Kevin Liu

An open, publicly available Iceberg REST Catalog (IRC) paired with well‑curated, open datasets will help drive the next tranche of Iceberg adoption. This will be the new paradigm to get started with Iceberg.

This panel will kick off a candid discussion with product leaders from companies building the next generation of the Iceberg ecosystem. We’ll explore why Iceberg resonates with their enterprise customers and, ultimately, why their organizations have made a foundational bet on open source.

An open, publicly available Iceberg REST Catalog (IRC) paired with well‑curated, open datasets will help drive the next tranche of Iceberg adoption. This will be the new paradigm to get started with Iceberg.

Join core contributors for an open conversation on what’s next for Apache Iceberg and the broader ecosystem. We’ll unpack the context behind current proposals, explain their impact, and highlight concrete ways the community can work together to accelerate progress.

PyIceberg has come a long way in the past year, crossing 500k daily downloads on PyPI, with many teams now running it in production. In this talk, we’ll highlight some of the new community-driven features that make working with Apache Iceberg tables in Python both easy and fun.

OneLake enables true interoperability, enabling you to write Iceberg and Delta tables once and query them anywhere. Learn how OneLake supports data governance, Spark DML and lifecycle management while exposing the same tables to Snowflake, Athena, Glue, Fabric engines, Power BI, and AI Agents without copies.

Enterprises running critical applications in Kubernetes use Amazon EBS for its high performance, low latency, and persistence, which ensures data can be re-attached to new containers.

As organizations look to broadly adopt containers for their compute, some workloads, such as big data and ETL jobs, need to fetch existing data, perform processing, and store this processed data for downstream use.