Great video as always!! 👍👍👍. I would like to see a video about Data As A Product and its relationship with Data Mesh, along with a real case example of how to create one, if it's possible. Keep up the fantastic work! Looking forward to the next video. 🎥🔥
4:55 while a good video introduction to Apache iceberg, there are a few point that needs to be clarified here. Delta Lake is not owned by Databricks but by the Linux Foundation since October 2019, unlike the 2 other table formats Hudi and Iceberg. Apache Kudu, Cassandra and Druid are not table formats so cannot and shouldn’t be compared to Apache Iceberg. Databricks don’t have a Delta engine. Delta, Hudi and Iceberg are all 3 available on AWS in AWS Amazon Glue, AWS EMR and Amazon Redshift Spectrum. It’s not just Iceberg which is supported there. All 3 table formats are fully open source, not owned by any company and community driven. They are all 3 supported by the same set of Query engine such as Spark, Flink, Presto, Trino and more. Delta lake is not just supported by Databricks (which you will hear a lot in the Iceberg community) but also by Google BigQuery and Snowflake. Microsoft Fabric platform is built on top of Delta Lake table format.
Great video as always!! 👍👍👍. I would like to see a video about Data As A Product and its relationship with Data Mesh, along with a real case example of how to create one, if it's possible. Keep up the fantastic work! Looking forward to the next video. 🎥🔥
I'd also love to see you do a video on Data-as-Code, Project Nessie and similar things.
4:55 while a good video introduction to Apache iceberg, there are a few point that needs to be clarified here.
Delta Lake is not owned by Databricks but by the Linux Foundation since October 2019, unlike the 2 other table formats Hudi and Iceberg.
Apache Kudu, Cassandra and Druid are not table formats so cannot and shouldn’t be compared to Apache Iceberg.
Databricks don’t have a Delta engine.
Delta, Hudi and Iceberg are all 3 available on AWS in AWS Amazon Glue, AWS EMR and Amazon Redshift Spectrum. It’s not just Iceberg which is supported there.
All 3 table formats are fully open source, not owned by any company and community driven. They are all 3 supported by the same set of Query engine such as Spark, Flink, Presto, Trino and more.
Delta lake is not just supported by Databricks (which you will hear a lot in the Iceberg community) but also by Google BigQuery and Snowflake. Microsoft Fabric platform is built on top of Delta Lake table format.
Really good and on-point explanation.