Webinar on data integration using Apache Hop

On August 26, Stefan Keller of FH OST will lead a free webinar focused on (geo)data manipulation and integration using #Apache #Hop, an open-source, low-code platform for building data workflows. The session will also touch on emerging trends in #AI and #LLMs within the data integration space.
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July 15, 2025

On August 26, Stefan Keller of FH OST will host a free webinar on (geo)data manipulation and integration using Apache Hop.

Apache Hop1 is an open-source platform (under the Apache v2 license) that – in its own words and certainly in the hopes of some industry stakeholders – “aims to be the future of data integration.” And: “Hop workflows and pipelines are definitions of how data needs to be processed. Once designed, a pipeline can be executed on any supported runtime. Hop has built-in support to run pipelines locally and remotely in the native Hop runtime, or on Apache Spark, Apache Flink or Google Dataflow through the Apache Beam runtimes.”

Similar to the market leader in this space2 FME3, Hop workflows are created through a graphical user interface using the drag-and-drop method. Meaning: Hop is a no-code or low-code solution for crafting data workflows.

Besides Apache Hop, the webinar will cover some recent developments around AI4 and LLMs5 in data integration. Registration is required.

Apache Hop (source: Stefan Keller)

Footnotes

  1. “Hop” stands for “Hop Orchestration Platform”; the recursive acronym maybe being a nod to “GNU”?↩︎

  2. I think…↩︎

  3. Safe Software’s Feature Manipulation Engine↩︎

  4. Artificial intelligence↩︎

  5. Large Language Models↩︎