DP-750T00
DP-750T00: Implement data engineering solutions using Azure Databricks
Price:
Duration:
Please Call
4 Days
Prerequisites
Learners are expected to have a good understanding of Azure Databricks workspaces and Unity Catalog, along with familiarity with data access patterns and core data engineering and
data warehouse concepts. In addition, they should have foundational knowledge of Azure security, including Microsoft Entra ID, and be familiar with Git version control fundamentals.
What you’ll learn in this course
Master end-to-end data engineering with Azure Databricks and Unity Catalog. This course moves from foundational setup to production deployment, covering environment configuration and enterprise-grade governance. Learn to build robust ingestion pipelines,
implement security with Unity Catalog, and deploy optimized workloads. By the end, you will have the practical skills to implement, secure, and maintain scalable lakehouse solutions that meet rigorous enterprise requirements.
Course Outline
• Explore Azure Databricks
• Understand Azure Databricks architecture
• Understand Azure Databricks Integrations
• Select and Configure Compute in Azure Databricks
• Create and organize objects in Unity Catalog
• Secure Unity Catalog objects
• Govern Unity Catalog objects
• Design and implement data modeling with Azure Databricks
• Ingest data into Unity Catalog
• Cleanse, transform, and load data into Unity Catalog
• Implement and manage data quality constraints with Azure Databricks
• Design and implement data pipelines with Azure Databricks
• Implement Lakeflow Jobs with Azure Databricks
• Implement development lifecycle processes in Azure Databricks
• Monitor, troubleshoot and optimize workloads in Azure Databricks
Further information
If you would like to know more about this course please contact us
