Build your open data lakehouse on Iceberg with Fivetran and Dremio

Presented by

Coral Trivedi, Senior Product Manager, Fivetran, Brett Roberts, Principal Alliances Solutions Architect, Dremio

About this talk

The data lakehouse is quickly emerging as the ideal data architecture because it combines the flexibility and scalability of data lakes with the data management, data governance, and data analytics capabilities of data warehouses. Table formats bring many of the “house” features to the data lakehouse. Apache Iceberg is a truly open table format that is built for easy management and high performance analytics on the largest data volumes in the world. In this video, we’ll discuss: - Why open table formats are fundamental to building a data lakehouse - How Fivetran automates data movement and helps organizations easily move data from various sources to their Amazon S3 data lake in Apache Iceberg tables. - How Dremio & Fivetran simplify your data lakehouse architecture while providing high performance and ease of use.
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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.