DP-700 Microsoft Fabric Data Engineer Training & Certification
Is your team looking to modernize data engineering for unified analytics? As organizations move from fragmented data tools to integrated platforms, Microsoft Fabric is the new standard for scalable, real-time analytics and data solutions. The DP-700 Microsoft Fabric Data Engineer course prepares you to design, build, and optimize enterprise analytics solutions using Microsoft Fabric.
You’ll learn to ingest and transform data, orchestrate advanced analytics solutions, and secure your environment using Microsoft Fabric tools like Dataflows Gen2, Apache Spark, Delta Lake, and real-time dashboards. You’ll also receive targeted guidance, practice labs, and tips to help you succeed on the Microsoft DP-700 exam and earn your Fabric Data Engineer Associate certification.
What Is Included
- Live, instructor-led DP-700 Microsoft Fabric training with real-world scenarios
- Official Microsoft courseware and interactive hands-on labs
- Certificate of completion
- 90 days of access to class recordings
- Flexible rescheduling options (see conditions)
- Add-on certification exam voucher available
By completing DP-700, you’ll develop advanced skills to design and implement data engineering solutions using Microsoft Fabric for large-scale analytics, reporting, and data integration.
- Ingest, transform, and orchestrate data with Dataflows Gen2 and Fabric Pipelines
- Build and manage Fabric lakehouses and data warehouses for analytics
- Leverage Apache Spark and Delta Lake for large-scale data processing
- Create real-time dashboards and real-time intelligence solutions
- Implement security, monitoring, and governance for Fabric environments
- Prepare for the Microsoft Certified: Fabric Data Engineer Associate exam
This audience for this course is data professionals with experience in data extraction, transformation, and loading. DP-700 is designed for professionals who need to create and deploy data engineering solutions using Microsoft Fabric for enterprise-scale data analytics. Learners should also have experience at manipulating and transforming data with one of the following programming languages: Structured Query Language (SQL), PySpark, or Kusto Query Language (KQL).
- Overview of Microsoft Fabric and its architecture.
- Roles of data teams and enabling Fabric.
- Ingest data with Dataflows Gen2.
- Build and manage pipelines (Copy Data, templates, monitoring).
- Integrate Dataflows Gen2 with pipelines.
- Real-time data analytics concepts and Fabric features.
- Eventstreams: sources, destinations, transformations.
- Eventhouse: KQL queries, materialized views, stored functions.
- Build real-time dashboards and apply best practices.
- Explore and transform data in Fabric lakehouses.
- Use Apache Spark (dataframes, SQL, notebooks, visualization).
- Manage Delta Lake tables (creation, optimization, streaming).
- Apply medallion architecture for structured data organization.
- Fundamentals of Fabric data warehouses.
- Load data with pipelines, T-SQL, and Dataflows Gen2.
- Query data with SQL and visual editors, client tools.
- Monitor and optimize performance.
- Apply data warehouse security (row-level, column-level, permissions).
- Implement CI/CD with version control, deployment pipelines, and APIs.
- Monitor activities using Fabric Monitor Hub and Activator.
- Secure data access with Fabric’s security model and granular permissions.
- Administer Fabric environments: architecture, security, and governance.