About Oracle Sales Cloud connector
Etlworks Oracle Sales Cloud connector allows the fastest and easiest way to connect to real-time Oracle Sales Cloud data. The connector works just like any other database connector.
Etlworks partnered with CData to provide access to Oracle Sales Cloud using industry-standard JDBC protocol. Read about CData Oracle Sales Cloud JDBC connector.
When to use Oracle Sales Cloud connector
Enable the Oracle Sales Cloud connector for your Etlworks Integrator account. Contact
firstname.lastname@example.org to enable the connector.
Create a Connection
You can create a Connection in just two steps, and they are the following:
Step 1. In the
Connections window, click
+, and type in
oracle sales cloud.
Step 2. Enter the Connection parameters:
Host URL: the host URL in the Format
User: the user name.
Password: the password.
Other Parameters to specify the Connection string options. Read about available Connection string options.
Work with Oracle Sales Cloud
Oracle Sales Cloud Online Data Model
The connector models the Oracle Sales Cloud objects as relational tables. Tables support both retrieving and updating data.
You can work with all the tables in your account. The driver connects to Oracle Sales Cloud and gets the list of tables and the metadata for the tables by calling the appropriate Web services. Any changes you make to your Oracle Sales Cloud account, such as adding a new table, adding new columns, or changing the data type of a column, will immediately be reflected when you use the driver to connect.
Read about the data model.
The connector supports several operations on data, including querying, deleting, modifying, and inserting.
Read about SQL Compliance.
Extract data from Oracle Sales Cloud
Extracting data from Oracle Sales Cloud is similar to extracting data from the relational database.
Here are the steps on how you can extract data from Oracle Sales Cloud:
Step 1. Create Oracle Sales Cloud Connection which will be used as a source (
Step 3. Create a Flow where the
source is a database and the destination is a Connection created in step 2, for example, a relational database.
Step 4. Add a new source-to-destination transformation.
Step 5. Select the Oracle Sales Cloud Connection created in step 1 as a source Connection and select the data object you are extracting data from.
Step 6. Select
TO Connection, Format (if needed), and object (for example, database table) to load data into.
Step 7. Click
MAPPING and optionally enter
Source query (you don't need a query if you are extracting data from the Oracle Sales Cloud data object unconditionally).
Step 8. Optionally define the per-field Mapping.
Step 9. Add more transformations if needed.
Load data in Oracle Sales Cloud
Loading data in Oracle Sales Cloud is similar to loading data into a relational database.
Here are the steps on how you can load data in Oracle Sales Cloud:
Step 1. Create a source Connection and a Format (if needed).
Step 2. Create a destination Oracle Sales Cloud Connection.
Step 3. Create a Flow where the destination is a database.
Step 4. Add new source-to-destination transformation.
Step 5. Select
TO Connections and objects (also a
FROM Format, if needed).
Step 6. Optionally define the per-field Mapping.
Step 7. Add more transformations if needed.
Browse data in Oracle Sales Cloud
You must have Oracle Sales Cloud Connection to browse objects and run SQL queries.
Use the Etlworks Explorer to browse data and metadata in Oracle Sales Cloud as well as execute
SELECT queries against the Oracle Sales Cloud Connection.