KQL for Real-Time Analytics: Patterns and Performance
KQL is deceptively simple; over the years I've used it to squeeze sub-second insights from streaming data. Below are the query patterns and optimizations…
7 articles
KQL is deceptively simple; over the years I've used it to squeeze sub-second insights from streaming data. Below are the query patterns and optimizations…
External tables in ADX expose data in Azure Blob Storage or ADLS Gen2 as queryable tables without ingesting the data into ADX—useful when the data is too…
Materialized views in ADX pre-aggregate data according to a defined query, updating continuously as new data is ingested—so when you query the view, you're…
KQL functions in Azure Data Explorer are the reusability mechanism that prevents the same complex query logic from being copy-pasted across dashboards…
ADX Continuous Export is the managed pipeline that continuously moves data from ADX tables to Azure Blob Storage or ADLS Gen2—useful for archiving cold data…
Azure Data Explorer is the analytics service that addresses a specific limitation of Log Analytics: KQL query performance on large historical datasets…
For log analytics at scale, ADX is hard to beat.