What you'll learn

Managing and analyzing data effectively is a critical challenge for professionals in data-driven industries. Inconsistent data management can lead to delays, inaccurate insights, and missed opportunities for impactful decision-making.

In this course, Databricks Certified Data Analyst: Data Management, you’ll gain the ability to manage, explore, and secure data efficiently using Databricks and Delta Lake.

First, you’ll explore how to leverage Delta Lake for managing table metadata, ensuring data consistency, and maintaining history over time.

Next, you’ll discover the differences between managed and unmanaged tables, learn how to create and manage databases, tables, and views, and adopt best practices for organizing data within Databricks.

Finally, you’ll learn how to explore and secure data using Catalog Explorer, manage access rights, and identify key considerations for handling sensitive information like PII data.

When you’re finished with this course, you’ll have the skills and knowledge of data management in Databricks needed to streamline workflows, ensure data accuracy, and drive impactful decision-making—all while preparing to pursue the Databricks Certified Data Analyst Associate certification, boosting your credibility and expertise in the growing field of data analytics.