We may earn an affiliate commission when you visit our partners.

Data Governance with Databricks

Databricks is a cloud-based data engineering tool used to process and transform large amounts of data and explore the data through machine learning models. It combines data warehouses & data lakes into a lakehouse architecture.

Data governance is a broad approach that comprises the principles, practices, and tools to manage an organization’s data assets throughout its lifecycle. A data governance strategy allows organizations to make data easily available protecting their data from unauthorized access, and ensuring compliance with regulatory requirements.

This course provides 4 hours of training videos which are segmented into modules. The course concepts are easy to understand through lab demonstrations. In order to test the understanding of learners, every module includes Assessments in the form of Quizzes and In-Video Questions. A mandatory Graded Questions Quiz is also provided at the end of every module.

Candidate should have hands-on knowledge of the Databricks platform with the basic knowledge of AWS services. This course is tailored for professionals seeking to establish a strong foundation in data governance, fraud detection, and prevention strategies. By the end of this course, you will be able to:

-Understand the benefits and features of Databricks on AWS.

-Demonstrate Data Cleansing Pipelines in Databricks.

-Analyze Data Access Control Models and Data Privacy Regulations.

-Elaborate Data Lineage and Data Versions in Databricks Pipelines

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Two deals to help you save

Save money when you learn. Here are two deals and offers that may be relevant to this course.

All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until December 2

Annual Subscription

Invest in your career growth and save. Start your annual subscription to Coursera Plus and access 10,000+ programs.

Valid until March 12, 2027

Save 40% Off 3 Months

Access thousands of top-rated learning programs with a Coursera Plus monthly subscription and take 40% off 3 months for a limited time.

What's inside

Syllabus

Introduction to Data Governance with Databricks

Welcome to Week 1 of Data Governance with Databricks course. This week, you will learn about Introduction to Databricks on AWS. Additionally, you will learn about the benefits and features of Databricks and AWS Integration.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Suitable for professionals seeking a solid understanding in data governance, fraud detection, and prevention strategies

Assumes familiarity with Databricks platform and basic knowledge of AWS services

Emphasizes the benefits of using Databricks on AWS for data management and analytics

Provides hands-on lab demonstrations to reinforce learning

Incorporates assessments and graded quizzes to gauge understanding

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Reviews summary

Databricks data governance: practical & clear

According to students, this course provides a solid foundation in data governance with Databricks, particularly for working professionals. Learners frequently highlight the clarity of explanations for complex topics and the highly practical nature of the content. The hands-on labs and demonstrations are widely regarded as a major strength, effectively cementing understanding and providing direct applicability to real-world scenarios. While some earlier feedback indicated challenges with lab environments or assumed prerequisites, more recent reviews suggest a positive experience with hands-on activities, implying potential improvements.

Early lab setup issues appear to have been improved.

"I also noticed some of the lab environments were a bit tricky to set up, which caused frustration."

"The labs sometimes crashed or had issues, which made it hard to follow along. Needs better lab support."

"The hands-on labs were super helpful and truly cemented my understanding."

Content is highly relevant and applicable for professionals.

"As a data professional, this course filled a significant knowledge gap for me."

"The content is up-to-date and directly applicable to my work."

"The focus on compliance regulations was useful."

Complex concepts are explained with notable clarity.

"The instructor explains complex concepts with great clarity, especially the data cleansing pipelines."

"I found the explanation of data lineage and versioning very thorough."

"The explanations for RBAC and data security policies were clear."

Hands-on labs and demonstrations are highly effective.

"The hands-on labs were super helpful and truly cemented my understanding."

"The practical demonstrations were key to grasping the concepts."

"The hands-on exercises for data cleansing pipelines were particularly valuable."

May require more than basic Databricks/AWS knowledge.

"I found this course somewhat challenging due to the assumed prior knowledge of Databricks and AWS."

"While the description mentioned 'basic knowledge', I felt it required more."

"Good for a high-level overview, but not deep enough for experts."

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 Data Governance with Databricks with these activities:

Study Data Warehouses

Show steps

Refresh your understanding of data warehouses to strengthen your knowledge of the industry and how it relates to data governance.

Browse courses on Data Warehouses

Show steps

Review notes or tutorials on data warehouses
Take practice quizzes or tests on data warehouse concepts

AWS Fundamentals Review

Show steps

Review AWS fundamentals to refresh your knowledge and ensure you have a solid foundation for the course.

