DataSet

Limitless enterprise infrastructure for live data queries, analytics, insights, and retention. No data schema requirements. Index-free. Blazing fast. The technology of choice for engineering, DevOps, IT, and security teams to unlock the power of data.

Integrate the DataSet API with the Schedule API

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

Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

 
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Daily schedule from the Schedule API

Trigger your workflow every day.

 
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Monthly Schedule from the Schedule API

Trigger your workflow on one or more days each month at a specific time (with timezone support).

 
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Weekly schedule from the Schedule API

Trigger your workflow on one or more days each week at a specific time (with timezone support).

 
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Connect DataSet

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dataset: {
      type: "app",
      app: "dataset",
    }
  },
  async run({steps, $}) {
    const data = {
      "token": `${this.dataset.$auth.access_key}`,
    }
    return await axios($, {
      method: "post",
      url: `https://app.scalyr.com/api/listUsers`,
      headers: {
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

Overview of Schedule

With Schedule - A trigger provided by Pipedream - You can easily build
automated workflows that run on regular times or intervals. Some examples of
things that you can build using the Schedule API include:

  • Automated data retrieval from a third-party service, like pulling stats from
    your Salesforce account on a set schedule.
  • Uploading new data sets to a database with a predetermined interval.
  • Automatic emails to customers or leads at a certain time of the day.
  • Automating data analysis based on a set schedule.
  • Automatically optimizing social media postings according to a specified
    timeline.
  • Updating webpages at a certain interval with newly available content.
  • Re-running reports on a periodic basis.
  • Refreshing a cache of data at a given frequency.