Microsoft Certified Fabric Data Engineer Associate Training Course
The Microsoft Fabric Data Engineer Associate (DP-700) Training at Educad Academy is a hands-on, certification-focused program designed to prepare learners for real-world data engineering roles. This course covers the complete data engineering lifecycle using Microsoft Fabric, including data ingestion, transformation, storage, analytics, and governance.
The training is fully aligned with the Microsoft DP-700 certification exam and focuses on practical implementation using OneLake, Lakehouse, Data Factory, Fabric Data Warehouse, and Real-Time Analytics. Participants gain experience building scalable data pipelines, optimizing performance, and managing secure data solutions in a cloud environment.
By completing this course, learners develop in-demand Microsoft Fabric Data Engineer skills and are well prepared to pass the DP-700 exam and work confidently on enterprise-level data engineering projects.
Course Content: Fabric Data Engineer Associate DP 700
Module 1: Introduction to Microsoft Fabric
- Overview of Microsoft Fabric ecosystem
- Fabric architecture and core components
- Data Engineer role and responsibilities
- Understanding OneLake concept
- DP-700 exam overview and learning path
Module 2: Working with OneLake and Lakehouse
- Introduction to OneLake
- Creating and managing Lakehouse
- Delta Lake fundamentals
- Organizing data using folders and tables
- Best practices for data storage
Module 3: Data Ingestion with Fabric Data Factory
- Overview of Data Factory in Fabric
- Copy data from multiple sources
- Working with pipelines and dataflows Gen2
- Scheduling and monitoring pipelines
- Handling data ingestion errors
Module 4: Data Transformation and Processing
- Data transformation using Dataflows Gen2
- Working with Power Query in Fabric
- Data cleansing and shaping techniques
- Applying business rules
- Performance optimization
Module 5: Working with Fabric Data Warehouse
- Introduction to Fabric Data Warehouse
- Designing warehouse schemas
- Loading data into warehouse
- Querying using T-SQL
- Managing and optimizing warehouse performance
Module 6: Real-Time Analytics in Microsoft Fabric
- Introduction to Real-Time Analytics
- Event streams and streaming data
- KQL basics
- Querying and analyzing real-time data
- Use cases for real-time analytics
Module 7: Data Security, Governance, and Monitoring
- Data security concepts in Fabric
- Access control and permissions
- Data lineage and impact analysis
- Monitoring workloads and performance
- Cost management best practices
Module 8: Integrating with Power BI
- Connecting Fabric data to Power BI
- Semantic models and datasets
- Optimizing data models for reporting
- Building end-to-end analytics solutions
Module 9: End-to-End Project
- Designing a complete data engineering solution
- Data ingestion, transformation, and storage
- Warehouse and analytics implementation
- Performance tuning and optimization
- Final project presentation
Learning Outcomes:
After completing this course, participants will be able to:
- Design and implement data solutions using Microsoft Fabric
- Ingest, transform, and store data efficiently
- Build Lakehouse and Data Warehouse solutions
- Implement real-time analytics
- Prepare confidently for the DP-700 certification exam
Prerequisites:
- Basic understanding of data concepts
- Familiarity with SQL and Power BI (recommended, not mandatory)
- Basic knowledge of cloud computing
Target Audience:
- Aspiring Data Engineers
- BI Developers and Data Analysts transitioning to Data Engineering
- SQL, Power BI, or Azure professionals
- Final-year IT students and fresh graduates
International Student Fee: 450 USD
Flexible Class Options
- Corporate Group Training | Fast-Track
- Weekend Classes For Professionals SAT | SUN
- Online Classes-Live Virtual Class(L.V.C) Online Training
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