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Implement data engineering solutions using Azure Databricks (DP-750)

Build, secure, and optimize scalable data lakehouse solutions with Azure Databricks and Unity Catalog governance.

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4 days
805 (excl. VAT)
AI-Boosted

Description

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.

Audience Profile

The target audience is data engineers.

Certification

This course prepares you for the Associate exam DP-750 (Microsoft Certified: Azure Databricks Data Engineer Associate).

Learning Goals

CheckmarkExplain Azure Databricks architecture, workload types, and integration patterns across the Microsoft ecosystem
UnderstandLogo InfoSupport
CheckmarkDescribe Unity Catalog governance concepts, object hierarchy, and access control model
UnderstandLogo InfoSupport
CheckmarkImplement data modeling, ingestion, transformation, and data quality techniques in Unity Catalog
ApplyLogo InfoSupport
CheckmarkUse deployment, orchestration, monitoring, and troubleshooting practices for Databricks pipelines and workloads
ApplyLogo InfoSupport
For the above learning goals we use Bloom's Taxonomy

Prior Knowledge

Comfortable working with SQL and Python, including notebooks, for data engineering tasks Foundational understanding of data engineering and data warehouse concepts Basic understanding of Microsoft Azure Familiarity with git version control

Subjects

  1. Set up and configure an Azure Databricks environment
  2. Secure and govern Unity Catalog objects in Azure Databricks
  3. Prepare and process data with Azure Databricks
  4. Deploy and maintain data pipelines and workloads with Azure Databricks

1. Set up and configure an Azure Databricks environment

  • 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

2. Secure and govern Unity Catalog objects in Azure Databricks

  • Secure Unity Catalog objects
  • Govern Unity Catalog objects

3. Prepare and process data with Azure Databricks

  • 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

4. Deploy and maintain data pipelines and workloads 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

Schedule

All courses can also be conducted within your organization as customized or incompany training.

Our training advisors are happy to help you provide personal advice or find Incompany training within your organization.

Prior knowledge courses

Follow-up courses

Certification

The knowledge from this training aligns with these certifications.

"This training was immediately applicable to the project"
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