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PyCon.DE 2018: Fulfilling Apache Arrow's Promises: Pandas On JVM Memory Without A Copy - Uwe L. Korn
Uwe L Korn - Efficient and portable DataFrame storage with Apache Parquet
Where We’re Going, We Don’t Need Rows: Columnar Data Connectivity with Apache Arrow ADBC (Ian Cook)
(Efficient) Data Exchange with Foreign Ecosystems - Uwe Korn [PyData Frankfurt]
Apache Arrow Introduction
Apache Arrow: A Cross-language Development Platform for In-memory Data | Ursa Labs
Working with Apache Spark's new Vectorized UDFs (from Apache Arrow) for Sparkling ML
Apache Arrow Based Unified Data Sharing and Transferring Format Among CPU and AcceleratorsBinwei Yan
Wes McKinney | Ursa Labs and Apache Arrow in 2019 | RStudio (2019)
Apache Arrow Flight: gRPC Streaming for Parquet on S3 (Python Demo)
Uwe L Korn- Pandas to Sql is Simple but Not Fast| PyData Global 2020
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Last Updated: October 23, 2026
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PyData Berlin 2018 With the latest release of Pandas the ability to extend it with custom dtypes was introduced. Using Visit our website softwaredaily.com In a typical data analytics system, there are a variety of technologies interacting. PyData New York City 2017 Slides: ... Filmed at PyData London 2017 pydata.org Description CMU Database Group - Future Data Systems Seminar Series (Fall 2025) Speaker: Ian Cook ... Recorded at PyData Frankfurt Meetup. Join us on meetup: meetup.com/PyData-Frankfurt Twitter: ... Brief description of the big data and analytics tool Get the slides: datacouncil.ai/talks/ This livestream will walk through adding some vectorized UDFs in PySpark (and allowing them to be called from Scala/Java) with ... CPU technologies have scaled well in past years, by more complex architecture design, more wide execution pipelines, more ... Learn more about what's happening at URSA labs at wesmckinney.com/archives.html. Talk Pandas provides convenience methods to read and write to databases using to_sql and read_sql. They provide great ...