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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
1. Introduction to Data 2. Comprehensive Concepts of a Data Lake 3. Lambda Architecture as a Pattern for Data Lake 4. Applied Lambda for Data Lake 5. Data Acquisition of Batch Data using Apache Sqoop 6. Data Acquisition of Stream Data using Apache Flume 7. Messaging Layer using Apache Kafka 8. Data Processing using Apache Flink 9. Data Store Using Apache Hadoop 10. Indexed Data Store using Elasticsearch 11. Data Lake Components Working Together 12. Data Lake Use Case Suggestions

Thoughts on data security


One of the very important capabilities required for a Data Lake implementation in an enterprise is security. In a Data Lake we are bringing in data from around the enterprise into one place. You have convinced all the departments who has agreed to ingest data into the Data Lake that the data in the lake is secured and only authenticated and authorized users have access to the data. So, this aspect needs some serious thought so that data is secured and these departments are quite happy with the access rules for their all important data. In addition to security setup, proper governance through adequate processes also should be setup to make security quite sturdy but quite easy for users having access to it to do their deep analysis work.

By data security, it refers to in-flight transaction data (stream), date at rest (batch), both authentication and authorization (attributes).

Data lake does pose a different risk as it is entrusted to bring data from various silos into...

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