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Fabian Paul commented on FLINK-25021: ------------------------------------- [~xwang51] sorry for the late response. I just came back to work. Before we can discuss the technical details I would like to understand how a Source/Sink for Azure Data Explorer should look like from a Flink perspective. Can you elaborate more about your use case or the potential scenario? When looking through the documentation I had a hard time picturing using Flink with Azure Data Explorer. > Source/Sink for Azure Data Explorer (ADX) > ----------------------------------------- > > Key: FLINK-25021 > URL: https://issues.apache.org/jira/browse/FLINK-25021 > Project: Flink > Issue Type: New Feature > Components: Connectors / Common > Reporter: Xue Wang > Assignee: Xue Wang > Priority: Major > > Hi all, > I'm considering implementing source/sink for Azure Data Explorer (ADX). But > first I'd like to check with the community if this is already a supported > scenario. If not, will you consider adding it to the list of official > connectors? > FWIW, Azure Data Explorer is a widely used analytic service on Azure well > suited for ad-hoc and time series analysis over large volume of structured, > semi-structured, and unstructured data. And it can integrate with a wide > range of data sources and visualization tools. > References: > [General Intro by ADX > PM|https://vincentlauzon.com/2020/02/19/azure-data-explorer-kusto] > [ADX > Documentation|https://docs.microsoft.com/en-us/azure/data-explorer/data-explorer-overview] > [Ingest data using the Azure Data Explorer Java > SDK|https://docs.microsoft.com/en-us/azure/data-explorer/java-ingest-data] -- This message was sent by Atlassian Jira (v8.20.1#820001)