Every organization wants to leverage cloud and data to drive strategic initiatives with business intelligence, advanced analytics, and AI/ML. However, it runs into challenges from siloed teams, proprietary technologies, and unreliable data.

The data lakehouse paradigm offers a single platform to unify disparate data, analytics, and AI workloads.

In this webinar, Microsoft and Motifworks team explored how the Azure cloud overcomes the legacy challenges and enables a unified data platform using the Lakehouse paradigm.

Key points discussed in the webinar:

Challenges with Legacy Data Warehouse and BI environments

Benefits and challenges of Data Lakes

Core characteristics of the lakehouse architecture

How Delta Lake combines the best of data warehouses and data lakes for improved data reliability, performance, and security