The DP-700 in-company training teaches your data engineers how to build data engineering solutions on Microsoft Fabric: ingesting, transforming, securing, managing and optimising data at enterprise scale. The official Microsoft course lasts 3 days and prepares for the Microsoft Certified: Fabric Data Engineer Associate certification. DP-700 focuses on the data engineering side of Fabric: pipelines, Spark, streaming and architecture.

Who is this training for?

Suitable for data engineers, big data specialists and cloud engineers who build data pipelines, lakehouses and data architectures on Microsoft Fabric. Required prior knowledge: experience with data engineering, SQL, Python or Spark, and knowledge of Azure data services or Azure Synapse. Minimum 4 and maximum 12 participants per group.

What will your employees be able to do after this training?

• Set up and configure data engineering environments in Microsoft Fabric
• Build batch data pipelines for data ingestion and transformation
• Implement streaming data pipelines with Eventstream and KQL
• Use Spark notebooks and Spark Job Definitions for large-scale data processing
• Design lakehouse architectures with Delta Lake and Parquet
• Implement data transformations with Dataflow Gen2
• Implement security and governance for data assets in Fabric
• Perform monitoring and performance optimisation for Fabric pipelines
• Implement CI/CD and version control for data engineering solutions

Course content

Day 1: Fabric Data Engineering Architecture and Batch Pipelines
Understanding Microsoft Fabric data engineering architecture. Configuring Fabric environment and Git integration. Creating and managing lakehouses with Delta Lake. Building batch data pipelines with Data Factory: copy activities, transformations and orchestration. Using Dataflow Gen2 for low-code data transformation.

Day 2: Spark and Streaming Data
Configuring Apache Spark in Fabric: environments, libraries and runtimes. Writing PySpark and Scala notebooks for large-scale data transformation. Implementing Spark Job Definitions for scheduled batch processing. Building streaming data pipelines with Eventstream for real-time data ingestion. Configuring KQL databases for real-time analysis of streaming data.

Day 3: Security, Monitoring and Deployment
Implementing security: workspace roles, object-level security and row-level security. Integrating Microsoft Purview for data catalogue and data protection. Implementing monitoring for pipelines, notebooks and Spark jobs. Optimising performance for Fabric data engineering workloads. Configuring deployment pipelines for DTAP. Preparation for the DP-700 certification exam.

Practical information

• Duration: 3 days (6 sessions of 3 hours)
• Location: at your location, in Almere, Zwolle, Groningen, Utrecht, Enschede, Den Bosch, Breda, Meppel or Eindhoven (surcharge applies for locations outside Almere)
• Group size: minimum 4, maximum 12 participants per group
• Course materials: available as an option
• Labs: available as an option
• Exam: on location at OEM in Almere or online via remote proctoring

What is included?

• Microsoft Gold certified trainer at your location
• Certificate of participation for each participant upon completion
• Free intake in advance
• Training evaluation upon completion

Course materials, labs and exam vouchers are available as an additional option.

SLIM subsidy

As a Dutch SME, you may be eligible for the SLIM subsidy for ICT training. The Dutch government reimburses 60% of your training costs, up to a maximum of €24,999. Period 2 opens 10 August 2026.

Related training courses

• DP-600: Microsoft Fabric Analytics Engineer - analytics deepening
• AZ-104: Microsoft Azure Administrator
• DP-900: Microsoft Azure Data Fundamentals - entry level

Request a quote via our quote form or contact us via our contact page. Or ask Sanne, our AI assistant - available 24/7 via the blue icon at the bottom right of the page.