prices, bus schedule, and anything and everything we need. To search a particular page of a book, we use the book's index. So, the point is that search is a very important activity of our life. There are two important concepts can be surfaced out of this, that is, search tool and search time. Just think of a situation where you want to know about a particular stock price of a company and it takes a few minutes to load that page. You...

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