Vitally is a customer engagement platform for B2B SaaS companies to drive a world-class customer experience and eliminate churn. Our easy-to-use platform integrates all your customer data and provides a 360 degree view into the metrics that matter most to you, allows you to set up health scores and notifications, and create powerful automationplaybooks.
An AWS Data Lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. It is designed to handle massive amounts of data from various sources, such as databases, applications, IoT devices, and more. With AWS Data Lake, you can easily ingest, store, catalog, process, and analyze data using a wide range of AWS services like Amazon S3, Amazon Athena, AWS Glue, and Amazon EMR. This allows you to build data lakes for machine learning, big data analytics, and data warehousing workloads. AWS Data Lake provides a secure, scalable, and cost-effective solution for managing your organization's data.
1. First, navigate to the Vitally source connector page on Airbyte.com.
2. Click on the "Create a new connection" button.
3. Enter a name for your connection and click "Next".
4. Enter your Vitally API key in the "API Key" field.
5. Click "Test" to ensure that the connection is successful.
6. If the test is successful, click "Next".
7. Select the tables you want to replicate from Vitally.
8. Click "Create connection" to finalize the setup.
9. Once the connection is created, you can run a sync to start replicating data from Vitally to your destination.
10. You can also schedule regular syncs to keep your data up-to-date.
Note: It is important to ensure that your Vitally API key has the necessary permissions to access the data you want to replicate. For more information on Vitally API keys, refer to the Vitally documentation.
1. Log in to your AWS account and navigate to the AWS Management Console.
2. Click on the S3 service and create a new bucket where you will store your data.
3. Create an IAM user with the necessary permissions to access the S3 bucket. Make sure to save the access key and secret key.
4. Open Airbyte and navigate to the Destinations tab.
5. Select the AWS Datalake destination connector and click on "Create new connection".
6. Enter a name for your connection and paste the access key and secret key you saved earlier.
7. Enter the name of the S3 bucket you created in step 2 and select the region where it is located.
8. Choose the format in which you want your data to be stored in the S3 bucket (e.g. CSV, JSON, Parquet).
9. Configure any additional settings, such as compression or encryption, if necessary.
10. Test the connection to make sure it is working properly.
11. Save the connection and start syncing your data to the AWS Datalake.
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
Vitally's API provides access to a wide range of data related to customer success and engagement. The following are the categories of data that can be accessed through Vitally's API:
1. Account Data: This includes information about the customer's account, such as account name, account ID, and account status.
2. User Data: This includes information about the users associated with the account, such as user name, user ID, and user role.
3. Activity Data: This includes information about the activities performed by the users, such as login activity, feature usage, and engagement metrics.
4. Support Data: This includes information about the customer support interactions, such as support tickets, chat logs, and email conversations.
5. Health Data: This includes information about the health of the customer account, such as usage trends, churn risk, and renewal probability.
6. Feedback Data: This includes information about the customer feedback, such as survey responses, NPS scores, and customer reviews.
Overall, Vitally's API provides a comprehensive set of data that can be used to gain insights into customer behavior, engagement, and satisfaction, and to optimize customer success strategies.