wehub-resource-sync
160 lines
4.6 KiB
Plaintext
160 lines
4.6 KiB
Plaintext
---
|
|
title: "Data processing & ETL workflows"
|
|
sidebarTitle: "Data processing & ETL"
|
|
description: "Learn how to use Trigger.dev for data processing and ETL (Extract, Transform, Load), including web scraping, database synchronization, batch enrichment and more."
|
|
---
|
|
|
|
import UseCasesCards from "/snippets/use-cases-cards.mdx";
|
|
|
|
## Overview
|
|
|
|
Build complex data pipelines that process large datasets without timeouts. Handle streaming analytics, batch enrichment, web scraping, database sync, and file processing with automatic retries and progress tracking.
|
|
|
|
## Featured examples
|
|
|
|
<CardGroup cols={3}>
|
|
<Card
|
|
title="Realtime CSV importer"
|
|
icon="book"
|
|
href="/guides/example-projects/realtime-csv-importer"
|
|
>
|
|
Import CSV files with progress streamed live to frontend.
|
|
</Card>
|
|
<Card title="Web scraper with BrowserBase" icon="book" href="/guides/examples/scrape-hacker-news">
|
|
Scrape websites using BrowserBase and Puppeteer.
|
|
</Card>
|
|
<Card
|
|
title="Supabase database webhooks"
|
|
icon="book"
|
|
href="/guides/frameworks/supabase-edge-functions-database-webhooks"
|
|
>
|
|
Trigger tasks from Supabase database webhooks.
|
|
</Card>
|
|
</CardGroup>
|
|
|
|
## Benefits of using Trigger.dev for data processing & ETL workflows
|
|
|
|
**Process datasets for hours without timeouts:** Handle multi-hour transformations, large file processing, or complete database exports. No execution time limits.
|
|
|
|
**Parallel processing with built-in rate limiting:** Process thousands of records simultaneously while respecting API rate limits. Scale efficiently without overwhelming downstream services.
|
|
|
|
**Stream progress to your users in real-time:** Show row-by-row processing status updating live in your dashboard. Users see exactly where processing is and how long remains.
|
|
|
|
## Production use cases
|
|
|
|
<CardGroup cols={1}>
|
|
<Card title="MagicSchool AI customer story" href="https://trigger.dev/customers/magicschool-ai-customer-story">
|
|
|
|
Read how MagicSchool AI uses Trigger.dev to generate insights from millions of student interactions.
|
|
|
|
</Card>
|
|
|
|
<Card title="Comp AI customer story" href="https://trigger.dev/customers/comp-ai-customer-story">
|
|
|
|
Read how Comp AI uses Trigger.dev to automate evidence collection at scale, powering their open source, AI-driven compliance platform.
|
|
|
|
</Card>
|
|
<Card title="Midday customer story" href="https://trigger.dev/customers/midday-customer-story">
|
|
|
|
Read how Midday use Trigger.dev to sync large volumes of bank transactions in their financial management platform.
|
|
|
|
</Card>
|
|
</CardGroup>
|
|
|
|
## Example workflow patterns
|
|
|
|
<Tabs>
|
|
<Tab title="CSV file import">
|
|
Simple CSV import pipeline. Receives file upload, parses CSV rows, validates data, imports to database with progress tracking.
|
|
|
|
<div align="center">
|
|
|
|
```mermaid
|
|
graph TB
|
|
A[importCSV] --> B[parseCSVFile]
|
|
B --> C[validateRows]
|
|
C --> D[bulkInsertToDB]
|
|
D --> E[notifyCompletion]
|
|
```
|
|
|
|
</div>
|
|
</Tab>
|
|
|
|
<Tab title="Multi-source ETL pipeline">
|
|
**Coordinator pattern with parallel extraction**. Batch triggers parallel extraction from multiple sources (APIs, databases, S3), transforms and validates data, loads to data warehouse with monitoring.
|
|
|
|
<div align="center">
|
|
|
|
```mermaid
|
|
graph TB
|
|
A[runETLPipeline] --> B[coordinateExtraction]
|
|
B --> C[batchTriggerAndWait]
|
|
|
|
C --> D[extractFromAPI]
|
|
C --> E[extractFromDatabase]
|
|
C --> F[extractFromS3]
|
|
|
|
D --> G[transformData]
|
|
E --> G
|
|
F --> G
|
|
|
|
G --> H[validateData]
|
|
H --> I[loadToWarehouse]
|
|
```
|
|
|
|
</div>
|
|
</Tab>
|
|
|
|
<Tab title="Parallel web scraping">
|
|
**Coordinator pattern with browser automation**. Launches headless browsers in parallel to scrape multiple pages, extracts structured data, cleans and normalizes content, stores in database.
|
|
|
|
<div align="center">
|
|
|
|
```mermaid
|
|
graph TB
|
|
A[scrapeSite] --> B[coordinateScraping]
|
|
B --> C[batchTriggerAndWait]
|
|
|
|
C --> D[scrapePage1]
|
|
C --> E[scrapePage2]
|
|
C --> F[scrapePageN]
|
|
|
|
D --> G[cleanData]
|
|
E --> G
|
|
F --> G
|
|
|
|
G --> H[normalizeData]
|
|
H --> I[storeInDatabase]
|
|
```
|
|
|
|
</div>
|
|
</Tab>
|
|
|
|
<Tab title="Batch data enrichment">
|
|
**Coordinator pattern with rate limiting**. Fetches records needing enrichment, batch triggers parallel API calls with configurable concurrency to respect rate limits, validates enriched data, updates database.
|
|
|
|
<div align="center">
|
|
|
|
```mermaid
|
|
graph TB
|
|
A[enrichRecords] --> B[fetchRecordsToEnrich]
|
|
B --> C[coordinateEnrichment]
|
|
C --> D[batchTriggerAndWait]
|
|
|
|
D --> E[enrichRecord1]
|
|
D --> F[enrichRecord2]
|
|
D --> G[enrichRecordN]
|
|
|
|
E --> H[validateEnrichedData]
|
|
F --> H
|
|
G --> H
|
|
|
|
H --> I[updateDatabase]
|
|
```
|
|
|
|
</div>
|
|
</Tab>
|
|
</Tabs>
|
|
|
|
<UseCasesCards />
|