In this one-day course, you'll get to know the Databricks platform and learn how it accelerates collaboration between teams. After a short introduction to the Lakehouse concept, you will start loading, transforming and analyzing data. You'll learn how to work with notebooks, Delta Lake, and Databricks Workflows to automate tasks. We show how Databricks integrates seamlessly with existing cloud environments and how to use the platform for scalable data pipelines and analyses.

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(global program)

Part 1: Introduction to the Lakehouse (Concept, Architecture and Positioning of Databricks)

Part 2: Exploring the Platform (Clusters, Notebooks, and Workspace)

Part 3: Hands-on: Loading & Transforming Data (SQL and Python in Databricks)

Part 4: Working with Delta Lake (ACID transactions and data quality).

Part 5: Pipelines & Workflows (Planning and Automating Tasks).

Part 6: Best Practices & Q&A (Integration, Management and Next Steps).

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Data engineers, data scientists, data analysts and BI professionals who want to learn how Databricks simplifies and accelerates working with data.

Prior knowledge:

- Basic knowledge of SQL

- Basic knowledge of Data Warehousing

- Some Python experience is a plus but not required

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