Reimagining Analytics With an Open Lakehouse

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Presented by

Ben Hudson, Product Manager at Dremio

About this talk

Companies can choose between two high-level architectures: data warehouses and data lakehouses. In data warehouses, data is stored by the warehouse in proprietary formats that can only be read by that data warehouse. In contrast, a data lakehouse is an architecture in which the data is primarily stored in the customer’s own cloud object storage (S3, ADLS, etc.), in open formats, and then processed/queried by one or more engines. Join Dremio product manager Ben Hudson to discuss open data lakehouses, and the benefits that vendor-agnostic table formats that are governed and developed by a diverse set of companies can provide.

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Dremio is the easy and open data lakehouse platform, providing an intuitive UI that enables data teams to get started with analytics in minutes, as well as the flexibility to use Dremio’s lightning-fast SQL query service and any other data processing engine.