techdocsmith commented on code in PR #514: URL: https://github.com/apache/druid-website-src/pull/514#discussion_r1919371753
########## src/pages/druid-powered.md: ########## @@ -359,6 +359,18 @@ Italiaonline is the first Italian internet company, with the two most visited we ** Source: Audiweb View, powered by Nielsen, TDA 2H 2015; ** Internal data, December 2015* +## iunera +Iunera has been involved in the "Fahrbar20" project, which focuses on AI-based occupancy optimization in public transport, receiving public funding from the german "Federal Ministry for Digital and Transport" for this initiative. Review Comment: ```suggestion iunera has been involved in the "Fahrbar20" project, which focuses on AI-based occupancy optimization in public transport, receiving public funding from the German Federal Ministry for Digital and Transport. ``` Suggest keeping lowercase "iunera" as in line 367 if that is the brand standard. Caplitalize G in German, Federal Ministry for Digital and Transport is an angency, so no quotes. ########## src/pages/druid-powered.md: ########## @@ -359,6 +359,18 @@ Italiaonline is the first Italian internet company, with the two most visited we ** Source: Audiweb View, powered by Nielsen, TDA 2H 2015; ** Internal data, December 2015* +## iunera +Iunera has been involved in the "Fahrbar20" project, which focuses on AI-based occupancy optimization in public transport, receiving public funding from the german "Federal Ministry for Digital and Transport" for this initiative. + +Druid is utilized in Fahrbar20 to power real-time analytics applications that require fast queries on large datasets. This is particularly useful for the project's aim to optimize vehicle occupancy in public transport (ÖPNV) by analyzing streaming and batch data at scale and under load. Review Comment: ```suggestion Fahrbar20 uses Druid to power real-time analytics applications that require fast queries on large datasets. This is particularly useful for the project's aim to optimize vehicle occupancy in public transport (ÖPNV) by analyzing streaming and batch data at scale and under load. ``` ########## src/pages/druid-powered.md: ########## @@ -359,6 +359,18 @@ Italiaonline is the first Italian internet company, with the two most visited we ** Source: Audiweb View, powered by Nielsen, TDA 2H 2015; ** Internal data, December 2015* +## iunera +Iunera has been involved in the "Fahrbar20" project, which focuses on AI-based occupancy optimization in public transport, receiving public funding from the german "Federal Ministry for Digital and Transport" for this initiative. + +Druid is utilized in Fahrbar20 to power real-time analytics applications that require fast queries on large datasets. This is particularly useful for the project's aim to optimize vehicle occupancy in public transport (ÖPNV) by analyzing streaming and batch data at scale and under load. + +iunera has published all relevant sourcecode and documentation of the fahrbar20 project and the underlying kubernetes cluster configs open source on github under the following links: Review Comment: ```suggestion iunera has published all relevant source code and documentation of the fahrbar20 project and the underlying kubernetes cluster configs open source on GitHub: ``` source code: two words ########## src/pages/druid-powered.md: ########## @@ -359,6 +359,18 @@ Italiaonline is the first Italian internet company, with the two most visited we ** Source: Audiweb View, powered by Nielsen, TDA 2H 2015; ** Internal data, December 2015* +## iunera +Iunera has been involved in the "Fahrbar20" project, which focuses on AI-based occupancy optimization in public transport, receiving public funding from the german "Federal Ministry for Digital and Transport" for this initiative. + +Druid is utilized in Fahrbar20 to power real-time analytics applications that require fast queries on large datasets. This is particularly useful for the project's aim to optimize vehicle occupancy in public transport (ÖPNV) by analyzing streaming and batch data at scale and under load. + +iunera has published all relevant sourcecode and documentation of the fahrbar20 project and the underlying kubernetes cluster configs open source on github under the following links: +* [All fahrbar20 sourcecode ](https://github.com/orgs/iunera/repositories?q=fahrbar2) Review Comment: ```suggestion * [fahrbar20 source code](https://github.com/orgs/iunera/repositories?q=fahrbar2) ``` ########## src/pages/druid-powered.md: ########## @@ -359,6 +359,18 @@ Italiaonline is the first Italian internet company, with the two most visited we ** Source: Audiweb View, powered by Nielsen, TDA 2H 2015; ** Internal data, December 2015* +## iunera +Iunera has been involved in the "Fahrbar20" project, which focuses on AI-based occupancy optimization in public transport, receiving public funding from the german "Federal Ministry for Digital and Transport" for this initiative. + +Druid is utilized in Fahrbar20 to power real-time analytics applications that require fast queries on large datasets. This is particularly useful for the project's aim to optimize vehicle occupancy in public transport (ÖPNV) by analyzing streaming and batch data at scale and under load. + +iunera has published all relevant sourcecode and documentation of the fahrbar20 project and the underlying kubernetes cluster configs open source on github under the following links: +* [All fahrbar20 sourcecode ](https://github.com/orgs/iunera/repositories?q=fahrbar2) +* [Druid Kubernetes cluster config](https://github.com/iunera/druid-cluster-config) +* [How NFTs and AI can solve Public Transport challenges ](https://www.iunera.com/kraken/big-data-examples/how-nfts-and-ai-can-solve-public-transport-challenges) + +Furthermore, iunera has published and druid extension for python code execution during druid ingestion jobs on https://github.com/iunera/iu-code-ingestion-druid-extension. Review Comment: ```suggestion Furthermore, iunera has published a Druid extension for python code execution during druid ingestion jobs on https://github.com/iunera/iu-code-ingestion-druid-extension. ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
