Matthias Nohl

Most enterprises are not starting from a greenfield data platform. SAP already runs critical business processes, Databricks is established for engineering, Spark and AI workloads, and Snowflake often acts as the analytical warehouse.

In this session, we follow an end-to-end journey from development to decision-making. We start with transactional and near-real-time workloads in SQL Database in Fabric, show how those datasets flow into Fabric Data Warehouse for governed analytics, and then connect both worlds to AI-ready experiences – including intelligent planning and forecasting scenarios enabled by the new Planning...

In the ever-evolving landscape of data architecture, understanding the synergistic relationship between Snowflake and Microsoft Fabric has become crucial. While the Better Together story of Databricks and Microsoft Fabric using Delta as their storage format is well-known, a new narrative emerges with Fabric's support for Iceberg Tables, opening up new possibilities for Snowflake integration.

Ever wondered how the Gold, Silver, and Bronze architecture of a Lakehouse truly fits into organizations of different skills and sizes? Just like in "The Wizard of Oz," where Dorothy discovers the real wizard behind the curtain, this session uncovers the reality of Lakehouse structures across various company sizes.

This session will cover the essential elements needed for a successful Fabric Proof of Concept (PoC) in the Azure data ecosystem. Focused on both technical and non-technical aspects, we will discuss five key factors that can influence the outcome of your PoC.

Erinnerst Du Dich an die Data Quality Services (DQS) vom SQL Server mit ihrer nicht ganz perfekten Benutzeroberfläche und ihren Diensten? Nun, sie erleben ein Revival in Microsoft Purview und wir führen Dich in dieser Session durch alle Details.