22-25 April 2026 
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SQLBits 2026
Garden Math: IoT Sensors, Fabric Eventhouses, and Data Engineering in Action
See how telemetry, Raspberry Pis, and Fabric Eventhouses turned a struggling garden into a streaming-data experiment—with patterns you can apply far beyond soil and sunshine.
When they’re not working on cloud and data projects, Lenore and her pollen-averse husband Cliff attempt to manage a 20×40 garden allotment with no running water and wildly mixed results. Luckily, this pair of dataphiles has something better than gardening talent: real-time telemetry, Raspberry Pis, and an unreasonable willingness to monitor soil moisture like it’s mission control.
This demo-driven session shows how we built an end-to-end IoT pipeline using Fabric Real-Time Analytics to understand and optimize a very analog system: our garden. We’ll cover:
• Building vs. buying IoT sensors to track key garden inputs like sunlight (lux) and soil moisture
• Routing continuous data into Fabric Real-Time Analytics (Eventhouses) and Real-Time Hub
• Exploring real-time data using KQL
• Leveraging Fabric notebooks to incorporate crop requirements data and pollen-tracking APIs
• Creating automated alerts and dashboards to guide decisions and prevent horticultural disaster
While our goals are more kohlrabi than KPIs, garden management often mirrors real-world business challenges. Attendees will learn practical patterns for ingestion, enrichment, and alert creation using Fabric’s real-time data stack—patterns they can reuse across manufacturing, finance, and operational analytics scenarios.
Will this data-driven gardening actually improve yields? Maybe. But we’ll definitely have the telemetry to explain whatever happens. Expect practical guidance, real-world demos, and just enough gardening chaos to keep things interesting.
This demo-driven session shows how we built an end-to-end IoT pipeline using Fabric Real-Time Analytics to understand and optimize a very analog system: our garden. We’ll cover:
• Building vs. buying IoT sensors to track key garden inputs like sunlight (lux) and soil moisture
• Routing continuous data into Fabric Real-Time Analytics (Eventhouses) and Real-Time Hub
• Exploring real-time data using KQL
• Leveraging Fabric notebooks to incorporate crop requirements data and pollen-tracking APIs
• Creating automated alerts and dashboards to guide decisions and prevent horticultural disaster
While our goals are more kohlrabi than KPIs, garden management often mirrors real-world business challenges. Attendees will learn practical patterns for ingestion, enrichment, and alert creation using Fabric’s real-time data stack—patterns they can reuse across manufacturing, finance, and operational analytics scenarios.
Will this data-driven gardening actually improve yields? Maybe. But we’ll definitely have the telemetry to explain whatever happens. Expect practical guidance, real-world demos, and just enough gardening chaos to keep things interesting.
