Duration - 8 hours
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Level -
Last Updated Jun 2025
Target Audience
Suggested Certification
Hands on Labs
Course Code
Azure Databricks is a unified, open analytics platform designed to build, deploy, share, and maintain enterprise-grade data, analytics, and AI solutions at scale. This course provides a comprehensive exploration of data engineering and data warehousing with Azure Databricks, equipping you with the skills to process and manage large-scale data efficiently. You will learn the best practices for migrating workloads to Azure Databricks, ensuring seamless scalability, security, and performance in your cloud-based data infrastructure.
Azure Databricks: A Data Intelligence Platform
Key Differences: Azure Databricks vs. Databricks
Decision guide: Azure Databricks vs. Microsoft Fabric
Business and technical strategies
Actionable adoption plans
Prepare your cloud environment
Migrate and modernize existing workloads
Secure, govern and manage
End-to-End Streaming Pipeline with DLT in Azure Databricks
Migration strategies
Data landing zones
Migrate Data Warehouse to Azure Databricks Lakehouse
Convert Parquet data lake to Delta Lake
Migrate ETL pipelines to Azure Databricks
Adapt existing Apache Spark code to Azure Databricks
Lakehouse implementation: Principles and best practices
Azure Databricks well-architected framework
Migrate from Data Warehouse to Azure Databricks
