The Apache Iceberg project has made tremendous strides, evolving on various fronts such as usage, ecosystem adoption, community growth, and capabilities. In the past few months, the project has introduced many exciting new features and performance improvements around the core library, compute engines and standalone libraries (such as PyIceberg) that makes this lakehouse technology robust & valuable for organizations. In this video of Gnarly Data Waves, we will go over some of the notable new capabilities of Apache Iceberg. Specifically, we will discuss about: - Version 1.2.0 release - Features such as : Branching/Tagging, New write-distribution-mode, Change Data Capture, Catalog Migrator Tool, Delta to Iceberg migration - PyIceberg (What’s happening in the Python library) - Compute Engine-specific features: Dremio, Apache Spark, Flink 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 #dremioarctic #datamesh #metadata #modernization #datasharing #migration #ETL #datasilos #selfservice #compliance #dataascode #branches #optimized #automates #datamovement #clustering #metrics #filtering #partitioning #tableformat #ApacheArrow #nessie #sonar #dremiosonar #optimization #automaticdata #scalability #enterprisedata #federated #catalogmigratortool # pylceberg #apachespark #flink #changedatacapture

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