Recent Blog ArticlesMost RecentMost LikesSynapse Data Explorer (SDX) to Eventhouse Migration Capability (Preview) Synapse Data Explorer (SDX), part of Azure Synapse Analytics, is an enterprise analytics service that enables you to explore, analyze, and visualize large volumes of data using the familiar Kusto Que...Query Acceleration for Delta External Tables (Preview) An external table is a schema entity that references data stored external to a Kusto database. Queries run over external tables can be less performant than on data that is ingested due to various fac...ADX Continuous Export to Delta Table - Public Preview We're excited to announce that continuous export to Delta table is now available in Preview. Continuous export in ADX allows you to export data from Kusto to an external table with a periodica...Re: Optimizing Vector Similarity Searches at Scale vsrekha213 absolutely, the example shows how-to load it one-time from Notebooks - the data once loaded into Kusto, stays there for future use depending on your retention settings. In Fabric, you can...Azure Data Explorer for Vector Similarity Search https://learn.microsoft.com/en-us/azure/data-explorer/kusto/query/series-cosine-similarity-functionIn the world of AI & data analytics, vector databases are emerging as a powerful tool for managing ...Azure Data Explorer supports native ingestion from Amazon S3 Today we are excited to launch the ability to ingest data from AWS S3 into ADX natively. Optimizing Vector Similarity Searches at Scale This post is co-authored by@adieldar(Principal Data Scientist, Microsoft) In a previous blog – Azure Data Explorer for Vector Similarity Search, we focused on how Azure Data Explorer (Kusto) ...Introducing the New Get Data Experience: Streamlining Your Data Ingestion Journey We're thrilled to unveil a brand new Get Data Experience – next generation evolution of Ingestion Experience in Azure Data Explorer (ADX)! Designed with simplicity and efficiency in mind, this update...Re: Optimizing Vector Similarity Searches at Scale HiAleksandraJ - one quick option is for you to use the Notebook in repo and run it in Microsoft Fabric. You can just use the KQL Database in Fabric. If you want to avoid using spark, you can just...Re: Azure Data Explorer for Vector Similarity Search abymammenmathewplease check this latest blog on performance optimization -https://techcommunity.microsoft.com/t5/azure-data-explorer-blog/optimizing-vector-similarity-searches-at-scale/ba-p/3881884...
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