Apache Ranger : Fine-Grained Access Control

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



Hive



,



HDFS



, 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



Solr



and



Mysql



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



Masking



and



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.