Prepare your device data (IoT DataOps)

All AI/ML use cases start with defining the data requirements (next to defining the objective of the use case) and compiling a set of historical IoT data for training purposes. The IoT data, which is being ingested from the connected devices, machines or equipment is retained in the Operational Store of Cumulocity for a limited amount of time. In order to develop and train AI/ML models, being able to easily access and leverage historical data is essential. For storing your data long-term as well as easy data extraction, we suggest using DataHub which provides you with offloading and data querying capabilities.

Cumulocity DataHub offers an SQL-based Query Interface for querying the data lake and enables you to connect arbitrary applications that support ODBC, JDBC, or REST protocols. As such, you can connect existing tools and applications to Cumulocity, such as:

• Business Intelligence/reporting tools (using ODBC, JDBC)
• Data Science Workbenches (using ODBC, JDBC, python and others)
• Arbitrary custom applications (using JDBC for Java applications, ODBC for .NET, Python, node.js, and others, or REST for web applications

See the DataHub documentation for more information.