Microsoft SQL Server

Unleash the power of your data—on-premises, in the cloud, or at the edge—and reveal insights to transform your business.

Integrate the Microsoft SQL Server API with the Amazon SES API

Setup the Microsoft SQL Server API trigger to run a workflow which integrates with the Amazon SES API. Pipedream's integration platform allows you to integrate Microsoft SQL Server and Amazon SES remarkably fast. Free for developers.

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Create Email Template with Amazon SES API on New Column from Microsoft SQL Server API
Microsoft SQL Server + Amazon SES
 
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Create Email Template with Amazon SES API on New Or Updated Row from Microsoft SQL Server API
Microsoft SQL Server + Amazon SES
 
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Get Email Template with Amazon SES API on New Column from Microsoft SQL Server API
Microsoft SQL Server + Amazon SES
 
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Get Email Template with Amazon SES API on New Or Updated Row from Microsoft SQL Server API
Microsoft SQL Server + Amazon SES
 
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Send Email with Amazon SES API on New Column from Microsoft SQL Server API
Microsoft SQL Server + Amazon SES
 
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New Column from the Microsoft SQL Server API

Triggers when a new column is added to a table. See the documentation

 
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New Or Updated Row from the Microsoft SQL Server API

Triggers when a new row is added or an existing row is updated. See the documentation

 
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Execute Query with the Microsoft SQL Server API

Executes a SQL query and returns the results. See the documentation

 
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Create Email Template with the Amazon SES API

Create a HTML or a plain text email template. See the docs

 
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Execute SQL Query with the Microsoft SQL Server API

Execute a custom SQL query. See our docs to learn more about working with SQL in Pipedream.

 
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Get Email Template with the Amazon SES API

Get an email template. See the docs

 
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Insert Row with the Microsoft SQL Server API

Inserts a new row in a table. See the documentation

 
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Overview of Microsoft SQL Server

With the Microsoft SQL Server API on Pipedream, you can automate your database operations and create powerful integrations. This API allows you to execute queries, manage databases, and trigger actions based on data changes. Implementing workflows that react to database events, manipulate data, or synchronize SQL Server data with other services, becomes effortless with Pipedream's serverless platform.

Connect Microsoft SQL Server

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import sql from "mssql"
export default defineComponent({
  props: {
    microsoft_sql_server: {
      type: "app",
      app: "microsoft_sql_server",
    }
  },
  async run({steps, $}) {
    const { host, username, password, port, database, encrypt,trustServerCertificate } = this.microsoft_sql_server.$auth
    const conn_str = `Server=${host},${port};Database=${database};User Id=${username};Password=${password};Encrypt=${encrypt};TrustServerCertificate=${trustServerCertificate}`;
    await sql.connect(conn_str);
    return await sql.query`SELECT GETDATE()`
  },
})

Overview of Amazon SES

Amazon Simple Email Service (SES) is a powerful cloud-based email sending service designed to help digital marketers and application developers send marketing, notification, and transactional emails. With the SES API, you can reliably send emails at scale, manage sender reputations, view email sending statistics, and maintain a high deliverability rate. Leveraging Pipedream's capabilities, you can integrate SES seamlessly into serverless workflows, automate email responses based on triggers from other apps, and analyze the effectiveness of your email campaigns by connecting to data analytics platforms.

Connect Amazon SES

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module.exports = defineComponent({
  props: {
    amazon_ses: {
      type: "app",
      app: "amazon_ses",
    }
  },
  async run({steps, $}) {
    const AWS = require("aws-sdk")
    const { accessKeyId, secretAccessKey } = this.amazon_ses.$auth
    
    const ses = new AWS.SES({
      accessKeyId, 
      secretAccessKey,
      region: 'us-east-1',
    })
    
    const sesParams = {
      Destination: {
        ToAddresses: ["<your email here>"],
      }, 
      Message: {
        Body: {
          Html: {
            Charset: "UTF-8", 
            Data: "<h1>This is a test</h1>",
          }, 
            Text: {
            Charset: "UTF-8", 
            Data: "This is a test",
          }
        }, 
        Subject: {
          Charset: "UTF-8", 
          Data: "Test email",
        }
      },
      Source: "<your from address here", 
    };
    
    this.resp = await ses.sendEmail(sesParams).promise()
  },
})

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