Install Data Engineering Integration on Docker with the Container Utility (10.4.0 - 10.4.1)

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Model Repository

Create a Model repository to store information about the metadata for the data objects and mappings in a relational database. If you want to generate monitoring statistics, you must create a dedicated monitoring Model repository to store run-time monitoring statistics.

You can create the Model repository and the monitoring Model repository in one of the following databases:

Oracle: Complete the following tasks to prepare an Oracle database for the Model repository and for the monitoring Model repository or to create a container database:
Create the database with the required parameters, allowing for 200 MB of disk space.
Set up database user accounts.
Install compatible versions of the Oracle client and Oracle database server. You must also install the same version of the Oracle client on all machines that require it.
PostgreSQL: Complete the following tasks to prepare a PostgreSQL database for the Model repository and for the monitoring Model repository or to create a container database:
Create the database with the required parameters, allowing for 200 MB of disk space.
Set up database user accounts.; You do not need to install the PostgreSQL client software, as the installer bundles it with the image.
Microsoft SQL Server: Complete the following tasks to prepare a Microsoft SQL Server database for the Model repository and for the monitoring Model repository or to create a container database:
Create the database with the required parameters, allowing for 200 MB of disk space.
Set up database user accounts.
Download the Microsoft SQL Server client and install it on all machines that require it.

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Install Data Engineering Integration on Docker with the Container Utility (10.4.0 - 10.4.1)

Install Data Engineering Integration on Docker with the Container Utility (10.4.0 - 10.4.1)

Model Repository

Model Repository