Coming Soon: Mastering Data Integrity with HiveMQ's Data Hub

Dive into the capabilities of HiveMQ's Data Hub, a platform designed to set and enforce MQTT data standards. Seamlessly integrated into the HiveMQ ecosystem, the Data Hub offers APIs and UIs that empower engineers to automate procedures, ensuring top-tier data quality in real-time.

MQTT's inherent versatility allows any data format to navigate through the broker. The Data Hub introduces a groundbreaking solution with policies. These declarative specifications, crafted by developers and SREs, are enforced by a robust policy engine, guaranteeing data consistency.

In this course, we will cover key features of the Data Hub Policy Engine including:

Data Policies: By defining data schemas, such as JSONSchema or Protobuf, the Data Hub ensures only valid data passes the broker. This guarantees consumers receive data in the expected format and offers tools to monitor and rectify inconsistencies.

Behavioral Policies: The Data Hub ensures devices adhere to MQTT specifications, observing and rectifying deviations. A new scripting engine allows for tailored behaviors using concise JavaScript functions.

Scripting & Data Transformation: The Data Hub's scripting capabilities enable real-time data transformation as it moves through the broker, catering to diverse use cases like unit conversion.

In essence, HiveMQ's Data Hub serves as a guardian for MQTT data, setting processing guidelines, enforcing device behaviors, and transforming data on-the-fly. This course will equip participants with the expertise to harness the full potential of the Data Hub, ensuring consistent and reliable MQTT data pipelines.