DP-700T00-A: Implement data engineering solutions using Microsoft Fabric
DP-700T00-A: Implement Data Engineering Solutions Using Microsoft Fabric is a comprehensive, hands-on training programme designed for data professionals who want to build, manage, and optimise modern data engineering solutions using Microsoft Fabric.
This course provides in-depth knowledge of designing end-to-end data architectures that unify data ingestion, transformation, storage, and analytics within a single, scalable platform. Participants will learn how to work with OneLake, Data Factory, Lakehouse, Data Warehouse, and real-time analytics capabilities in Microsoft Fabric to support enterprise-level data workloads.
By combining practical labs with real-world scenarios, this course prepares learners to implement secure, high-performance data pipelines and deliver reliable data solutions that support business intelligence, analytics, and AI initiatives.
Course Objectives & Learning Outcomes:
- Understand the architecture and core components of Microsoft Fabric
- Design and implement scalable data engineering solutions using Fabric
- Ingest, transform, and orchestrate data using Fabric Data Factory
- Build and manage Lakehouse and Data Warehouse solutions
- Work with OneLake for unified and governed data storage
- Optimise data pipelines for performance, reliability, and cost efficiency
- Implement data security, governance, and access control in Fabric
- Monitor, troubleshoot, and maintain data engineering workflows
- Support analytics, reporting, and AI workloads with well-engineered data solutions
Prerequisites:
Who Should Attend
Schedule Dates
Course Content
- Ingest Data with Dataflows Gen2 in Microsoft Fabric
- Orchestrate processes and data movement with Microsoft Fabric
- Use Apache Spark in Microsoft Fabric
- Get started with Real-Time Intelligence in Microsoft Fabric
- Use real-time eventstreams in Microsoft Fabric
- Work with real-time data in a Microsoft Fabric eventhouse
FAQs
Microsoft Fabric is an all-in-one analytics platform that unifies data engineering, data integration, data warehousing, and analytics. It simplifies data architecture by providing a single environment for managing end-to-end data workflows.
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