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Hadoop Blueprints

You're reading from   Hadoop Blueprints Use Hadoop to solve business problems by learning from a rich set of real-life case studies

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781783980307
Length 316 pages
Edition 1st Edition
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Authors (3):
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Sudheesh Narayan Sudheesh Narayan
Author Profile Icon Sudheesh Narayan
Sudheesh Narayan
Tanmay Deshpande Tanmay Deshpande
Author Profile Icon Tanmay Deshpande
Tanmay Deshpande
Anurag Shrivastava Anurag Shrivastava
Author Profile Icon Anurag Shrivastava
Anurag Shrivastava
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Table of Contents (9) Chapters Close

Preface 1. Hadoop and Big Data FREE CHAPTER 2. A 360-Degree View of the Customer 3. Building a Fraud Detection System 4. Marketing Campaign Planning 5. Churn Detection 6. Analyze Sensor Data Using Hadoop 7. Building a Data Lake 8. Future Directions

Apache Ranger


Apache Ranger is a security framework which lets you define the policies to control the data access in Hadoop. It provides a web-based console that can be used by the system administrators of the Hadoop cluster to define and activate the access policies. Apache Ranger understands how different tools interact with Hadoop and lets you define permissions accordingly. For example, for Hive data, you can define whether a user is allowed to create or drop a table or read a column using Apache Ranger.

Apache Ranger also maintains an audit log and analytics data, which is useful information for risk and compliance personnel to access from a web-based console.

These features of Apache Ranger make it an important technology to use while building a data lake.

The examples of Apache Ranger in this chapter use the version 0.5.0, which can be downloaded from the website of the Apache organization.

Installing Apache Ranger

Before the installation of Apache Ranger, you need to make sure that you...

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