Data Governance with Databricks is a meticulously designed course to help you understand and implement efficient data governance in your organization. The course begins by familiarizing you with the key principles of data governance and the role of Databricks in facilitating effective governance of data. This is followed by a deep dive into the core components of data governance such as frameworks, policies, roles, and regulatory considerations, as well as data quality and metadata management.
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The course is segmented into two distinct modules.
Module 1, "Data Governance and Databricks - Fundamentals", provides a comprehensive understanding of the importance of data governance and the integral role of Databricks in the process. By the end of this module, you will be well-equipped with a fundamental understanding of data governance and the features of Databricks that support governance initiatives.
Module 2, "Data Governance and Databricks - Application", focuses on practical applications of Databricks for data governance. You will learn how to manage data, implement governance workflows, manage metadata, and ensure security in Databricks. The module also explores best practices for data governance using Databricks and culminates with real-world examples and case studies highlighting successful data governance implementations.
This course is perfect for data professionals, data governance analysts, data stewards, IT managers, and anyone interested in improving their organization's data governance using Databricks. Prior knowledge of Databricks is not a prerequisite, making it suitable for beginners as well as experienced professionals seeking to enhance their skills.
By the end of this course, you'll understand the significance of data governance and the ways to leverage Databricks for it. You'll gain the ability to manage data, design governance workflows, and ensure security in Databricks, drawing from best practices and real-world examples.
What you'll learn
- Understand essential data governance components, exploring its significance in modern organizations and Databricks' instrumental role.
- Dive deep into governance foundations, from defining governance, frameworks, policies, and roles, to mastering data quality and metadata management.
- Grasp practical applications of Databricks, mastering data management, governance workflow design, data cataloging, and ensuring robust security.
- Embrace best practices, drawing insights from real-world case studies, ensuring effective, collaborative, and automated data governance.
Syllabus
Data Governance and Databricks - Fundamentals
This module serves as your initiation into the realm of data governance and Databricks. Starting from an overview of data governance and its importance, you will delve into its key components, frameworks, and policies. This module will also introduce you to Databricks and its role in facilitating data governance, setting the foundation for the next module's practical application.
Data Governance and Databricks - Application
Building on the fundamentals from the first module, Module 2 takes you on a journey of practical application of data governance using Databricks. You'll learn how to leverage Databricks for data management, implementing governance workflows, and managing data security. The module concludes with best practices for data governance with Databricks and a close look at real-world case studies. By the end of this module, you'll be able to apply your learned knowledge to actual scenarios.
