Cost efficient alternative to databricks lock-in
Spark-based data PaaS solutions are convenient. But they come with their own set of challenges such as a high vendor lock-in and obscured costs. We show how to use a dedicated …
Cloud arbitrage for spark pipelines
Spark-based data PaaS solutions are convenient. But they come with their own set of challenges such as a high vendor lock-in and obscured costs. We show how to use a dedicated …
Introduction to Geostatistics
Delve into the world of geostatistics with our introductory talk! Explore how spatial data analysis and modeling techniques unlock insights in various fields, from environmental …
Data Engineering in the DBT ecosystem
From the distributed monolith of CRON jobs to lazy coupling
Modern data stack in the enterprise
From the distributed monolith of CRON jobs to lazy coupling
Governance and pipelines in the modern data stack
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 …
Efficient Temporal Graph Analytics
Using large scale telecommunication data for mobility modeling and infrastructure maintenance
AI basierte Root Cause Analyse von CPD Störquellen in Docsis Netzen
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 …
Orchestrating data in the mesh of the fragmented modern data stack
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 …
Mobility analytics
Mobility monitoring in Austria during the COVID NPI