Seattle Apache Iceberg™ Community Meetup
Seattle Apache Iceberg™ Community Meetup - Interoperability! 🧊❄️🍦
Join us on Feb 27 (Thursday) from 4:30-7:30 PM
At Microsoft Redmond (The Mixer/2003 Microsoft Commons. 15255 NE 40th St, Redmond, WA 98052)
Connect with fellow enthusiasts, share insights, and dive into the latest developments in the Apache Iceberg™ ecosystem! Whether you're a seasoned pro or new to Apache Iceberg, this meetup is the perfect place to exchange ideas and spark innovation.
Agenda
4:30p - 5:30p: Doors Open & Networking 💃
5:30p - 6:30p: Welcome Remarks & Presentations!
6:30p - 7:30p: More Networking 🕺
The event will focus on innovations in Apache Iceberg (https://iceberg.apache.org/)
We will discuss topics around Open-Source Data Analytics, Open Table Formats (OTF), software concepts like Transactional Data Lakes or Lakehouse, advancements in AI/ML including generative AI, and many more topics of mutual interest that leverage Apache Iceberg.
During the sessions, we will provide you tips to get involved within the community, you will learn more about how the community is collaborating to grow the technology, and software/solutions that ease problem solving and improve user experiences.
Speakers
Open Table Format Interoperability with Apache XTable
Open table formats like Apache Iceberg, Delta Lake, and Apache Hudi provide a robust and flexible foundation for modern data lakes by supporting features such as schema evolution, versioning, and transactional consistency. Their interoperability is critical, as it allows organizations to avoid lock-in, choose the best tools for each use case, and adapt more easily to emerging technologies. Apache XTable (incubating) is a cross-table converter for lakehouse table formats that facilitates interoperability across data processing systems and query engines.
Rahil Chertara
Previously worked in AWS EMR's Data Lake Team, tackling challenges in cloud-based infrastructure and scalable analytics. Contributed to open table format projects such as Apache Hudi and Apache Iceberg. Currently working in the Data Infrastructure Team at Onehouse, which focuses on Streaming/Ingestion, Table Services, and Apache XTable.
Anand Sivaram - Software Engineer, Microsoft
A general model of Catalog Federation in Apache Polaris
Federation is growing as an increasingly important feature for Apache Iceberg catalogs to unify workloads across a range of disparate data sources. We'll talk about how Apache Polaris approaches this problem to address a variety of related use cases, and explore the relationship between federation of access-control/policies, identities, and catalog entities."
Dennis Huo is a Principal Engineer at Snowflake and an Apache Polaris committer who has enjoyed working in a variety of projects related to Open Source Data Analytics for over a decade.
Iceberg + Delta: Collaborating Across Table Formats
This talk explores the internals of both Iceberg and Delta and shows how their core concepts are mapped to one another. We'll focus on interoperability and collaboration between the two projects. And end the session by implementing Iceberg data compaction using Delta.
Kevin Liu is an Apache Iceberg committer and an open source contributor. He previously worked as a software engineer at Stripe running Iceberg at scale
About Microsoft
Microsoft creates platforms and tools powered by AI to deliver innovative solutions that meet the evolving needs of our customers. The technology company is committed to making AI available broadly and doing so responsibly, with a mission to empower every person and every organization on the planet to achieve more.
Microsoft Fabric is an end-to-end analytics solution with full-service capabilities including data movement, data engineering, data integration, data science, real-time analytics, and business intelligence — all backed by a shared platform providing robust data security, governance, and compliance. Plus, it comes with Microsoft OneLake, the single, unified, logical data lake for your whole organization.
Additional Resources and Information:
📚 Microsoft Fabric documentation
📰 Microsoft Fabric Updates blog
🤝 Join us at FabCon Las Vegas 2025
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse and Apache Spark™.
📚 Check out Tabular has joined Databricks towards a joint vision of the open lakehouse.
📲 Follow Databricks on LinkedIn, X, and Facebook.
🖥️ Subscribe to Databricks YouTube.
💾 Sign up for Databricks Express Setup and get $400 free credits when using your work email.
About AWS
Whether you're looking for generative AI, compute power, database storage, content delivery, or other functionality, AWS has the services to help you build sophisticated applications with increased flexibility, scalability, and reliability. AWS is the world's largest Cloud Services provider. https://aws.amazon.com/
At AWS, Apache Iceberg is an open-source table format that simplifies table management while improving performance. AWS analytics services such as Amazon SageMaker Lakehouse, Amazon S3Tables, Amazon EMR, Amazon Glue, Amazon Athena, and Amazon Redshift include native support for Apache Iceberg, so you can easily build transactional data lakes on top of Amazon Simple Storage Service (Amazon S3) on AWS.
Additional Resources and Information:
📚 Workshop: Running Apache Iceberg on AWS
📚 Blogs: Apache Iceberg on AWS
📚 AWS Prescriptive Guidance: Using Apache Iceberg on AWS
🖥️ Subscribe to AWS Events and AWS Developers
💜 We’re hiring, join our team
About Snowflake
Snowflake makes enterprise AI easy, efficient and trusted. More than 10,000 companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. Snowflake provides native support for Apache Iceberg™ and Apache Polaris™ (incubating).
📚 Check out how Snowflake can power your open data lakehouse
📲 Follow Snowflake on LinkedIn & X
🖥 Subscribe to Snowflake Developers YouTube
❄️ Start your 30-day free Snowflake trial which includes $400 worth of free usage
About Onehouse
Built on open data formats with universal data interoperability, it provides a proven model to deliver a true separation of storage and compute. With Onehouse you can ingest and transform data from any source, manage it centrally in a data lakehouse and query or access it with the engine of your choice. It's the simplest, most cost-efficient, performant way to democratize data within your organization, while reducing costs and streamlining access.
Engineering Blog
https://www.onehouse.ai/blog
Onehouse OSS
https://hudi.apache.org/
https://xtable.apache.org/
Follow Onehouse
https://www.linkedin.com/company/onehousehq/
https://x.com/Onehousehq
Onehouse Youtube
https://www.youtube.com/@onehouseHQ
We’re hiring
https://jobs.lever.co/Onehouse