SurveySparrow is an online survey tool which permits users to create and distribute customer surveys through multiple channels, along with evaluate responses and it is also an experience management platform on a mission to assists businesses refine experiences end to end Conversational Experience Management Platform that helps you get a 40% better response rate. SurveySparrow supports you measure employee motivation by using surveys specially made for them. One can easily measure how engaged they are and their job satisfaction.
A fully managed data warehouse service in the Amazon Web Services (AWS) cloud, Amazon Redshift is designed for storage and analysis of large-scale datasets. Redshift allows businesses to scale from a few hundred gigabytes to more than a petabyte (a million gigabytes), and utilizes ML techniques to analyze queries, offering businesses new insights from their data. Users can query and combine exabytes of data using standard SQL, and easily save their query results to their S3 data lake.
1. Open the SurveySparrow website and log in to your account.
2. Navigate to the API & Webhooks section under the Integrations tab.
3. Click on the Generate API Key button to create a new API key.
4. Copy the API key to your clipboard.
5. Open the Airbyte website and navigate to the Sources page.
6. Click on the SurveySparrow source connector and then click on the Add button.
7. In the pop-up window, enter a name for the connector and paste the API key in the API Key field.
8. Click on the Test button to verify the connection.
9. If the connection is successful, click on the Save button to save the connector.
10. You can now use the SurveySparrow source connector to extract data from your SurveySparrow account and load it into your destination data warehouse or data lake.
1. First, log in to your Airbyte account and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "Add Destination" button and select "Redshift" from the list of available connectors.
3. Enter your Redshift database credentials, including the host, port, database name, username, and password.
4. Choose the schema you want to use for your data in Redshift.
5. Select the tables you want to sync from your source connector to Redshift.
6. Map the fields from your source connector to the corresponding fields in Redshift.
7. Choose the sync mode you want to use, either "append" or "replace."
8. Set up any additional options or filters you want to use for your sync.
9. Test your connection to ensure that your data is syncing correctly.
10. Once you are satisfied with your settings, save your configuration and start your sync.
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
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Frequently Asked Questions
SurveySparrow's API provides access to a wide range of data related to surveys and responses. The following are the categories of data that can be accessed through SurveySparrow's API:
1. Survey data: This includes information about the surveys created on the platform, such as survey title, description, and status.
2. Response data: This includes information about the responses received for each survey, such as response ID, respondent email, and response timestamp.
3. Question data: This includes information about the questions asked in each survey, such as question type, question text, and answer options.
4. User data: This includes information about the users who have access to the surveys, such as user ID, email, and role.
5. Analytics data: This includes information about the survey performance, such as response rate, completion rate, and average time taken to complete the survey.
6. Integration data: This includes information about the integrations used with SurveySparrow, such as the API key and endpoint URL.
Overall, SurveySparrow's API provides comprehensive access to all the data related to surveys and responses, enabling users to analyze and utilize the data for various purposes.