Microsoft DP-3011: Implement a Data Analytics Solution with Azure Databricks

This course is dedicated to data analysts who want to use the platform Azure Databricks for advanced data preparation and analysis. Participants will learn how to leverage the distributed capabilities of Apache Spark, manage data quality and versioning with Delta Lake, build automated pipelines using Delta Live Tables, and implement governance with Unity Catalog.

The course provides a practical approach to orchestrating workflows for production deployments and collaborative development through Python and SQL notebooks, enabling the delivery of prepared data at scale.

The course is recommended for:

• Data analysts working with large data sets
• Professionals who want to implement modern lakehouse solutions
• Teams that use Azure Databricks for data analysis and processing
• Users who want to collaborate through notebooks in Python or SQL

After completing the course, you will know how to:

• Explore and configure the platform Azure Databricks
• Perform exploratory data analysis (EDA) with Databricks Notebooks
• You use Apache Spark for data processing and transformation
• Manage data quality and consistency with Delta Lake
• Build data pipelines with Delta Live Tables
• Orchestrate and automate tasks with Azure Databricks Workflows

There are no prerequisites, but it is recommended that you:

• You have basic knowledge in data analysis
• You have experience with SQL and/or Python
• Understand the basic concepts of cloud computing