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https://issues.apache.org/jira/browse/FLINK-25021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17468056#comment-17468056
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Xue Wang commented on FLINK-25021:
----------------------------------

Hi [~fpaul], happy new year!

One potential scenario would be to use Flink as a streaming ETL solution and 
then ingest results into ADX for final time-series or user behavior analytics, 
supporting both interactive queries and data visualizations at low latency. 

Some common scenarios as depicted in [ADX 
solutions|https://docs.microsoft.com/en-us/azure/data-explorer/solution-architectures]
 often suggest using ADX to directly consume events from message queues such as 
Kafka or Azure EventHub. However in actual development this is usually a 
sub-optimal solution due to various reasons.

Furthermore, you may also find some docs describing other scenarios like [Azure 
Data Explorer and Stream Analytics for anomaly 
detection|https://azure.microsoft.com/en-us/blog/azure-data-explorer-and-stream-analytics-for-anomaly-detection/]
 and [When to use Azure Data Explorer or/and Azure Stream 
Analytics|https://docs.microsoft.com/en-us/azure/stream-analytics/azure-database-explorer-output#when-to-use-azure-data-explorer-orand-azure-stream-analytics]
 (Azure Stream Analytics is an Azure native offering for streaming processing).

I personally often treat ADX as an close alternative to ElasticSearch, since 
feature-wise they are close enough (though by design they are essentially 
different in many ways). I hope this can also help you understand why I'd like 
to use Flink with ADX. I believe AWS should have similar offering via Kinesis, 
however I cannot comment on this since I'm not familiar with AWS .

> 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]



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