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Conferences / PrestoCon

PrestoCon 2023

Dec 5–6, 2023 · Computer History Museum, Mountain View, CA, United States

Conference
PrestoCon Database
Dates
Dec 5, 2023 – Dec 6, 2023
Venue
Computer History Museum
Place
Mountain View, CA, United States
Format
In person
Status
Past
Attendance
—
Website
events.linuxfoundation.org
Recorded
6 sponsors · 42 speaker appearances
Notes
Annual in-person community conference; Dec 5 workshops, Dec 6 main conference. Speakers: full schedule from sched.

Ticket prices

TicketPriceValid untilNotesSource
Conference (early bird)$50Oct 31, 2023Jun 5-Oct 31, 2023web.archive.org
Conference (standard)$100Dec 6, 2023Nov 1-Dec 6, 2023web.archive.org
Workshop add-on$25—per workshop (early bird and standard)web.archive.org

Sponsors 6

Bronze 1

Community 2

Speakers and talks 42

SpeakerCompanyRoleTalkLinks
Ali LeClercIBMKeynoteKeynote: Welcome & Opening Remarks—
Alonso VegaBhumaKeynoteSponsored Keynote: Building Real-time Data Apps for Presto Open Data Lake using modern APIs—
Girish BaligaUberKeynoteKeynote: Welcome & Opening Remarks—
Naveen CherukuriMetaKeynoteKeynote: Presto @ Meta—
Pablo Álvarez-YanezDenodoKeynoteSponsored Keynote: Denodo: Expanding your Data Lake to an Enterprise Data Fabric—
Satya KrishnaswamyIBMKeynoteSponsored Keynote: Future-Forward Performance Enhancements (watsonx.data)—
Srini GurrapuBhumaKeynoteSponsored Keynote: Building Real-time Data Apps for Presto Open Data Lake using modern APIs—
Tim MeehanIBMKeynoteKeynote: Presto: The Vertically Integrated Lakehouse Query Engine—
Vikram MuraliIBMKeynoteKeynote: Presto at IBM - Leaning into Open Source for the Open Data Lakehouse—
Aditi PanditIBMSpeakerIntroduction to Prestissimo—
Ajay GupteIBMSpeaker[Pre-Registration Required] Building an Open Data Lakehouse with Presto and Apache Iceberg—
Ajay GupteIBMSpeakerPresto and Apache Iceberg—
Ali LeClercIBMSpeakerClosing Session—
Amit DuttaMetaSpeakerPrestissimo: A Year In, The Path to Veloxification—
Beinan WangAlluxioSpeakerPresto Optimization with Distributed Caching on Data Lake—
Beinan WangAlluxioSpeakerPresto and Apache Iceberg—
Berthold ReinwaldIBMSpeakerPresto-Vector Database Connector – Bringing Vector Search to Presto—
Changyang GuByteDanceSpeakerA Journey of Evaluating Prestissimo Against PrestoDB on TPC-DS—
Christoph AnneserTechnical University of MunichSpeakerLearned Query Optimization in PrestoDB—
Dave CohenIntelSpeakerLearned Query Optimization in PrestoDB—
Feilong LiuMetaSpeakerOptimizers of Meta Scale—
Gurmeet SinghUberSpeakerPresto Query Governance at Uber—
Hitarth TrivediUberSpeakerPresto Query Governance at Uber—
Hope WangAlluxioSpeakerPresto Optimization with Distributed Caching on Data Lake—
Kiersten StokesIBMSpeaker[Pre-Registration Required] Building an Open Data Lakehouse with Presto and Apache Iceberg—
Kiersten StokesIBMSpeaker[Pre-Registration Required] Getting started with Presto—
Krishna MaheshwariNeuroBladeSpeakerRevolutionizing Data Analytics - Open-Source Hardware Acceleration Support for Presto and Velox—
Lyublena AntovaMetaSpeakerHistory Based Optimizer—
Mingjia HangUberSpeakerPresto Express—
Minhan CaoIBMSpeaker[Pre-Registration Required] Getting started with Prestissimo on Docker—
Nadine FarahOnehouseSpeakerNo Speed Limit: Use Hudi, DBT and Presto for Blazing Fast Analytics—
Nasrullah SheikhIBMSpeakerPresto-Vector Database Connector – Bringing Vector Search to Presto—
Nesime TatbulIntelSpeakerLearned Query Optimization in PrestoDB—
Ryan MarcusUniversity of PennsylvaniaSpeakerLearned Query Optimization in PrestoDB—
Shengxuan LiuByteDanceSpeakerA Journey of Evaluating Prestissimo Against PrestoDB on TPC-DS—
Shiyu GanByteDanceSpeakerCase Study: Batch-Size in Velox Aggregation—
Sujit MadirajuIBMSpeaker[Pre-Registration Required] Getting started with Prestissimo on Docker—
Sungho ParkByteDanceSpeakerAccelerating ElasticSearch Through Velox—
Xiuwen ZhengIBMSpeakerStatistics with Sampling Using Iceberg on Presto—
Yasaman SameiUberSpeakerPresto Query Governance at Uber—
Yihong WangIBMSpeaker[Pre-Registration Required] Getting started with Presto—
Zac BlancoIBMSpeakerStatistics with Sampling Using Iceberg on Presto—

Sources