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CONNECT EAP

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Data store workflow

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  • Last UpdatedAug 17, 2026
  • 2 minute read

This topic describes the recommended workflow for getting data into a data store: provisioning a data store instance through site creation, establishing a data connection from your source, verifying data is flowing, and then using platform services to read and model that data.

  1. Create a site to provision a data store

    Provision a data store by creating the first site for a geography.

    A data store is a group of related service instances that store different data types (streams, entities, and events) within a geography tied to real-world operating boundaries. The first time that you provision a site within a geography, CONNECT provisions a data store along with it. Any additional sites created in the geography use the data store provisioned when the geography's first site is created.

    For instructions on creating a site, see either Create your first site or Create additional sites.

  2. Create a data connection

    Create a data connection that ingresses industrial data into a target data store using the Data Connection wizard, which walks you through the process of creating a data connection using either an AVEVA agent or an agentless system connection that writes data to the data store. When you create a data connection, the wizard generates a dedicated client-credential client to authenticate with CONNECT (with the secret shown only once).

    For instructions see Create a data connection.

  3. Read and write data

    After you create the data connection, the infrastructure is in place for your agent or system connection to start writing data to the data store. There’s no additional setup step in this workflow. Allow time for data points to be ingressed. To confirm ingestion has started, browse to the streams created by the data connection and check that recent data points are appearing. If no data is available yet, wait until data points are written to the data store and then check again.

  4. Perform data modeling and visualization

    After the data connection has written enough data points to the data store, you can begin modeling. Use platform services and applications to read and shape the data for your needs. For example: building visualizations, running analytics, or preparing the data for downstream workflows.