Access Live Oracle Data in Excel (Desktop) via Connect AI

Microsoft Excel is a widely used spreadsheet software application, primarily used for tasks related to data management, analysis, and visualization. When combined with CData Connect AI, you gain immediate access to Oracle data directly within Excel, facilitating data analysis, collaboration, calculations, and more.This article shows how to connect to Oracle in your Connect AI instance and access and update live Oracle data in Excel spreadsheets.

CData Connect AI provides a pure cloud-to-cloud interface for Oracle, allowing you to easily access live Oracle data in Excel for the web. Simply use the Connect AI Add-In to query live data (or write your own). Using optimized data processing out of the box, CData Connect AI pushes all supported query operations (filters, JOINs, etc) directly to Oracle, leveraging server-side processing to quickly return Oracle data.

Configure Oracle Connectivity for Excel

Connectivity to Oracle from Excel is made possible through CData Connect AI. To work with Oracle data from Excel, we start by creating and configuring a Oracle connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "Oracle" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Oracle.

   To connect to Oracle, you'll first need to update your PATH variable and ensure it contains a folder location that includes the native DLLs. The native DLLs can be found in the lib folder inside the installation directory. Once you've done this, set the following to connect:

   • Port: The port used to connect to the server hosting the Oracle database.
   • User: The user Id provided for authentication with the Oracle database.
   • Password: The password provided for authentication with the Oracle database.
   • Service Name: The service name of the Oracle database.
   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Oracle Connection page and update the User-based permissions. 👁 Updating permissions
   

With the connection configured, you are ready to connect to Oracle data from Excel.

Access Live Oracle Data in Excel

The steps below outline connecting to CData Connect AI from Excel to access live Oracle data.

1. Open Excel, create a new sheet (or open an existing one).
2. Click Insert and click Get Add-ins. (if you have already installed the Add-In, jump to step 4).
3. Search for CData Connect AI Add-In and install the Add-in. 👁 Install the Add-In
   
4. Click Data and open the CData Connect AI Add-In.
5. In the Add-In panel, click Authorize to authenticate with your CData Connect AI instance 👁 Authorizing the Add-In
   
6. In the CData Connect AI panel in Excel, click Import 👁 CData Connect AI panel in Excel
   
7. Choose a Connection (e.g. OracleOCI1), Table (e.g. Customers), and Columns to import 👁 CData Connect AI panel in Excel
   
8. Optionally add Filters, Sorting, and a Limit 👁 Choosing a Connection, Table, and Columns
   
9. Click Execute to import the data 👁 Executing the Query
   

Update Oracle Data from Excel

In addition to viewing Oracle data in Excel, CData Connect AI also lets you update and delete Oracle data. Begin by importing data (as described above).

1. Update any cell or cells with changes you want to push to Oracle (your changes will be in red)
2. In the CData Connect AI Add-In panel, select Update
3. Optionally highlight the cell(s) you wish to update and select an update option ("Update All" or "Update Selected") 👁 Executing the update (Salesforce is shown).
   
4. Click Execute to push the updates to Oracle, and a notification will appear when the update is complete

Live Access to Oracle Data from Cloud Applications

Now, you have a direct, cloud-to-cloud connection to live Oracle data from your Excel workbook. You can add more data to your workbook for calculations, aggregations, collaboration, and more.

👁 Imported data (Salesforce is shown)


Try CData Connect AI and get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications.