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Data Lake for Enterprises

You're reading from   Data Lake for Enterprises Lambda Architecture for building enterprise data systems

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787281349
Length 596 pages
Edition 1st Edition
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Authors (3):
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Pankaj Misra Pankaj Misra
Author Profile Icon Pankaj Misra
Pankaj Misra
Tomcy John Tomcy John
Author Profile Icon Tomcy John
Tomcy John
Vivek Mishra Vivek Mishra
Author Profile Icon Vivek Mishra
Vivek Mishra
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction to Data FREE CHAPTER 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

Kafka security


When designed and developed at LinkedIn, security was kept out to a large extent. Security for Kafka was an afterthought after it became a main project at Apache. Later on in the year 2014, various security discussions were considered for Kafka, especially data at rest security and transport layer security.

Kafka broker allows clients to connect to multiple ports and each port supports a different security mechanism, as detailed here:

  • No wire encryption and authentication
  • SSL: wire encryption and authentication
  • SASL: Kerberos authentication
  • SSL + SASL: SSL is for wire encryption and SASL for authentication
  • Authorization similar to Unix permissions for read/write by a client

These security features are led by Confluent and more details can be found at http://docs.confluent.io/2.0.0/kafka/security.html.

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