PyCon.DE 2017 Tamara Mendt - Modern ETL-ing with Python and Airflow (and Spark)
PyCon.DE 2017 Dominik Benz - Flow is in the Air: Best Practices with Apache Airflow
PyCon.DE 2017 Michael König - Turbodbc: Turbocharged database access for data scientists
PYCON.DE 2017 Ansgar Schmidt - Python with Apache OpenWhisk
PyCon.DE 2017 Romain Dorgueil - Simple Data Engineering in python 3.5+ with Bonobo
PYCON.DE 2017 David Wölfe - From 0 to Continuous Delivery in 30 minutes.
PyCon.DE 2017 Sebastian Dreßler - High-Performance Ingestion with Python and Swarm64DB
PyCon.DE 2017 Nafiul Islam - Graphql in the Python World
Tania Allard - Building data pipelines in Python: Airflow vs scripts soup - PyCon 2019
PyCon.DE 2017 Eberhard Hansis - Data Plumbing 101 - ETL Pipelines for Everyday Projects
IS ETL Dead?
PyCon.DE 2017 Patrick Schemitz - From Java to Python: Migrating Search Functionality at billiger.de
Aaron Knight Build a data pipeline with Luigi PyCon 2017
Next Data Science Platform Generation - Lisa Neddam
PyCon.DE 2018: Bonobo, Airflow And Grafana To Visualize Your Business - Romain Dorgueil
Alejandro Saucedo, Eigen Technologies «Industrial Data Pipelines with Python and Airflow»
How We Start Building a Data-Informed Culture with Airflow (Replacement) - Kan Ouivirach
PYCON UK 2017: Cylc: the Python workflow engine for cycling systems
Sarah Guido The Wild West of Data Wrangling PyCon 2017
Creating a Data Transformation Pipeline in Seconds with ShareInsights