Overview of Data Registry¶

Data Contextualization application in Insights Hub makes it possible to contextualize data across different data sources and derive meaningful insights from the data.

Data Registry feature enables the user to register a data source. For more information on how to create a Data Registry, refer Creating a Data Registry.

Data Registries are classified into two types:

• Enterprise Data Registry: Enterprise Data Registry is used to represent the unstructured enterprise data. Enterprise Data Registry enables a user to create a registry and initiate the schema discovery process by uploading files in the Integrated Data Lake. The user can tag the files in Integrated Data Lake to indicate the associated files to a specific Data Registry. For more information on creating Enterprise Data Registry, refer the chapter Creating Enterprise Data Registry. The process involved in enterprise Data Registries are:
  

  • Enterprise Data Registry Creation
  • Enterprise Data Registry File upload

• IoT Data Registry: IoT Data Registry is used to represent an Industrial IoT data source. IoT Data Registry enables a user to create a registry and initiate the process by importing data into Integrated Data Lake. For more information on creating IoT Data Registry, refer the chapter Creating IoT Data Registry. The process involved in enterprise Data Registries are:
  

  • IoT Data Registry Creation
  • IoT Data Registry File upload