Here’s a breakdown of some excellent options for learning Azure Databricks:

Key Concepts to Understand

Before diving into courses, it’s useful to grasp the fundamentals of Azure Databricks:

• Apache Spark: The core distributed computing engine that Databricks is based upon.
• Databricks Workspace: The interactive web-based environment for working with data, code, and visualizations.
• Clusters: Groups of compute resources in Azure that execute your Spark jobs.
• Notebooks: Interactive coding environments that combine code, visualizations, and text.
• Delta Lake: An open-format storage layer providing reliability and performance to your data lakes.

Choosing Your Course

Consider the following when deciding:

• Your Experience Level: Are you new to data engineering or already experienced with Apache Spark?
• Learning Style: Do you prefer interactive courses, text-based tutorials, or instructor-led classes?
• Specific Interests: Do you want a general overview or to focus on data science, ETL, machine learning, etc.?
• Cost: Many free options are available, while others are paid.