This course, aligned with Microsoft’s DP-700 certification, provides comprehensive training on implementing data engineering solutions using Microsoft Fabric. Participants will learn to design data architectures, develop efficient data loading patterns, and orchestrate data processes. The course focuses on key areas such as data ingestion, transformation, storage, security, and monitoring, using technologies including Apache Spark, Delta Lake, Dataflows Gen2, and Fabric pipelines.
Learners will gain practical skills in real-time data processing, medallion architecture design, and querying data warehouses, along with expertise in eventstreams, KQL, and CI/CD implementation. Additionally, the course covers essential aspects of data governance, security (including row-level and column-level security), and workspace administration in Fabric environments.
Designed for experienced data professionals skilled in data extraction, transformation, and loading (ETL), the course is particularly beneficial for those familiar with SQL, PySpark, or Kusto Query Language (KQL) and cloud-based solutions like Azure. Recommended prerequisites include knowledge of relational databases, ETL workflows, data lakes, and access control mechanisms. By the end, participants will be equipped to create, deploy, and manage enterprise-scale data analytics solutions within Microsoft Fabric for real-world applications.
