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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 need for an enterprise search engine

Just like we all need a tool to search our own things, every company also needs a search engine to build so that internal and external entities can find what they want.

For example, an employee has to search for his/her PTO balance, paystub of a particular month, and so on. The HR department may search for employees who are in finance group or so. In an e-commerce company, a product catalog is the most searchable object. It is a very sensitive object because it directly impacts the revenue of the company. If a customer wants to buy a pair of shoes, the first thing he/she can do is search the company product catalog. If the search time is more than a few seconds, the customer may lose interest in the product. It may also be possible that the same customer goes to another website to buy a pair of shoes, resulting in a loss of revenue.

It...

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