EP36 - Simplify Lakehouse Operations with Zero-Copy Clones and Multi-Table Transactions

Organizations who want to leverage their data lake for insights often struggle to deliver a consistent, accurate, high-quality view of their data to all of their data consumers. That challenge is often exacerbated by the need to make changes to data that impacts multiple tables. In this video, we’ll share how data teams can use Dremio Arctic, a data lakehouse management service, to simplify data management and operations. Using Git for Data capabilities like branching, tagging, and commits, we’ll show how Dremio Arctic makes it easier than ever to: - Create zero-copy clones of your data lake so data consumers can work on production-quality data without impacting other users. - Quickly make updates to all of your tables and merge those changes atomically, so every user has access to an accurate and consistent view of the data lake. - Reduce the costs and complexities associated with data lakehouse management. See all upcoming episodes and past episodes: https://www.dremio.com/gnarly-data-wa... Connect with us! 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 Resource: https://www.dremio.com/resources/?utm... Events: https://www.dremio.com/events/?utm_me...#datalakehouse #analytics #datawarehouse #datalake #dataengineers #dataarchitects #governance #dremiocloud #dremiotestdrive #opendatalakehouse #apacheiceberg #dremioarctic #selfservice #lakehousecatalog #dataascode #branches #automates #tableformat #dataoptimization #enterprisedata #reflections #fileformat #multi-tables #analytics #dataanalytis #timetravel #governance #security #accesscontrol #tableoptimization #tablecleanup #zero-copy #clones #productiondata #gitfordata #catalogversioning #ci #cd #merge #etl #branch