Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →How to pipe Oracle HCM Cloud Data to CSV in PowerShell
Use standard PowerShell cmdlets to access Oracle HCM Cloud tables.
The CData Cmdlets Module for Oracle HCM Cloud is a standard PowerShell module offering straightforward integration with Oracle HCM Cloud. Below, you will find examples of using our OracleHCM Cmdlets with native PowerShell cmdlets.
Creating a Connection to Your Oracle HCM Cloud Data
Using Basic Authentication
You must set the following to authenticate to Oracle HCM Cloud:
- Url: The Url of your account.
- User: The user of your account.
- Password: The password of your account.
$conn = Connect-OracleHCM -Url "$Url" -User "$User" -Password "$Password"
Selecting Data
Follow the steps below to retrieve data from the RecruitingCESites table and pipe the result into to a CSV file:
Select-OracleHCM -Connection $conn -Table RecruitingCESites | Select -Property * -ExcludeProperty Connection,Table,Columns | Export-Csv -Path c:\myRecruitingCESitesData.csv -NoTypeInformation
You will notice that we piped the results from Select-OracleHCM into a Select-Object cmdlet and excluded some properties before piping them into an Export-Csv cmdlet. We do this because the CData Cmdlets append Connection, Table, and Columns information onto each "row" in the result set, and we do not necessarily want that information in our CSV file.
The Connection, Table, and Columns are appended to the results in order to facilitate piping results from one of the CData Cmdlets directly into another one.