Accelerate Time to Insight with an Open Lakehouse Architecture

Presented by

Jeremiah Morrow, Partner Marketing

About this talk

Data teams are challenged with an explosion of data, and increased demand for analytic insights from a wide range of data consumers. Cloud data lakes represent the first destination for the newest and fastest-growing sources of customer and operational data, but making that data accessible for Business Intelligence and reporting workloads typically requires building and maintaining complex, manual, and ad hoc ETL processes and proliferating data copies. In this session, learn how an open lakehouse architecture simplifies and streamlines access to the data lake, and enables self-service analytics for technical and non-technical data consumers.
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Dremio is the easy and open data lakehouse, providing self-service analytics with data warehouse functionality and data lake flexibility across all of your data. Dremio increases agility with a revolutionary data-as-code approach that enables Git-like data experimentation, version control, and governance.