Content by arindamc (6)

arindamc explains how Workspace Outbound Access Protection (OAP) in Microsoft Fabric controls outbound connectivity for Eventstream, so streaming pipelines can only read from approved sources and write to approved destinations (including cross-workspace routes) using data connection rules.

arindamc explains how to build a real-time “row-to-intelligent-action” pipeline in Microsoft Fabric that captures shopping-cart signals via CDC, reshapes them into analytics-ready rows, and enriches each micro-batch with AI in a Spark Structured Streaming notebook to drive timely actions.

arindamc shows how to build a “row-to-intelligent-action” pipeline in Microsoft Fabric: capture Azure SQL changes via CDC into Fabric Eventstreams, reshape them with DeltaFlow, enrich each micro-batch in Spark Structured Streaming using AI Functions for PySpark, and publish Business Events for real-time routing and dashboards.

arindamc walks through a Microsoft Fabric “row-to-action” pattern where database row changes are mirrored into OneLake, streamed through Fabric Eventstreams, aggregated with windowing, and routed to Activator and Eventhouse for real-time triggers and live KQL dashboards.

arindamc shows how to build a multi-city, real-time weather monitoring pipeline in Microsoft Fabric using Eventstream and Eventhouse AI Skills, turning a repetitive portal setup into a single natural-language prompt that deploys sources, filtering, and KQL-backed alerting in minutes.

arindamc explains how the Mirrored Database Change Feed connector (Preview) streams Delta Change Data Feed updates from Microsoft Fabric Mirroring into Fabric Eventstreams, enabling low-latency, event-driven processing and routing to destinations like Eventhouse, Activator, and Lakehouse without custom Spark polling jobs.