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Convert JSON → JSON, JSON → Protocol Buffers, CSV → JSON, or apply custom binary transformations.
Beyond just the data itself, you can manage how devices interact with the broker. This helps you identify and disconnect "bad actors" that might be monopolizing resources or sending repetitive, useless messages.
Poor data quality isn't just a technical nuisance; it’s a major business risk. Gartner estimates that organizations lose millions annually due to poor data quality, while other research suggests bad data can cost enterprises up to 30% of their revenue. When rogue data reaches your downstream applications—like AI models or databases—it creates noise, triggers false alerts, and leads to poor decision-making. What is HiveMQ Data Hub? hivemq data hub
| Industry | Application | |----------|-------------| | Manufacturing | Filter out outlier sensor data, aggregate machine telemetry | | Automotive | Normalize CAN bus data to cloud-friendly JSON | | Smart Buildings | Convert BACnet to MQTT, enforce occupancy rules | | Energy | Drop negative power readings, calculate rolling averages | | Healthcare | Anonymize patient IDs before forwarding to analytics |
These act as blueprints for incoming messages. HiveMQ Data Hub supports popular formats like JSON Schema and Protobuf to ensure that message payloads follow a specific structure. Convert JSON → JSON, JSON → Protocol Buffers,
Enables the creation of stateful data pipelines. This allows the Data Hub to perform calculations over time, such as calculating a moving average for temperature sensors to smooth out noise.
Provides no-code modules for specific industrial standards like Sparkplug , speeding up the integration of OT (Operational Technology) systems with IT infrastructure. Business Benefits Poor data quality isn't just a technical nuisance;
Speed up deployment with no-code modules like the Sparkplug Module , which simplifies shop floor data streaming and converts complex binary payloads into human-readable JSON in real-time. Real-World Impact
In the world of IoT, data is often called the "new oil," but it's more like crude oil—valuable only if it's refined. Organizations today face a massive challenge: as they scale from hundreds to millions of connected devices, the risk of "bad data" (malformed, incomplete, or rogue messages) polluting their systems skyrockets.