
Nov 10, 2023

Resolving the pain of the distributed data monolith with governance and orchestration. Code examples of a similar previous talk: https://github.com/geoHeil/dataengineering-meetup-vienna-2023-05 Date: 2023-09-06
Sep 6, 2023

Resolving the pain of the distributed data monolith with governance and orchestration. Code examples: https://github.com/geoHeil/dataengineering-meetup-vienna-2023-05 Date: 2023-05-10
May 10, 2023
The data orchestrator is at the heart of the data pipelines. We start by exploring how a modern data orchestrator drastically eases the development of pipelines. Then we will see how govanance can be conducted efficiently in a MDS-based setup.
Dec 8, 2022

Oct 19, 2022

Good quality network connectivity is ever more important. For hybrid fiber coaxial (HFC) networks, searching for upstream \emph{high noise} in the past was cumbersome and time-consuming. Even with machine learning due to the heterogeneity of the network and its topological structure, the task remains challenging. We present the automation of a simple business rule (largest change of a specific value) and compare its performance with state-of-the-art machine-learning methods and conclude that the precision@1 can be improved by 2.3 times. As it is best when a fault does not occur in the first place, we secondly evaluate multiple approaches to forecast network faults, which would allow performing predictive maintenance on the network.
May 10, 2022
The fragmented modern data stack has emerged as the unbundling of Airflow. Various tools operate in silos. Dagster as a next-generation data orchestrator allows you to clearly see the data dependencies of the individual pipelines on your data factory floor.
Apr 27, 2022
Nov 16, 2020

recent history of data processing.
Aug 4, 2019

https://docs.google.com/presentation/d/1wBMFVv-4iaVfbmH5GNynvSaTAMQtWpUoHuMNHP83Uys/edit?usp=sharing
May 27, 2018