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IA & Data
Databricks — Data Engineering and Analytics on the Lakehouse
3 jour(s) • 21h
Description
Enable participants to master the Databricks platform for designing, developing, and operating data pipelines within a Lakehouse architecture.
Learning Objectives
- Understand the Databricks architecture and its key components
- Manipulate Delta Lake to ensure data reliability
- Develop transformations using Spark SQL and DataFrame API
- Orchestrate pipelines with Databricks Workflows
- Implement data governance with Unity Catalog
- Integrate Databricks with data tools (dbt, Airflow, Power BI)
- Build a complete end-to-end data pipeline
Target Audience
Data Engineers
Data Analysts
Data Scientists
Data Consultants
Prerequisites
Basic knowledge of SQL
Understanding of data processing (ETL/pipelines)
Basics in Python or Scala are appreciated
General understanding of data architectures
Program Outline
Informations
Duration
3 jour(s)
21h
Tarif
Sur demande