Recent Blog ArticlesMost RecentMost LikesRe: Time Weighted Average and Value in Azure Data Explorer ThanksSchulC43, Kusto push predicates so in theory moving the time filter should be done by the engine, but maybe it's not the case as a let statement is separates clause. I'll check that to confirm...Time Weighted Average and Value in Azure Data Explorer New functions to calculate time weighted interpolation and average Re: Optimizing Vector Similarity Search on Azure Data Explorer – Performance Update HiRajesh-Singh, we didn't do a formal comparison yet. In general, using Kusto you can store the embeddings in your table in your own db, and you have full control of it (w.r.t. retention, cross regi...New Custom and Managed Python images in Azure Data Explorer Introducing new managed Python images and the option to configure a custom Python image Advanced Time Series Anomaly Detector in Fabric Anomaly Detector, one of Azure AI services, enables you to monitor and detect anomalies in your time series data. This service is being retired by October 2026, and as part of the migration process t...Breaking changes February 2024 Breaking change: Deprecating support of Python & R language extensions on VM sizes that don’t support Nested Virtualization. In this article you'll find the description of the change, required steps,...Optimizing Vector Similarity Search on Azure Data Explorer – Performance Update This post is co-authored byAnshul_Sharma (Senior Program Manager, Microsoft). This blog is an update of Optimizing Vector Similarity Searches at Scale. We continue to improve the performance ...Re: Train your Model on Spark/Databricks, score it on ADX Taking it offline Re: Train your Model on Spark/Databricks, score it on ADX Which package? Please clarify where exactly you are blocked. Log Clustering in Azure Data Explorer We are happy to introduce a set of powerful log clustering functions. These functions are based on state of the art log clustering algorithm, combining ML, statistical analysis and the user’s domain ...
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