The lakehouse platform has SQL and performance capabilities — indexing, caching and MPP processing — to make BI work rapidly on data lakes. It also provides direct file access and direct native support for Python, data science and AI frameworks without the need to force data through an SQL-based data warehouse. Find out how the lakehouse platform creates an opportunity for you to accelerate your data strategy.

In this session, we’ll cover:

The evolution of data management solutions
The emergence of lakehouse architecture to store all types of data
How the lakehouse enables all analytics workloads — BI, SQL analytics, data science and machine learning