EP32 - Introduction to Dremio Arctic: Catalog Versioning and Iceberg Table Optimization

The data lakehouse is an architectural strategy that combines the flexibility and scalability of data lake storage with the data management, data governance, and data analytics capabilities of the data warehouse. As more organizations adopt this architecture, data teams need a way to deliver a consistent, accurate, and performant view of their data for all of their data consumers. In this video, we will share how Dremio Arctic, a data lakehouse management service: - Enables easy catalog versioning using data as code, so everyone has access to consistent, accurate, and high quality data. - Automatically optimizes Apache Iceberg tables, reducing management overhead and storage costs while ensuring high performance on large tables. - Eliminates the need to manage and maintain multiple copies of the data for development, testing, and production. 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 #dataengineers #dataarchitects #governance #infrastructure #dremiocloud #dremiotestdrive #openlakehouse #opendatalakehouse #apacheiceberg #dremioarctic #datamesh #metadata #modernization #datasharing #migration #ETL #datasilos #selfservice #compliance #dataascode #branches #optimized #automates #datamovement #clustering #metrics #filtering #partitioning #tableformat #ApacheArrow #projectnessie #dremiosonar #optimization #automaticdata #scalability #enterprisedata #federated #catalogmigratortool #reflections #ML #versioning #tables #catalog #accelerate #analytics #ELT #dataanalytis