Replacing a Traditional Data Warehouse with Dremio for a Low Latency Lakehouse
In the dynamic world of energy trading, faster and better insights can provide a significant competitive advantage. In this session, we will discuss our data transformation journey, focusing on how we took the entire business through a 3 year transformation programme to empower analysts with quicker access to data, self-service insights, and analytics to enable simpler collaboration and data sharing across the firm.
We will touch on the challenges of our traditional relational warehouse and review how we shifted to a low-latency data lakehouse approach leveraging Dremio and Spark streaming to meet evolving business needs.
