Apache Ranger : Fine-Grained Access Control from Udemy

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.

What's inside

Learning objectives

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 atlas

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 atlas

Syllabus

Introduction

Apache Ranger

Components and Architecture

Install Apache Ranger 2.1.0

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers Ranger integration with Hadoop components like Hive and HDFS, which are essential for managing data access in Hadoop environments

Explores end-to-end Apache Ranger authorization policies, which are critical for securing sensitive data within big data ecosystems

Teaches installation of Apache Ranger 2.1.0, which may require familiarity with Solr and MySQL infrastructure

Includes Ranger Tag-sync from Apache Atlas, which is useful for organizations leveraging data governance and metadata management

Focuses on Ranger Hive and HDFS plugin installation, which requires access to a Hive cluster and familiarity with HDFS concepts

Uses Apache Ranger 2.1.0, which may not be the latest version and might lack some features found in newer releases

Reviews summary

Apache ranger fine-grained access control

Learners say this course provides a solid foundation in Apache Ranger for fine-grained access control within the Hadoop ecosystem. Many found the coverage of Hive and HDFS integration particularly practical and valuable. The course addresses the notoriously tricky installation process head-on, even providing a helpful script, though some note installation can still be a challenge. Students appreciated the clear explanations of Ranger concepts and the inclusion of advanced topics like Masking, Row Level Filters, and Tagsync integration with Apache Atlas. The practical demos demonstrating policy definition and validation were frequently highlighted as beneficial. Overall, it's seen as a useful resource for professionals needing to implement security policies using Ranger.

Explores advanced security features.

"The coverage of Masking and Row Level Filters policies was a significant plus I wasn't expecting."

"Understanding Tagsync integration with Apache Atlas provides insight into modern data governance patterns."

"These advanced topics add depth beyond basic access control."

Concepts explained clearly and logically.

"The instructor explains complex Apache Ranger concepts in a straightforward manner."

"Content is well-structured, making it easy to follow the flow from architecture to policy definition."

"Lectures are clear and to the point, making the material accessible."

Features practical demos and validation.

"The hands-on demos showing how to define and test policies were extremely useful."

"Seeing the policies applied and validated in a realistic environment helped solidify my understanding."

"The practical examples make the theory much easier to grasp and apply."

Addresses challenging installation steps.

"The included shell script for installation was a real help, especially for the prerequisites."

"Even with the provided script, getting Ranger set up required careful attention and troubleshooting."

"I appreciated that the instructor dedicated time to the installation challenges and offered a solution."

Detailed coverage of key integrations.

"The sections focusing on Hive and HDFS integration policies were the most practical and relevant for my job."

"Learning how to define and validate policies for different Hadoop components is the core strength here."

"The course gives a good overview of integrating Ranger with key parts of the big data ecosystem."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Apache Ranger : Fine-Grained Access Control with these activities:

Review Hadoop Fundamentals

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Reviewing Hadoop fundamentals will provide a solid foundation for understanding how Ranger integrates with the Hadoop ecosystem.

Browse courses on Hadoop

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Review the core components of Hadoop: HDFS, MapReduce, and YARN.
Understand the architecture of a Hadoop cluster.
Familiarize yourself with basic HDFS commands.

Brush up on SQL

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Refreshing your SQL knowledge will be helpful when working with Hive and Presto, as you'll be defining policies based on data access patterns.

Browse courses on SQL

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Review basic SQL syntax: SELECT, INSERT, UPDATE, DELETE.
Practice writing queries with WHERE clauses and JOINs.
Understand how to use aggregate functions like COUNT, SUM, AVG.

Read 'Hadoop: The Definitive Guide'

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Reading this book will provide a deeper understanding of the Hadoop ecosystem, which is essential for effectively using Apache Ranger.

View Hadoop: The Definitive Guide: Storage and... on Amazon

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Read the chapters on HDFS and YARN.
Focus on the sections related to data storage and processing.
Take notes on key concepts and terminology.

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Follow Ranger Hive Integration Tutorials

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Following tutorials on Ranger Hive integration will provide hands-on experience with configuring and using Ranger policies.

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Find online tutorials or documentation on Ranger Hive integration.
Follow the steps to install the Ranger Hive plugin.
Create and test Ranger policies for Hive tables.

Practice Defining Ranger Policies

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Practicing defining Ranger policies for different scenarios will help you master the concepts of masking and row-level filtering.

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Create sample Hive tables with sensitive data.
Define Ranger policies to mask certain columns for specific users.
Implement row-level filtering to restrict access to certain rows.
Test the policies to ensure they are working as expected.

Implement Tag-Based Authorization

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Implementing tag-based authorization using Ranger and Atlas will provide a practical understanding of how to secure data based on metadata.

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Install and configure Apache Atlas.
Create Hive entities in Atlas and tag them with relevant metadata.
Install and configure Ranger TagSync.
Define Ranger policies based on Atlas tags.
Test the policies to ensure they are working correctly.

Write a blog post on Ranger Use Cases

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Writing a blog post about real-world use cases for Apache Ranger will solidify your understanding of its capabilities and benefits.

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Research different use cases for Apache Ranger in various industries.
Choose a specific use case and write a detailed blog post about it.
Include examples of how Ranger policies can be used to address security challenges.

Career center

Learners who complete Apache Ranger : Fine-Grained Access Control will develop knowledge and skills that may be useful to these careers:

Data Security Engineer

A data security engineer is responsible for safeguarding an organization's data assets, and this course is directly relevant to this goal. This includes implementing and managing access control policies, a core skill developed through this course's exploration of Apache Ranger and its integration with Hadoop components. The course provides practical experience in defining and validating policies on Hive and HDFS, which are essential for implementing granular access control for sensitive data. One who wishes to become a data security engineer should take this course to learn how to implement such policies.

