Integrate the Zendesk API with the Microsoft SQL Server API

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

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Popular Ways to Connect Zendesk with Microsoft SQL Server#

Create Ticket with Zendesk API on New Column from Microsoft SQL Server API

Microsoft SQL Server + Zendesk

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Create Ticket with Zendesk API on New Or Updated Row from Microsoft SQL Server API

Microsoft SQL Server + Zendesk

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Delete Ticket with Zendesk API on New Column from Microsoft SQL Server API

Microsoft SQL Server + Zendesk

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Delete Ticket with Zendesk API on New Or Updated Row from Microsoft SQL Server API

Microsoft SQL Server + Zendesk

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Execute Query with Microsoft SQL Server API on New Ticket (Instant) from Zendesk API

Zendesk + Microsoft SQL Server

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Popular Zendesk and Microsoft SQL Server Triggers#

New Ticket (Instant) from the Zendesk API

Emit new event when a ticket is created

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New Ticket Added to View (Instant) from the Zendesk API

Emit new event when a ticket is added to the specified view

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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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Ticket Closed (Instant) from the Zendesk API

Emit new event when a ticket has changed to closed status

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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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Popular Zendesk and Microsoft SQL Server Actions#

Create Ticket with the Zendesk API

Creates a ticket. 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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Delete Ticket with the Zendesk API

Deletes a ticket. See the documentation.

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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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Insert Row with the Microsoft SQL Server API

Inserts a new row in a table. See the documentation

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Overview of Zendesk#

The Zendesk API enables seamless integration of Zendesk's customer service platform with your existing business processes and third-party applications. By leveraging this API with Pipedream, you can automate ticket tracking, sync customer data, escalate issues, and streamline communication across multiple channels. This can significantly increase efficiency, accelerate response times, and enhance the overall customer experience. Automations can range from simple notifications to complex workflows involving data transformation and multi-step actions across various services.

Connect Zendesk#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zendesk: {
      type: "app",
      app: "zendesk",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.zendesk.$auth.subdomain}.zendesk.com/api/v2/users/me/`,
      headers: {
        Authorization: `Bearer ${this.zendesk.$auth.oauth_access_token}`,
      },
    })
  },
})

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#

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()`
  },
})

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