01 Databricks Tutorial 2025 | Databricks for Data Engineering | Azure Databricks Training

Introduction to Data Bricks Series

Overview of the Series Agenda

• The series will cover various aspects of Data Bricks, starting with its architecture and design.

• Topics include setting up Data Bricks on Azure, understanding data lake houses, and exploring Unity Catalog.

• The series will also address offerings for data engineering such as notebooks, Delta Live Tables (DLT), jobs, workflows, and autoloaders.

Focus Areas for Different Personas

• For data analysts, the series will delve into SQL warehouses, queries, and dashboards.

• It will also explore CI/CD practices in Data Bricks along with Git integration and DevOps using the Data Bricks CLI and API.

Benefits of Serverless Offerings

• The benefits of serverless options provided by Data Bricks will be discussed towards the end of the series.

Learning Outcomes

• Participants can expect to gain sufficient knowledge to attempt a Data Engineering Associate certification after completing the series.

Prerequisites for Participation

• Basic knowledge of Apache Spark is essential; familiarity with Spark Streaming is also recommended.

• Understanding SQL and some Python knowledge are important prerequisites for this course.

Recommended Resources

• Viewers are encouraged to check out additional resources on YouTube related to Spark streaming and performance optimization.