Fast-Track Your Lakehouse Build with a Metadata Framework

In today’s data-driven world, fast and efficient data platform delivery is crucial for staying ahead of the competition. Join me for a dynamic session that demonstrates how to build a metadata-driven Lakehouse with Microsoft cloud native technologies. Using your preferred compute and storage resources, Azure Data Factory, Azure Databricks, Azure Synapse Analytics or Microsoft Fabric.

Discover how to simplify and overcome common obstacles such as fragmented data ingestion, change data capture, and orchestration scalability using proven best practices. Learn how to leverage automation, open-standards, and seamless cloud integration to accelerate time-to-insight with minimal technical debt. This session is perfect for techies and data leaders alike, seeking to streamline their cloud data platform delivery while maintaining cost control and operational resilience. In summary, unlock the potential to build a Lakehouse in a day by using an open-source metadata driven product accelerator.

• Demonstrate how to build a metadata-driven Lakehouse using Microsoft cloud native technologies. • Showcase strategies to overcome data challenges such as fragmented data ingestion, change data capture, and orchestration scalability. • Highlight the use of automation, open-standards, and seamless cloud integration to achieve fast, efficient data platform delivery with minimal technical debt.