Blueprints

The first step is always the hardest. Explore blueprints to kick-start your next flow

Data
Build an ETL Pipeline from a REST API Using Python, Polars, and DuckDB
Data
Schedule CloudQuery Data Ingestion into DuckDB for Analytics and Exploration
Data
Run scheduled sales analytics on CSV data with DuckDB and post results to Slack
CoreData
Build governed analytics assets with DuckDB using data lineage, staging, and mart layers
Data
Run dbt transformations on DuckDB from Git for local analytics and ELT
Data
Run dbt ELT pipelines with DuckDB from Git using Docker
Data
Run dbt ELT pipelines on MotherDuck from Git using Docker
Data
Run a scheduled ELT pipeline in Python: extract Chess.com API data and load it into DuckDB with dltHub
Data
Build a Python ELT pipeline to extract Google Analytics data and load it into DuckDB with dlt
Data
Build a Python pipeline to load JSON API data into DuckDB using dlt
Data
Ingest Zendesk data into DuckDB using dlt
Data
Analyze salaries of data professionals using a SQL query in DuckDB, extract the results to a CSV file
Data
Upload data to S3 in Python using boto3, transform it in a SQL query with DuckDB and send a CSV report via email every first day of the month
Data
Extract and transform a Parquet file using DuckDB and export it in Excel format
Data
Register S3 JSON files as governed datasets and curate them with DuckDB
CloudData
Anomaly detection using DuckDB SQL query and S3 file event trigger, sending a CSV file attachment via email if anomalies are detected
CloudData
Extract data, mask sensitive columns using DuckDB and load it to BigQuery
Data
Orchestrate SQLMesh and DuckDB engine
Total: 18

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