Acquire and historicise data into Snowflake using Fivetran

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Cloud has become the default choice for many organisations when they decide to build a data platform or modernise their existing ones. Cloud data platforms are so ubiquitous nowadays that even those with who used to emphasise on imaginary terms such as "vendor lock-in" can't defend building an on-premise platform from scratch anymore. But not … Continue reading Acquire and historicise data into Snowflake using Fivetran

Control IoT Devices Using Scala on Databricks (Based on ML Model Output)

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A few weeks ago I did a talk at AI Bootcamp here in Melbourne on how we can build a serverless solution on Azure that would take us one step closer to powering industrial machines with AI, using the same technology stack that is typically used to deliver IoT analytics use cases. I demoed a … Continue reading Control IoT Devices Using Scala on Databricks (Based on ML Model Output)

Stream IoT sensor data from Azure IoT Hub into Databricks Delta Lake

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IoT devices produce a lot of data very fast. Capturing data from all those devices, which could be at millions, and managing them is the very first step in building a successful and effective IoT platform. Like any other data solution, an IoT data platform could be built on-premise or on cloud. I'm a huge … Continue reading Stream IoT sensor data from Azure IoT Hub into Databricks Delta Lake