Nussknacker (@nussknacker_io) 's Twitter Profile
Nussknacker

@nussknacker_io

Real-time actions on data with ML inference → a lightweight solution that seamlessly plugs into modern event-driven architectures

ID: 1445310363260624896

linkhttps://nussknacker.io/ calendar_today05-10-2021 08:51:46

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359 Followers

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Release 1.17 introduces #Flink Catalogs integration. Thanks to Catalogs, Nussknacker can be used to act on data stored in 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲𝘀. 👉 Check our tutorial on Apache #Iceberg integration nussknacker.io/blog/nussknack…

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In this tutorial we demonstrate how to develop an inventory monitoring system using Nussknacker, going from a basic stock-level tracking solution into a dynamic, demand-aware system youtu.be/NcAn7PsG7V0

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Thanks for coming to our presentation at the Data Science Summit in Warsaw. If you are interested in finding out more about this topic, please get in touch with us or contact Zbigniew Małachowski directly

Thanks for coming to our presentation at the <a href="/DSS_conference/">Data Science Summit</a> in Warsaw. If you are interested in finding out more about this topic, please get in touch with us or contact Zbigniew Małachowski directly
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With the latest 1.18 release we have added new Activity Panels to replace Versions, Comments and Attachments panels. ☑️Now you can browse all scenario activities on one chronological list. Check out what's more in the latest release: lnkd.in/dU75vpWh

With the latest 1.18 release we have added new Activity Panels to replace Versions, Comments and Attachments panels. ☑️Now you can browse all scenario activities on one chronological list.

Check out what's more in the latest release: lnkd.in/dU75vpWh
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A decision making scenario must be easy to change, even with real-time data - just ask your business teams It takes about 1 minute to add a new real-time processing branch that uses time windows and sends processed data back to #Kafka