Data Conference Databasea Query.Farm index
Speakers

Steven Wu

Employers on the program

  1. 2026Snowflake1 talk
  2. 2022–2023Apple2 talks
Events3
Conferences3
Talks3
Years active2022–2026
Miles between events5,1313 in-person events · 1 country

Appearances by year

201920202021202220232024202520262027
  • Flink Forward
  • Iceberg Summit
  • QCon

Talks

DateEventConferenceRoleTitleLinks
Apr 8, 2026Iceberg Summit 2026Iceberg SummitspeakerBreaking the Mold: Re-thinking Iceberg Metadata Structure in v4
as Snowflake
Since its inception, Apache Iceberg’s core metadata structure has powered an open lakehouse optimized for large, slow-moving tables. As workloads push the…Show less

Since its inception, Apache Iceberg’s core metadata structure has powered an open lakehouse optimized for large, slow-moving tables. As workloads push the boundaries of use cases, the original metadata tree shows its limitations: high write amplification and copy-on-write overhead can drive high commit latencies for the small, frequent commits common in streaming.

Video
Jun 13, 2023QCon New York 2023QConspeakerStreaming from Apache Iceberg - Building Low-Latency and Cost-Effective Data Pipelines
as Apple
Apache Flink is a very popular stream processing engine featuring sophisticated state management, even-time semantics, exactly-once state consistency. For low…Show less

Apache Flink is a very popular stream processing engine featuring sophisticated state management, even-time semantics, exactly-once state consistency. For low latency processing, Flink jobs typically consume data from streaming sources like Apache Kafka.

Aug 1, 2022Flink Forward San Francisco 2022Flink ForwardspeakerTame the small files problem and optimize data layout for streaming ingestion to Iceberg
as Apple
In modern data platform architectures, stream processing engines such as Apache Flink are used to ingest continuous streams of data into data lakes such as…Show less

In modern data platform architectures, stream processing engines such as Apache Flink are used to ingest continuous streams of data into data lakes such as Apache Iceberg.

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Amogh Jahagirdar112026
Gang Ye112022

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.