PyCon.DE 2017 Uwe Korn - Connecting PyData to other Big Data Landscapes using Arrow and Parquet
PyCon.DE 2018: Scalable Scientific Computing Using Dask (Workshop) - Uwe L. Korn
PyCon.DE 2018: Fulfilling Apache Arrow's Promises: Pandas On JVM Memory Without A Copy - Uwe L. Korn
PyCon.DE 2017 Michael König - Turbodbc: Turbocharged database access for data scientists
PyCon.DE 2018: Big Data Systems Performance: The Little Shop Of Horrors - Jens Dittrich
Uwe L Korn - Efficient and portable DataFrame storage with Apache Parquet
(Efficient) Data Exchange with "Foreign" Ecosystems - Uwe Korn [PyData Frankfurt]
PyCon.DE 2017 Keynote Prof. Dr. Susanne Mertens - Neutrinos: who are you and if yes how many?
rrrow: an R front end to Apache Arrow
Berlin Buzzwords 2019: Uwe Korn – Taming the language border (...) #bbuzz
PyCon.DE 2017 Christian Staudt - The Python Ecosystem for Data Science: A Guided Tour
Apache Arrow with Uwe Korn
Extending Pandas using Apache Arrow and Numba - Uwe L Korn
PyCon.DE 2017 Florian Rhiem - Integrating Jupyter Notebooks into your Infrastructure
Apache Arrow: A Cross-language Development Platform for In-memory Data | Ursa Labs
Uwe L Korn- Pandas to Sql is Simple but Not Fast| PyData Global 2020
Stream Processing with In Memory Data Grids: Creating the Digital Twin
Is it a bird? Is it a plane? Accelerating Python with numba - Juan Luis Cano - PyLondinium19
Apache Arrow: A Cross-language Development Platform for In-memory Data - Wes McKinney | Crunch 2018
Katharine Jarmul: DAGs & Dask: How & When to Accelerate Your Data Analysis
![(Efficient) Data Exchange with "Foreign" Ecosystems - Uwe Korn [PyData Frankfurt]](https://img.youtube.com/vi/_4LTLVu-S5M/0.jpg)
