About Salesforce Chatter connector
Etlworks Salesforce Chatter connector allows the fastest and easiest way to connect to real-time Salesforce Chatter data. The connector works just like any other database connector.
Etlworks partnered with CData to provide access to Salesforce Chatter using industry-standard JDBC protocol. Read about CData Salesforce Chatter JDBC connector.
When to use Salesforce Chatter connector
Enable the Salesforce Chatter connector for your Etlworks Integrator account. Contact
email@example.com to enable the connector.
Create a Connection
Here's how you can create a Connection in two easy steps:
Step 1. In the
Connections window, click
+, and type in
Step 2. Enter Connection parameters:
Authentication type: select authentication type, either
OAuth authentication (default):
OAuth Token: sign in with SalesForce.
Security token authentication:
User: the email address of the Salesforce user.
Password: the password (do not append security token to the password).
Security Token: the security token. Read what a Salesforce security token is and how to find it.
Other parameters to specify the Connection string options. Read about available Connection string options.
Work with Salesforce Chatter
Salesforce Chatter Data Model
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 Salesforce Chatter
Extracting data from Salesforce Chatter is similar to extracting data from the relational database.
Here's how you can do this:
Step 1. Create Salesforce Chatter 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 Salesforce Chatter 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 Salesforce Chatter data object unconditionally).
Step 8. Optionally define the per-field Mapping.
Step 9. Add more transformations if needed.
Load data in Salesforce Chatter
Loading data in Salesforce Chatter is similar to loading data into a relational database.
Here's how you can do this:
Step 1. Create a source Connection and a Format (if needed).
Step 2. Create a destination Salesforce Chatter 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 Salesforce Chatter
You must have a Salesforce Chatter Connection to browse objects and run SQL queries.
Use the Etlworks Explorer to browse data and metadata in Salesforce Chatter as well as execute
SELECT queries against the Salesforce Chatter Connection.