After these four days you can build data pipelines on Azure Databricks that are secure, traceable and maintainable. You choose suitable compute, organise and protect data in Unity Catalog, ingest data in batch and streaming mode and check its quality. You implement pipelines with Lakeflow, version them with Git, ship them with Databricks Asset Bundles and resolve Spark performance issues. The course is aimed at data engineers with SQL and Python experience and prepares you for the DP-750 exam.
What you’ll take away.
- Choose and configure suitable compute in an Azure Databricks workspace
- Create and secure catalogs, schemas and tables in Unity Catalog and make them traceable with lineage and audit logs
- Ingest data in batch and streaming mode, cleanse and transform it and check it with quality rules
- Build pipelines with notebooks, Lakeflow Spark Declarative Pipelines and Lakeflow Jobs and ship them with Databricks Asset Bundles
- Monitor workloads, fix Spark issues and optimise Delta tables
Your training in detail
- Who is it for?
- Data engineers who build and run data platforms on Azure Databricks, and anyone preparing for the DP-750 exam.
- Prerequisites
- You can ingest and transform data confidently with SQL and Python, work with Git and know the basics of Microsoft Entra, Azure Data Factory and Azure Monitor. Some experience with Azure Databricks helps.
- Format & planning
- Standard length: 4 training days. A different length can be arranged for companies.
Agenda: from understanding to application
Our independently developed agenda proposal. Focus areas, lab environment and scope are agreed before booking.
Setting up Azure Databricks: compute types, performance settings, libraries and permissions
Objects in Unity Catalog: catalogs, schemas, volumes, tables and views
Security and governance: privileges, row filters, column masks, lineage, auditing and Delta Sharing
Data modelling: load methods, table formats, partitioning, clustering and slowly changing dimensions
Ingestion with Lakeflow Connect, Auto Loader, Structured Streaming and CDC
Pipelines and jobs: Lakeflow Spark Declarative Pipelines, Lakeflow Jobs, Git and Databricks Asset Bundles
Operations: monitoring with Azure Monitor, Spark troubleshooting and Delta optimisation with OPTIMIZE and VACUUM
Across the four days you build a lakehouse pipeline for order data: from streaming ingestion through quality rules and a historised dimension to a scheduled job that is deployed as an asset bundle and monitored with Azure Monitor.
Exams, licences & credentials
The course prepares you for exam DP-750, which leads to the Microsoft Certified: Azure Databricks Data Engineer Associate certification. The exam and exam fee are only included if the offer confirms this. The certificate is issued by Microsoft. It is not an official Microsoft course unless the offer explicitly says so.
Vendor references & review date
Sources checked on 2026-11-10. These sources describe the technology or external exam requirements. They do not imply a partnership with NextNowa.
Your learning content
These objectives describe the training topic. The specific syllabus, dates and trainer are agreed before booking; the written offer is binding.
Frequently asked questions
Which topics carry the most weight in the DP-750 exam?
According to Microsoft's study guide, preparing and processing data and deploying and maintaining pipelines each account for 30 to 35 per cent. Environment setup and Unity Catalog governance each make up 15 to 20 per cent.
How does DP-750 differ from DP-700?
Both are aimed at data engineers. DP-700 relates to Microsoft Fabric, while DP-750 covers Azure Databricks with Unity Catalog and Lakeflow.
How long is the certification valid?
Microsoft associate certifications expire annually. You renew them free of charge by passing an online assessment on Microsoft Learn.
Does DP-750 Implementing Data Engineering Solutions Using Azure Databricks: data pipelines with Unity Catalog include a certificate?
The course prepares you for exam DP-750, which leads to the Microsoft Certified: Azure Databricks Data Engineer Associate certification. The exam and exam fee are only included if the offer confirms this. The certificate is issued by Microsoft. It is not an official Microsoft course unless the offer explicitly says so.