This course focuses on modern data architectures, including lakehouse environments, and demonstrates how to turn raw data into actionable insights that drive business decisions.
Throughout the course, learners will develop practical skills in advanced data transformation, organizing data across data warehouses and data lakes, and processing real-time data streams. By applying these techniques, participants will be able to build scalable data pipelines and deliver meaningful analytics outcomes. What sets this course apart is its blend of foundational concepts with hands-on applications, enabling learners to design semantic models and create interactive reports using modern tools like Fabric. This ensures a balance between theoretical understanding and real-world implementation. This course is ideal for data professionals, analysts, and IT practitioners looking to enhance their data engineering and analytics capabilities. A basic understanding of data concepts and analytics tools will be beneficial. This course is part two of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization
