While cloud data lakes address the need to efficiently store large volumes of structured, semi-structured, and unstructured data, they have traditionally lacked the data management and data governance capabilities that have tied enterprise data teams to data warehouse architectures. In this video, learn how Dremio Arctic, a lakehouse management service, delivers automatic data optimization features that simplify data management and enable high-performance analytics directly on data in the data lake. We'll cover: - The open data lakehouse architecture, and the importance of a lakehouse management service like Dremio Arctic. - Dremio Arctic's data optimization capabilities. - How these features ensure high performance analytics and optimal storage footprint while reducing the management burden for data teams. 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 #data #analytics #datawarehouse #datalake #dataengineers #dataarchitects #governance #infrastructure #dremiocloud #dremiotestdrive #openlakehouse #opendatalakehouse #gnarlydatawaves #apacheiceberg #dremio #dremioarctic #datamesh #metadata #modernization #datasharing #migration #ETL #datasilos #datagrowth #selfservice #compliance #arctic #dataascode #branches #tags #optimized #automates #datamovement #clustering #metrics #filtering #partitioning #sorting #tableformat #metastore #ApacheArrow #nessie #sonar #dremiosonar #optimization #automaticdata #management