Streaming Design Notes in Fabric: keeping streaming dashboards useful after week one
I focused on making delivery decisions auditable and repeatable—documenting intent, success criteria, and rollback paths to reduce tribal knowledge.
25 articles
I focused on making delivery decisions auditable and repeatable—documenting intent, success criteria, and rollback paths to reduce tribal knowledge.
I worked on smoothing the handoff between data engineering and AI teams—standardizing feature contracts, embedding validation, and adding lightweight…
I focused on making delivery decisions auditable and repeatable—documenting intent, success criteria, and rollback paths to reduce tribal knowledge.
I spent the day reducing cognitive overhead for engineers and analysts—introducing clearer table contracts, simpler failure modes, and concise runbooks that…
I turned implicit processes into explicit operating rules—defining owners, acceptance tests, and lightweight runbooks so teams can move confidently and…
I spent the day reducing cognitive overhead for engineers and analysts—introducing clearer table contracts, simpler failure modes, and concise runbooks that…
That's a missed opportunity. Kusto Query Language. Developed by Microsoft. Used across Azure Monitor, Azure Data Explorer, Microsoft Sentinel, and now…
Eventhouse is the storage layer optimized for time-series and streaming data. It automatically indexes data for lightning-fast queries.
Microsoft Fabric's Real-Time Intelligence workload has matured significantly since GA. Today I'm exploring how to build streaming analytics pipelines that…
Microsoft Fabric's Real-Time Intelligence workload has matured significantly since GA. We've implemented several production streaming scenarios, and I want…
Real-time analytics in Fabric provides a powerful, integrated solution for streaming data. Start with simple patterns and evolve to more complex scenarios…
KQL Querysets are the analysis layer of Real-Time Intelligence in Fabric. Today I'm exploring how to write effective KQL for real-time analytics.
Eventhouses are the foundation of Real-Time Intelligence in Fabric. Today I'm exploring their architecture and capabilities in depth.
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…
I've built several streaming pipelines on Fabric; the combination of Eventstreams, KQL, and Data Activator covers most real-time needs. This post shows…
'{ "SoftDeletePeriod": "90.00:00:00", "Recoverability": "Enabled" }' '{ "DataHotSpan": "7.00:00:00", "IndexHotSpan": "14.00:00:00" }'
'{' ' "SoftDeletePeriod": "30.00:00:00",' ' "Recoverability": "Enabled"' '}'
Real-Time Analytics in Fabric provides powerful streaming capabilities for time-sensitive workloads. Tomorrow, I will cover Power BI integration in Fabric.
KQL functions in Azure Data Explorer are the reusability mechanism that prevents the same complex query logic from being copy-pasted across dashboards…
Cross-workspace queries in KQL let you write a single query that spans multiple Log Analytics workspaces—essential when your monitoring architecture splits…
Azure Resource Graph is the query service that answers "what do we actually have in Azure?" at enterprise scale in milliseconds. The ARM APIs query each…
KQL is the query language I've spent the most hours in this year that most developers have never heard of. If you use Log Analytics, Sentinel, Application…
Operational dashboards in Azure used to mean Power BI, a custom data export, and a refresh schedule nobody could remember. Workbooks killed all of that for…
Resource Graph is essential for understanding your Azure estate at scale.
For log analytics at scale, ADX is hard to beat.