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EXAMPLE QUESTIONS
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175 Blueprints
Pull Stripe balance and Shopify orders every morning, write them to a Notion page, and ping Slack.
Build a RAG chat-with-your-data flow that retrieves answers from Elasticsearch and generates grounded responses with OpenAI.
Extract Cassandra data with CQL, serialize it to CSV, and load it into Google BigQuery for analytics.
Build governed staging and mart data assets with DuckDB while Kestra captures end-to-end lineage automatically.
Bulk load a CSV file into PostgreSQL with the native COPY protocol for fast, reliable ETL ingestion.
Cache an expensive extract task with taskCache and join the data in DuckDB to compute profit per transaction.
Chain dbt Cloud staging, marts, and exposures jobs into one dependency-aware pipeline with Slack alerts.
Bulk-load real-time events into ClickHouse with asynchronous inserts, keep an hourly rollup current via a materialized view, and force TTL-based cleanup on every run.
An end-to-end extract, transform, load pipeline that pulls JSON from an API, cleans it in Python, and aggregates it with DuckDB.
Run the dbt Cloud CI job, pause for human approval, then run the production job and report to Slack.
Build and test dbt Core on a CI target, pause for human approval, then build the production target only after sign-off.
Download a CSV from any public URL and bulk-load it into PostgreSQL using the fast native COPY protocol.
Query a Couchbase NoSQL bucket with N1QL and reshape the results in Python with Pandas, all in one orchestrated flow.
Check BigQuery for fresh source rows and submit a Dataproc Serverless PySpark batch only when the data is ready.
Orchestrate the GCS to Dataproc to BigQuery lakehouse chain in one flow, with a serverless PySpark transform and a gold table load.
Generate realistic mock JSON records with DataGen and bulk-load them straight into a MongoDB collection.
Sync AWS resource metadata into Postgres with CloudQuery, then flag public S3 buckets with SQL.
Scrape JS-rendered competitor pricing pages nightly with headless Chrome via Puppeteer, diff against a KV-stored snapshot, and alert Slack only when a price changes.
Run a Databricks SQL query against your lakehouse, export the results to CSV, and analyze them in Python with Pandas.
Submit a Spark job to Dataproc Serverless on a schedule, with no cluster to manage and cost that tracks the work.
Clone a dbt project from Git and run dbt build against Google BigQuery inside a container, with full logging and version control.
Query a remote CSV with DuckDB on a weekly schedule and post the sales metrics straight to Slack.
Run a daily CloudQuery sync that extracts external API data and loads it into DuckDB for analytics, with built-in scheduling and retries.
Trigger a Dagster job from Kestra, wait for completion, and stamp every run with Kestra lineage tags.