Understanding Optimistic Concurrency in Data Processing Jobs

So you want to base your data lakehouse around Apache Iceberg to take advantage of its features, performance and vast ecosystem of platform/tool compatibility. You’ll need to take your current Hive tables and convert them to Iceberg. Iceberg offers several tools to do so depending on your needs and in this video we’ll explore that migration process. - How to do an in-place migration and avoid rewriting your data - How to do a shadow migration where you can update your data’s schema and partitioning - How to move Apache Iceberg tables from one catalog to another 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 #migration #ETL #datasilos #datagrowth #selfservice #compliance #arctic #dataascode #branches #tags #optimized #automates #datamovement #zorder #clustering #metrics #filtering #partitioning #sorting #tableformat #hive