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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

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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