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. See all upcoming episodes: https://www.dremio.com/gnarly-data-wa... Connect with us! Twitter: https://bit.ly/30pcpE1 LinkedIn: https://bit.ly/2PoqsDq Facebook: https://bit.ly/2BV881V Community Forum: https://bit.ly/2ELXT0W Github: https://bit.ly/3go4dcM Blog: https://bit.ly/2DgyR9B Questions?: https://bit.ly/30oi8tX Website: https://bit.ly/2XmtEnN#datalakehouse #analytics #datawarehouse #datalake #opendatalakehouse #gnarlydatawaves #apacheiceberg #dremio #dremioartic #datamesh #metadata #modernization #datasharing #datagovernance #ETL #datasilos #datagrowth #selfservice #compliance #arctic #dataascode #branches #tags #fivetran #automates #datamovement #amazons3