See salaries and explore the career path for Data Security Engineer

Hadoop Administrator

A Hadoop administrator manages and maintains Hadoop clusters, and this course on Apache Ranger is highly relevant. The course teaches how to install, configure, and manage Apache Ranger, along with integrations with Hive and HDFS, which are key components of Hadoop environments. These skills are very important for Hadoop administrators. A Hadoop administrator benefits greatly by learning how to secure these environments using Apache Ranger, including implementing masking and row-level filters, as covered in the course. This course provides a solid foundation for securing Hadoop deployments.

See salaries and explore the career path for Hadoop Administrator

Data Governance Analyst

A data governance analyst focuses on ensuring data is used ethically and securely, and this course may be useful for those in this role. This course introduces practical methods for implementing access control policies using Apache Ranger, which is essential to data governance. The course provides insight into defining and validating access policies with Hadoop components such as Hive and HDFS. A data governance analyst can benefit from this understanding of policy enforcement using a tool such as Apache Ranger.

See salaries and explore the career path for Data Governance Analyst

Cloud Security Specialist

A cloud security specialist focuses on implementing security measures in cloud environments, and this course may be useful as Hadoop technologies are often deployed on cloud infrastructure. This course explores how to use Apache Ranger for fine-grained access control, a critical aspect of cloud security. The course covers integration with key components like Hive and HDFS, which are often used in cloud based data pipelines. A cloud security specialist may find this course useful as it covers how to define and manage access policies in a cloud-like computing environment.

See salaries and explore the career path for Cloud Security Specialist

Data Architect

A data architect is responsible for designing data management systems, and this course may be useful. A data architect will be involved with the fine-grained access control that this course teaches through Apache Ranger. The course demonstrates how to implement policies for different uses and validate them. A data architect who understands these concepts will find that their career is boosted. Therefore, a data architect may benefit from this course.

See salaries and explore the career path for Data Architect

Database Administrator

A database administrator is responsible for the maintenance and security of databases; learning about Apache Ranger will help those in this role understand data security. The course explores how Apache Ranger integrates with Hive and Presto, which is essential information for a database administrator. The course teaches how to define policies for different types of access, including masking and row-level filters. A database administrator would benefit from this detailed look into access control using Apache Ranger.

See salaries and explore the career path for Database Administrator

Big Data Engineer

A big data engineer designs, builds, and maintains systems for processing large data sets, and this course may be useful. This course provides practical experience with Apache Ranger, which is often used within big data environments for enforcing access control policies. The course covers important integrations with big data tools such as Hive and HDFS. A big data engineer may find this course useful as it provides knowledge of a key technology for securing big data environments.

See salaries and explore the career path for Big Data Engineer

Information Security Analyst

An information security analyst focuses on protecting information systems from unauthorized access, and this course may be useful. The course involves the implementation of access controls using Apache Ranger. It provides a detailed look into defining policies, including masking and row-level filters within the Hadoop framework. An information security analyst may find this course useful to better understand how access controls can be configured in big data systems.

See salaries and explore the career path for Information Security Analyst

System Administrator

A system administrator manages computer systems and networks, and this course may be useful. This course teaches how to install, configure, and manage Apache Ranger, which is core to implementing data access controls. As the course also covers integration with Hive and HDFS, a system administrator with knowledge of Apache Ranger may find this useful for implementing policies in these technologies. A system administrator may benefit from this course.

See salaries and explore the career path for System Administrator

Data Analyst

A data analyst interprets data and uncovers trends. A data analyst is often granted access to data, and it is helpful for them to understand how to manage access. This course explores Apache Ranger, which is a technology used to manage access to data. Through this course, a data analyst can better understand how access controls are configured. A data analyst may find this course useful.

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Software Developer

A software developer writes code for software applications; this course may be useful for developers working with data systems. The course explores how to configure Apache Ranger, a tool used for data access controls. The course covers integrations with Hive and HDFS, which are often components within data applications a software developer may work on. A software developer may find this useful for learning about security policies in the context of data systems.

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Solutions Architect

A solutions architect designs and oversees the implementation of technical solutions; this course may be useful for designing data access solutions. The course covers how Apache Ranger is installed and configured, and also how it integrates with Hive and HDFS. A solutions architect benefits from this course to better understand the technical requirements for implementing access policies. A solutions architect may find this course useful.

See salaries and explore the career path for Solutions Architect

Technical Project Manager

A technical project manager oversees projects; this course may be useful to better understand projects that involve data access. This course explores Apache Ranger, which is a technology used in data access controls. The course covers the installation and configuration of Apache Ranger, as well as its integration with technologies like Hive and HDFS. A technical project manager may find this course useful in better understanding the technologies they oversee.

See salaries and explore the career path for Technical Project Manager

Business Intelligence Analyst

A business intelligence analyst interprets data, and may find it helpful to learn how data access is managed. This course will allow a business intelligence analyst to understand how tools such as Apache Ranger are used to manage access. This course will help a business intelligence analyst learn how policies are made and applied. A business intelligence analyst may find this course useful.

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Compliance Officer

A compliance officer ensures that an organization adheres to regulations; this course may be useful for understanding data access. This course provides an overview of how access controls can be implemented using Apache Ranger. The course covers defining policies for different users, which may be useful for compliance. A compliance officer that understands how access controls are implemented may find this course useful.

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Apache Ranger

Fine-Grained Access Control

What's inside

Learning objectives

Syllabus

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Reviews summary

Apache ranger fine-grained access control

Activities

Career center

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