Browse courses on AWS

Show steps

Go through your AWS notes or online resources.
Take a practice quiz or mock exam to assess your understanding.

Data Governance Concepts and Principles Practice

Show steps

Practice answering multiple-choice questions to reinforce core data governance concepts and principles covered in the course.

Browse courses on Data Governance

Show steps

Review the provided data governance concepts material.
Take the practice quiz to test your understanding.
Refer to the course material to clarify any misunderstandings.

Nine other activities

Expand to see all activities and additional details

Show all 12 activities

Practice Data Cleansing Pipelines in Databricks

Show steps

Practice constructing data cleansing pipelines in Databricks to improve your data manipulation skills.

Browse courses on Data Wrangling

Show steps

Create a sample dataset with common data quality issues
Use Databricks to create a data cleansing pipeline to address the issues
Test the pipeline and evaluate its effectiveness

Databricks Query Optimization Techniques Practice

Show steps

Practice applying query optimization techniques in Databricks to improve performance and efficiency.

Browse courses on Databricks

Show steps

Review the course material on query optimization.
Solve practice problems or coding exercises to apply the techniques.
Compare your solutions with optimal approaches.

Data Lineage and Data Versioning in Databricks Pipelines Tutorial

Show steps

Follow an online tutorial to gain hands-on experience implementing data lineage and data versioning in Databricks pipelines.

Browse courses on Data Lineage

Show steps

Identify a suitable online tutorial on data lineage and data versioning in Databricks.
Set up the required environment and tools.
Follow the tutorial steps to implement data lineage and data versioning.
Test the implementation and troubleshoot any issues.

Data Governance Best Practices Workshop

Show steps

Attend a workshop designed to share best practices, case studies, and insights on data governance implementation for improved data management.

Browse courses on Data Management

Show steps

Identify and register for a data governance best practices workshop.
Attend the workshop and actively participate in discussions.
Network with industry professionals and learn from their experiences.
Apply the knowledge and insights gained to enhance your organization's data governance strategy.

Implementing Data Security Best Practices in Databricks Tutorial

Show steps

Follow a guided tutorial to learn and apply best practices for implementing data security in Databricks.

Browse courses on Data Security

Show steps

Identify a suitable online tutorial on data security best practices in Databricks.
Set up the required environment and tools.
Follow the tutorial steps to implement data security best practices.
Test the implementation and troubleshoot any issues.

Design a Data Governance Plan for a Fictional Organization

Show steps

Create a comprehensive data governance plan to demonstrate your understanding of data management principles and their application in real-world scenarios.

Browse courses on Data Strategy

Show steps

Define the scope and objectives of the data governance plan
Identify the key stakeholders and their roles and responsibilities
Develop data governance policies and procedures
Implement data governance tools and technologies
Monitor and evaluate the effectiveness of the data governance plan

Data Governance Policy Framework Creation

Show steps

Create a data governance policy framework to solidify your understanding of data governance principles and their application.

Browse courses on Data Management

Show steps

Research and gather information on data governance policy frameworks.
Draft a data governance policy framework tailored to your organization's needs.
Review and refine your framework with feedback from peers or mentors.
Present your framework to stakeholders for feedback and approval.

Contribute to the Apache Atlas Project

Show steps

Contribute to open-source data governance initiatives to gain practical experience and connect with the broader data community.

Show steps

Review the Apache Atlas documentation
Identify areas where you can contribute
Submit a pull request with your contributions
Engage with the Apache Atlas community

Contribute to Open-Source Data Governance Projects

Show steps

Engage with the open-source community by contributing to data governance projects to enhance your understanding and gain practical experience.

Show steps

Identify open-source data governance projects that align with your interests.
Join project communities and contribute in areas such as documentation, issue resolution, or feature development.
Collaborate with project maintainers and fellow contributors to learn from their expertise.
Share your insights and contribute to the growth of the data governance ecosystem.

Career center

Learners who complete Data Governance with Databricks will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Governance with Databricks.

Spark: The Definitive Guide

Save

Comprehensive guide to Apache Spark, providing deep technical insights and best practices for using the framework.

Data Governance with Databricks

Two deals to help you save

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Databricks data governance: practical & clear

Activities

Career center

Reading list

Share

Similar courses

Coursera Buyer Protection & Guarantee

7-Day Free Trial & Free Audit

14-Day Refund Guarantee

Verified Academic & Industry Partner