This course, taught by industry expert Mike Ferguson, explores how modern data architectures enable integrated analytics, data engineering, and AI at scale. It covers architectural approaches such as Lakehouse, Data Mesh, and Data Fabric, and provides practical guidance on designing, implementing, and evolving a future-ready data platform.

Cloud-native data architectures are rapidly becoming the standard, but for many organizations, legacy data warehouses remain the bottleneck. Traditional migration approaches are often slow, brittle, and manually intensive - particularly when porting complex ETL jobs and schema logic. This is where Data Warehouse Automation (DWA) becomes a game-changer. If you're a data engineer tasked with modernizing infrastructure, here’s what you need to know about automating your DW migration.

At first glance, Business Intelligence (BI) and Process Mining may look similar. Both are used to analyze data within business management. Both rely on visualizations to simplify data analysis. And yet, despite their similarities, they approach the challenge from very different angles.