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Orchestrate personalized email campaigns based on Databricks analytics. Latenode’s visual editor makes it easier to trigger Amazon SES emails based on complex data insights, scale affordably, and customize with JavaScript.
Connect Amazon SES and Databricks in minutes with Latenode.
Create Amazon SES to Databricks workflow
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Create a New Scenario to Connect Amazon SES and Databricks
In the workspace, click the “Create New Scenario” button.
Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Amazon SES, triggered by another scenario, or executed manually (for testing purposes). In most cases, Amazon SES or Databricks will be your first step. To do this, click "Choose an app," find Amazon SES or Databricks, and select the appropriate trigger to start the scenario.
Add the Amazon SES Node
Select the Amazon SES node from the app selection panel on the right.
Amazon SES
Configure the Amazon SES
Click on the Amazon SES node to configure it. You can modify the Amazon SES URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Databricks Node
Next, click the plus (+) icon on the Amazon SES node, select Databricks from the list of available apps, and choose the action you need from the list of nodes within Databricks.
Amazon SES
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Databricks
Authenticate Databricks
Now, click the Databricks node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Databricks settings. Authentication allows you to use Databricks through Latenode.
Configure the Amazon SES and Databricks Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Amazon SES and Databricks Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Databricks
Trigger on Webhook
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Amazon SES
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Amazon SES, Databricks, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Amazon SES and Databricks integration works as expected. Depending on your setup, data should flow between Amazon SES and Databricks (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Databricks + Amazon SES + Slack: When Databricks identifies critical errors via a job run, an email is sent via Amazon SES, and a notification is posted to a designated Slack channel.
Databricks + Amazon SES + PagerDuty: If Databricks detects a system outage by triggering a job run and evaluating the result, trigger an email via SES and a page via PagerDuty.
About Amazon SES
Automate email sending with Amazon SES in Latenode. Send transactional emails, notifications, and marketing campaigns within your automated workflows. Use Latenode's visual editor to connect SES to other apps, add conditional logic, and handle bounces – simplifying email management and scaling your communication flows without coding.
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About Databricks
Use Databricks inside Latenode to automate data processing pipelines. Trigger Databricks jobs based on events, then route insights directly into your workflows for reporting or actions. Streamline big data tasks with visual flows, custom JavaScript, and Latenode's scalable execution engine.
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How can I connect my Amazon SES account to Databricks using Latenode?
To connect your Amazon SES account to Databricks on Latenode, follow these steps:
Can I trigger personalized email campaigns based on Databricks data?
Yes, you can. Latenode simplifies this by automating data extraction from Databricks, triggering personalized Amazon SES emails. Benefit: increased engagement with targeted content, all visually automated.
What types of tasks can I perform by integrating Amazon SES with Databricks?
Integrating Amazon SES with Databricks allows you to perform various tasks, including:
How do I handle Amazon SES bounces and complaints in Latenode?
Latenode's error handling lets you monitor Amazon SES feedback loops, automatically updating user statuses in Databricks, improving deliverability and list hygiene.
Are there any limitations to the Amazon SES and Databricks integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: