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with Telegram and Databricks?
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Popular Ways to Connect Telegram with Databricks#
Popular Telegram and Databricks Triggers#
Emit new event each time a Telegram Bot command is received.
Emit new event each time a channel post is created or updated.
Emit new event each time a Telegram message is created or updated.
Popular Telegram and Databricks Actions#
Create an additional invite link for a chat, See the docs for more information
Retrieve the output and metadata of a single task run. See the documentation
Edits photo or video messages. See the docs for more information
Overview of Telegram#
The Telegram Bot API allows you to build bots that can interact with users on the Telegram platform. Using Pipedream, you can automate messaging, handle commands, and trigger actions based on conversations or alerts. Pipedream's serverless execution model enables you to create complex workflows involving Telegram messages without managing any infrastructure. With Pipedream's integration, you can process inbound messages, send outbound notifications, and connect the Telegram Bot API with numerous other services to create powerful automation solutions.
Connect Telegram#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
telegram_bot_api: {
type: "app",
app: "telegram_bot_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.telegram.org/bot${this.telegram_bot_api.$auth.token}/getMe`,
})
},
})
Overview of Databricks#
The Databricks API allows you to interact programmatically with Databricks services, enabling you to manage clusters, jobs, notebooks, and other resources within Databricks environments. Through Pipedream, you can leverage these APIs to create powerful automations and integrate with other apps for enhanced data processing, transformation, and analytics workflows. This unlocks possibilities like automating cluster management, dynamically running jobs based on external triggers, and orchestrating complex data pipelines with ease.
Connect Databricks#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
databricks: {
type: "app",
app: "databricks",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.databricks.$auth.domain}.cloud.databricks.com/api/2.0/clusters/list`,
headers: {
Authorization: `Bearer ${this.databricks.$auth.access_token}`,
},
})
},
})
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