DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric - 40 Hours

Master the skills required to design, implement, and manage modern data engineering solutions using Microsoft Fabric with this comprehensive DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric training program. This course is designed for data engineers, cloud engineers, data professionals, BI developers, and IT professionals who want to build expertise in modern data platforms and advance their careers in data engineering.

The training combines Microsoft Fabric concepts with practical hands-on labs and real-world data engineering scenarios, enabling learners to build end-to-end data solutions using Fabric. Participants will learn how to ingest and transform data, implement data engineering solutions, work with Fabric Lakehouse and Data Warehouse, use Apache Spark, develop data pipelines, manage data integration, implement security and governance, and optimize data workloads.

Key topics include Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, Apache Spark, Spark notebooks, Data Factory pipelines, Dataflows Gen2, data ingestion and transformation, medallion architecture, data orchestration, security, governance, monitoring, and performance optimization. Aligned with the Microsoft DP-700 exam objectives, this course helps learners build the practical knowledge and confidence needed to implement enterprise-grade data engineering solutions using Microsoft Fabric and prepare successfully for the Microsoft Certified: Fabric Data Engineer Associate certification.

Total duration: 40 hours of instructor-led training and hands-on labs.

Training Format:

• Duration: 10 Days (40 Hours)
• Daily: 2 Hours Theory + 2 Hours Hands-on Lab
• Live Instructor-Led Training
• Microsoft Fabric Hands-on Workshops
• Real-World Data Engineering Projects
• End-to-End Data Pipeline Implementation
• DP-700 Exam Preparation & Mock Tests

Key Learning Areas:

• Microsoft Fabric Architecture & Core Concepts
• OneLake & Microsoft Fabric Data Storage
• Lakehouse Architecture & Medallion Design
• Data Ingestion & Integration
• Data Transformation & Dataflows Gen2
• Apache Spark & Fabric Notebooks
• PySpark for Data Engineering
• Data Pipelines & Orchestration
• Fabric Data Warehouse
• SQL-Based Data Engineering
• Data Loading & Transformation Strategies
• Data Quality & Data Validation
• Data Security, Governance & Access Control
• Monitoring & Troubleshooting Data Pipelines
• Performance Optimization
• End-to-End Microsoft Fabric Data Engineering Solutions

Who Should Attend?

• Data Engineers
• Azure Data Engineers
• Cloud Engineers
• Data Architects
• BI Developers
• Data Analysts
• Database Professionals
• IT Professionals moving into Data Engineering

🎯 Outcome: Gain practical skills to implement end-to-end data engineering solutions using Microsoft Fabric, build scalable data pipelines and Lakehouse architectures, transform and orchestrate data using Fabric tools, and confidently prepare for the Microsoft DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric certification exam through hands-on labs and real-world data engineering projects.