IoTdatan

IoTdatan is an integrated framework intended to facilitate the collection, standardization, and analysis of data generated by Internet of Things devices. It aims to define a common data model and supporting tools that enable interoperability among devices, gateways, and cloud platforms while emphasizing security, privacy, and governance. The goal is to reduce fragmentation across IoT ecosystems and to streamline analytics, visualization, and decision-making.

The architecture of IoTdatan is modular and layer-based. It includes an ingestion layer with connectors for common protocols such as MQTT, CoAP, and HTTP; an edge processing layer for local filtering and aggregation; a central data catalog and governance layer that tracks data lineage, access policies, and quality metrics; and analytics and visualization tools for exploring streams and stored data. The framework supports both streaming and batch processing and is designed to operate across on-premises gateways and cloud environments.

IoTdatan provides a standardized data model that includes entities such as Device, Sensor, Reading, Location, and Event, with extensible metadata to capture device capabilities, units, and provenance. Data can be stored in formats including JSON, Avro, or Parquet, and the system supports schema registries to promote versioning and backward compatibility. Interoperability with established IoT protocols and data formats is a central design principle.

Applications of IoTdatan span industrial automation, environmental monitoring, smart city services, and supply chain tracking. As an open-standard and community-driven project, IoTdatan encourages shared tooling, documentation, and governance policies while remaining neutral about vendor-specific implementations. See also Internet of Things, data governance, edge computing.