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Data Lake for Enterprises

You're reading from  Data Lake for Enterprises

Product type Book
Published in May 2017
Publisher Packt
ISBN-13 9781787281349
Pages 596 pages
Edition 1st Edition
Languages
Authors (3):
Vivek Mishra Vivek Mishra
Profile icon Vivek Mishra
Tomcy John Tomcy John
Profile icon Tomcy John
Pankaj Misra Pankaj Misra
Profile icon Pankaj Misra
View More author details

Table of Contents (23) Chapters

Title Page
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Part 1 - Overview
Part 2 - Technical Building blocks of Data Lake
Part 3 - Bringing It All Together
Introduction to Data Comprehensive Concepts of a Data Lake Lambda Architecture as a Pattern for Data Lake Applied Lambda for Data Lake Data Acquisition of Batch Data using Apache Sqoop Data Acquisition of Stream Data using Apache Flume Messaging Layer using Apache Kafka Data Processing using Apache Flink Data Store Using Apache Hadoop Indexed Data Store using Elasticsearch Data Lake Components Working Together Data Lake Use Case Suggestions

Working examples of Lambda Architecture


Here are some of the working examples where Lambda Architecture has been used as a way by which certain use cases have been handled:

  • Multiple use cases on Twitter: One of the use cases where modified lambda is used in the area of sentiment analysis of tweets.
  • Multiple use cases in Groupon.
  • Answers by Crashlytics: Deals with mobile analytics, use Lambda Architecture layers of batch and speed effectively to produce meaningful analytics.
  • Stack Overflow: A well-known question-answer forum with a huge user community and plenty of activity. For a logged-in user, recommended questions make a new section, where the Lambda Architecture is used. There are other analytics too, such as voting, which uses batch views.
  • Flickr Magic View: Revised Lambda Architecture to create a magic view by combining bulk and real-time compute (courtesy: code.flickr.com).
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