Implement Data Engineering Solutions Using Azure Databricks (DP-750)

Duration: 4 days
Exam Voucher: Yes
Language: English
Level: Intermediate

Master end-to-end data engineering with Azure Databricks and Unity Catalog. In this course, learners move from foundational setup to production deployment, including environment configuration, data ingestion, data transformation, governance, security, and workload deployment.

Students learn how to build scalable data engineering solutions using Azure Databricks, Apache Spark, Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines, and Lakeflow Jobs. The course focuses on implementing, securing, and maintaining lakehouse solutions that support enterprise data engineering requirements.

This course helps prepare learners for the Microsoft Certified: Azure Databricks Data Engineer Associate certification.

Azure Databricks Training Delivery Methods

In-Person
Online
Upskill your whole team by bringing Private Team Training to your facility.

Azure Databricks Training Information

You Will Learn How To

• Use Azure Databricks for data engineering and analytics workloads
• Ingest, transform, and analyze data using Spark, Spark SQL, and PySpark
• Manage data with Delta Lake and Unity Catalog
• Design and implement data models for Azure Databricks
• Build and manage Lakeflow Declarative Pipelines
• Deploy and orchestrate workloads using Lakeflow Jobs
• Secure and govern data assets using Unity Catalog

Prerequisites
- Fundamental knowledge of data analytics concepts
- Experience with SQL
- Experience using Python for data engineering tasks
- Familiarity with notebooks
- Basic understanding of cloud storage and data organization
- Familiarity with Azure Databricks workspaces and Unity Catalog
- Foundational knowledge of Azure security, including Microsoft Entra ID
- Familiarity with Git version control fundamentals
Exam Information
- Microsoft Certified: Azure Databricks Data Engineer Associate

Azure Databricks Training Outline

Learning Objectives

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

Secure and Govern Unity Catalog Objects in Azure Databricks

Secure Unity Catalog objects
Govern Unity Catalog objects

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

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

Commercial Pricing

29 350 kr

4-day instructor-led training course
Microsoft Official Course content
Hands-on Training
One-on-one after-course instructor coaching included

Would you like to take this course as a team?

Include dates with afternoon start times

Guaranteed-to-Run - You can rest assured this class will not be canceled. Delivery format is subject to change – please call Customer Service if you have any questions.
okt. 13 - 16 15:00 - 22:30 CEST

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nov. 3 - 6 9:00 - 16:30 CET

Stockholm or AnyWare
nov. 3 - 6 10:00 - 17:30 CET

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dec. 1 - 4 15:00 - 22:30 CET

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dec. 15 - 18 9:00 - 16:30 CET

Stockholm or AnyWare
dec. 15 - 18 10:00 - 17:30 CET

London or AnyWare
jan. 12 - 15 15:00 - 22:30 CET

Ottawa or AnyWare
feb. 2 - 5 9:00 - 16:30 CET

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feb. 2 - 5 10:00 - 17:30 CET

London or AnyWare
mars 2 - 5 15:00 - 22:30 CET

Herndon, VA or AnyWare
mars 22 - 25 9:00 - 16:30 CET

Stockholm or AnyWare
mars 22 - 25 10:00 - 17:30 CET

London or AnyWare
apr. 13 - 16 15:00 - 22:30 CEST

Ottawa or AnyWare
apr. 27 - 30 9:00 - 16:30 CEST

Stockholm or AnyWare
apr. 27 - 30 10:00 - 17:30 CEST

London or AnyWare
juni 1 - 4 15:00 - 22:30 CEST

Herndon, VA or AnyWare
juni 21 - 24 9:00 - 16:30 CEST

Stockholm or AnyWare
juni 21 - 24 10:00 - 17:30 CEST

London or AnyWare
juli 13 - 16 15:00 - 22:30 CEST

Ottawa or AnyWare
aug. 31 - sep. 3 15:00 - 22:30 CEST

Herndon, VA or AnyWare

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Azure Databricks Training FAQs

This course is intended for data engineers who want to implement data engineering solutions using Azure Databricks, Unity Catalog, Spark, Delta Lake, and Lakeflow.

Yes. This course supports preparation for the Microsoft Certified: Azure Databricks Data Engineer Associate certification.

The course covers Azure Databricks, Apache Spark, Spark SQL, PySpark, Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines, and Lakeflow Jobs.

Students should have a good understanding of Azure Databricks workspaces and Unity Catalog concepts before attending.

Yes. The course includes Unity Catalog security and governance topics, including access control, permissions, credentials, lineage, audit logs, and secure data sharing.

Implement Data Engineering Solutions Using Azure Databricks (DP-750)

Azure Databricks Training Delivery Methods

Azure Databricks Training Information

Azure Databricks Training Outline

Learning Objectives

Live Instructor 29 350 kr

Azure Databricks Training FAQs

Who should attend this course?

Does this course prepare for a Microsoft certification?

What technologies are covered?

Is prior Azure Databricks experience required?

Does this course include governance and security?

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