Data Conference Databasea Query.Farm index
Speakers

Frank McSherry

Employers on the program

  1. 2019–2024Materialize5 talks

Bluesky: @frankmcsherry.bsky.social

Events4
Conferences3
Talks51 keynote
Years active2019–2024
Miles between events6,6194 in-person events · 2 countries

Appearances by year

201920202021202220232024202520262027
  • Data Council
  • LDBC Technical User Community (TUC) Meeting
  • Postgres Conference (PostgresConf)

Talks

DateEventConferenceRoleTitleLinks
Apr 17, 2024Postgres Conference 2024Postgres Conference (PostgresConf)speakerBetter materialized views in 1 million LOC: Inside Materialize's PostgreSQL source
as Materialize
PostgreSQL's materialized views are a great tool to provide low-latency answers to complex queries – but did you know they could offer serializable consistency…Show less

PostgreSQL's materialized views are a great tool to provide low-latency answers to complex queries – but did you know they could offer serializable consistency if you used cutting-edge streaming engines, many millions of dollars, and countless hours of work from talented systems engineers and academics?

Slides
Apr 17, 2024Postgres Conference 2024Postgres Conference (PostgresConf)keynoteEnabling New Operational Use Cases with PostgreSQL
as Materialize
As the world moves towards lower latency in operational workloads, a new opportunity is emerging for database architects to ask which query processing work in…Show less

As the world moves towards lower latency in operational workloads, a new opportunity is emerging for database architects to ask which query processing work in their database should be performed proactively, as data change, and which work should be performed reactively, as queries roll in.

Mar 28, 2023Data Council Austin '23Data CounciltalkHow to Build a Streaming Database in Three Challenging Steps Streaming
as Materialize
Nov 12, 2019Data Council New York City 2019Data CounciltalkThe Materialize Incremental View Maintenance Engine Database internals
as Materialize
Jul 5, 2019Twelfth LDBC TUC MeetingLDBC Technical User Community (TUC) MeetingspeakerExperiences implementing LDBC queries in a dataflow system
as Materialize
Slides

Frequent co-speakers

No one else spoke at two or more of the same events.

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.