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Apache Ranger : Fine-Grained Access Control

Apache Ranger : Fine-Grained Access Control

Integrate Apache Ranger with Hive, HDFS, Presto, Tagsync from Apache Atlas etc

What you’ll learn

Apache Ranger : Fine-Grained Access Control

  • Apache Ranger Components & Architecture

  • Complete Ranger Hive Integration with real usecases

  • Understanding end-to-end Ranger Hive, HDFS, Presto Plugin

  • Ranger Tag-sync from Apache Atla


  • Familiar with Hive, HDFS, Presto, Apache Atlas

  • Good to have AWS EMR hands-on


What do you Learn From this Course ?

In this course, we study end-to-end

Apache Ranger

authorisation policies and integration with Hadoop components like




, Apache Atlas, Presto etc.

First we learn Ranger Components and Architecture.

Next, we install

Apache Ranger 2.1.0

which is the latest stable version. Ranger installation looks pretty straightforward.

However, ranger requires




infrastructure. Ranger supports Mysql version 5.6 or 5.7. It won’t support beyond these versions. These constraints complicates ranger installation. I spent many days while installing ranger. I consolidated all the steps into a single shell script. Users can download it and run it as it is without any issues. After that, we navigate to apache ranger user interface and explore salient features.

In the 3rd section, we achieve

Ranger Hive

integration. At first, we acquire hive cluster and install ranger hive plugin.

We load sample data into hive. We define policies on apache ranger for different users and validate the policies by querying on hive. We also examine



Row Level Filters


In the 4th section, we dig deeper into

Ranger HDFS

integration. At first, we acquire hive cluster and install HDFS ranger plugin.

We dig deeper into the hive

Managed Tables

and load sample data into HDFS.

Lastly, we define HDFS policies and verify it by querying on hive tables.

Who this course is for:

  • Data Engineers
  • Data Scientists
  • Last updated 9/2021

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