The Lyftrondata Provider for Act-On offers the most natural way to access Act-On data from Lyftrondata with ease and also enables to connect with BI, MDM & ML tools, Data warehouses, Databases and other SAAS based applications with zero code and zero infrastructure requirements. The provider wraps the complexity of accessing Act-On data into easy-to-integrate relational fully managed ANSI Sql format. Make faster and better business decisions with Lyftrondata’s Act-On data provider and automatically build your data migration pipelines in minutes, not months
The provider hides the complexity of accessing data and provides additional powerful security features, smart caching, batching, socket management, and more.
- Comprehensive Delta load mechanism.
- Real-time access to Act-On.
- Comprehensive full support of ANSI Sql to query data with ease.
- Collaborative query processing.
The user must have credentials for Act-On, Lyftrondata and your destination data warehouse, lake or database to perform the data pipeline operation with Lyftrondata
Establishing a Connection with Lyftrondata's Quickstart Steps
Create your Act-On connection with Lyftrondata by following the 5 easy steps show below:
Step1. Add your connection
Click on Connect section on the left panel → Click on Add Connection button
Step2. Select your connector
In the connector selection panel, search and click Act-On for your connection
Step3. Enter your connection details
In the Connection String section enter the values of the below parameters. The following connection string is required to establish Act-On connection with Lyftrondata."InitiateOAuth=GETANDREFRESH;OAuthClientId=MyOAuthClientId;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:80"
|Connection Name||Enter your connection details||Required|
|OAuthClientId||Your Act-On OAuthClientId||Required|
|OAuthClientSecret||Your Act-On OAuthClientSecret||Required|
|Logfile**||Use the logfile option to debug your job and provide your connection name to generate the log file. [ConnectionConfigurationPath]\Connection_name_log.tx||Optional|
|Verbosity**||Choose verbosity 1-5 based on the severity of debugging||Optional|
** For more information, check the Lyftrondata logging and debugging section.
If you want more detailed information about how to establish a connection with Lyftrondata, click on Lyftrondata Connection Quick Start guide.
Step4. Test your connection
Once you are done entering your connection details, simply click on the Test Connection button to test the connectivity. In case your connection fails, add Logfile and Verbosity parameters and check the Lyftrondata logging and debugging section, to debug the error.
Step5. Save your connection
Views are composed of columns and pseudo columns. Views are similar to tables in the way that data is represented; however, views do not support updates. Entities that are represented as views are typically read-only entities. Often, a stored procedure is available to update the data if such functionality is applicable to the data source.
Queries can be executed against a view as if it were a normal table, and the data that comes back is similar in that regard.
|Campaigns||Views||Query the available campaigns ActOn.|
|Categories||Views||Query the available categories of subscription in ActOn.|
|DrilldownReports||Views||Query detailed reports about messages in ActOn.|
|Images||Views||Query the available images on your ActOn account.|
|Media||Views||Query the available media on your ActOn account.|
|Messages||Views||Query the available messages in ActOn.|
|OtherLists||Views||Query the hardbounce, spam complaint and optout lists on ActOn.|
|Programs||Views||Query the available programs on ActOn.|
|Reports||Views||Query the available reports in ActOn.|
|ReportsByPeriod||Views||Query the reports related to messages in ActOn.|
|ScoreDetails||Views||Query the score details of a contact.|
|SubscriptionOptOuts||Views||Query the available subscriptions in ActOn.|
|Users||Views||Query the email senders for the current account in ActOn.|