Microsoft Fabric Data Engineer: DP-700 Exam Prep

Microsoft Fabric represents a fundamental shift in enterprise data architecture—unifying data engineering, data warehousing, real-time intelligence, and data integration into a single, cohesive SaaS ecosystem. As a Fabric Data Engineer, you should have subject matter expertise with data loading patterns, data architectures, and orchestration processes. This course is purpose-built to help you master those competencies through hands-on implementation and architectural decision-making. Navigate the full Microsoft Fabric landscape—OneLake, Lakehouse, Warehouse, Spark, Data Factory, Dataflows Gen2, Real-Time Intelligence, and Delta Lake. This course delivers a unified, high-performance data architecture built for both batch and streaming analytics. Start strong with scalable lakehouses and robust data ingestion. Scale smarter by orchestrating complex ETL pipelines, Spark transformations, and Medallion architectures powered by Delta Lake. Go deeper into specialized domains—mastering T-SQL in modern warehouses, designing real-time solutions with Eventhouse and KQL, and automating workflows with Activator. Then operationalize like a pro. Implement RLS/OLS security, integrate Purview governance, monitor performance metrics, and align with compliance—all within enterprise-grade standards. Cap it all off with a dedicated exam preparation hub—complete with strategic decision frameworks, practical scenario analysis, and full-length mock exams that simulate the real certification and boost your test-day confidence. By the end of this course, you will be equipped to: - Design and implement enterprise-scale data engineering solutions using Microsoft Fabric components, including Lakehouse, Data Warehouse, and Real-Time Intelligence. - Develop scalable data ingestion and transformation workflows using Pipelines, Dataflows Gen2, Apache Spark, and Delta Lake. - Process and analyze data using Spark, T-SQL, and KQL across batch and streaming architectures. - Implement Medallion