Apache Iceberg Office Hours

Join the Dremio developer advocacy and engineering teams for the first installment of Apache Iceberg office hours. During this time we’ll have a brief Iceberg presentation on copy-on-write vs merge-on-read in Iceberg and then lots of dedicated time for Q&A on the presented topic or any other questions or guidance you’re looking for help on in learning about Apache Iceberg or architecting your data lakehouse around Apache Iceberg.

Examples of questions you can come to ask:
- How can I optimize my Iceberg tables for my different use cases?
- What tools will best handle my ETL job to write to Iceberg?
- How can I control access to my Iceberg tables?
- How can I convert data from X into an Iceberg table?
- How can I get started with Iceberg in Databricks?

Join us for the first installment of our regular Apache Iceberg office hours to help build your low-cost high performance data lakehouse!

Watch the Dremio developer advocacy and engineering teams for an installment of Apache Iceberg Office Hours. During this time we’ll have a brief Iceberg presentation on Hidden Partitioning and Partitioning transforms in Iceberg and then lots of dedicated time for Q&A on the presented topic or any other questions or guidance you’re looking for help on in learning about Apache Iceberg or architecting your data lakehouse around Apache Iceberg.

Examples of questions:
- How can I optimize my Iceberg tables for my different use cases?
- What tools will best handle my ETL job to write to Iceberg?
- How can I control access to my Iceberg tables?
- How can I convert data from X into an Iceberg table?
- How can I get started with Iceberg in Databricks?

Watch Dremio developer advocacy and engineering teams for an installment of Apache Iceberg Office Hours. During this time we’ll have a brief Iceberg presentation on Hidden Partitioning and Partitioning transforms in Iceberg and then lots of dedicated time for Q&A on the presented topic or any other questions or guidance you’re looking for help on in learning about Apache Iceberg or architecting your data lakehouse around Apache Iceberg.

Examples of questions you can come to ask:
- How can I optimize my Iceberg tables for my different use cases?
- What tools will best handle my ETL job to write to Iceberg?
- How can I control access to my Iceberg tables?
- How can I convert data from X into an Iceberg table?
- How can I get started with Iceberg in Databricks?

Watch the Dremio developer advocacy and engineering teams for an installment of Apache Iceberg Office Hours. During this time we’ll have a brief Iceberg presentation on table format interoperability, going over the table format migration options, converters, and newer interoperability solutions like onetable and uniform. We’ll go through the capabilities, limitations, and considerations and then have lots of dedicated time for Q&A on the presented topic or any other questions or guidance you’re looking for help on in learning about Apache Iceberg or architecting your data lakehouse around Apache Iceberg.

We will cover topics:
- Format Interop
- Using Lakehouse Engines to Unite Table Formats
- Using Onehouse's Onetable Technology
- Using Delta Lake 3.0 UniFormat
- Consideration - Consistency
- Consideration - Vendor Agnosticism
- Consideration - Flexibility