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@pipedream/dataset

v0.0.3

Published

Pipedream DataSet Components

Vulnerabilities

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Links

Maintainers

sacerdotisacerdoticasretcasrettjktjkadolfo-pdadolfo-pddanpipedreamdanpipedreamjasonatpipedreamjasonatpipedreamalan-pipedreamalan-pipedream

Keywords

pipedreamdataset

Readme

Overview

The DataSet API enables you to manage and analyze large datasets. With Pipedream's integration, you can automate data ingestion, transformation, and analysis, create serverless workflows that respond to data events, and connect with other apps to enrich and utilize your datasets. Utilize Pipedream's serverless platform to trigger workflows, perform actions based on DataSet events, and orchestrate complex data processes with minimal setup.

Example Workflows

  • Data Enrichment and Analysis Workflow: Ingest raw data from various sources into DataSet using Pipedream's HTTP / Webhook triggers. Transform and enrich the data by integrating with apps like Clearbit for adding company information. Analyze enriched data within DataSet and send insights to a Slack channel for real-time decision-making.

  • Automated Data Backup Workflow: Schedule regular backups of your DataSet data to cloud storage platforms like Google Drive or Dropbox using Pipedream’s cron job feature. This can ensure data redundancy and safety, creating a historical archive of your dataset changes over time.

  • Real-time Alerts and Monitoring Workflow: Monitor your DataSet for specific changes or thresholds using Pipedream's scheduled tasks. When a particular condition is met, trigger notifications through apps like Twilio to send SMS alerts or use SendGrid to dispatch email notifications, keeping relevant stakeholders informed instantly.