Craig Porteous

Fabric is Microsoft's unified software as a service data platform, built around a Data Lakehouse architecture. In this session I'll share an array of data Lakehouse architecture patterns, and demonstrate how you can build a full Data Lakehouse platform without ever touching an Azure resource.

This session session aims to give you that context. We'll look at how spark-based engines work and how we can use them within Synapse Analytics. We'll dig into Delta, the underlying file format that enables the Lakehouse, and take a tour of how the Synapse compute engines interact with it. Finally, we'll draw out our whole Lakehouse architecture

In this session I'll guide you from through a secure reference architecture with Data Factory, Databricks, Data Lake, and Azure Synapse, working together as a secure, fully productionised platform. Each has their own idiosyncrasies, but this session will teach you the options available and the pitfalls to avoid.

In this session I'll cover what the Data Lakehouse architecture is, where it fits against existing architectures like a data warehouse, and why you should build one. We'll also cover the underlying technology options to arm you with all of the information you need to plan your next data platform.

Ben and Rob have found some wonderful folk to actually do the important parts of the community keynote. on the theme of How to be a nonpassive member of the data community