ELT for AEMET weather data.

The code to follow along our tutorials for the dlt rest_api source

This repository demonstrates the use of the dlt (data load tool) library to extract cryptocurrency data from the CoinMarketCap API and load it into a DuckDB database.

DLT (www.github.com/dlt-hub/dlt) source for Morphais (www.morphais.com)

📊 Data Portfolio showcasing projects in Business Intelligence, Data Warehousing, Data Analysis, and Data Engineering.

DLT (www.github.com/dlt-hub/dlt) source for Personio (www.notion.com)

an implementation of an Ingestion framework for lakehouses using dagster, dlthub, slingdata, trino, dremio and minio

DLT (www.github.com/dlt-hub/dlt) Source for Affinity (www.affinity.co)

Illustrates how to use dlt (data load tool) in combination with newsapi (source), aws s3 (destination) and duckDB (local testing)

DLT (www.github.com/dlt-hub/dlt) source for Personio (www.personio.com)

DLT (www.github.com/dlt-hub/dlt) source for Slack (www.slack.com)

Dummy api to explore dlt rest api. has authentication, pagination and filtering enabled

DLT (www.github.com/dlt-hub/dlt) source for airtable (www.airtable.com)

trying dlt basic example

This project is a python-based data pipeline that integrates with the spotify web API to extract and analyze artist-related data. It provides functionality to search for artists by name, retrieve their top tracks in a specific country such as kenya, and load the data into a temporary database for analysis.

An open source sandbox project exploring analytics engineering dev tools and best practices.

Tutorial práctico de ingesta de datos que demuestra diferentes estrategias usando como caso de estudio un sistema de formación corporativa. El tutorial cubre: - Carga completa, incremental y CDC - Integración con APIs (HubSpot) - Múltiples destinos (DuckDB, PostgreSQL) - Documentación paso a paso

Data pipeline to study trends and rising prices in NYC taxi since post-Covid times

Self-paced dlt Fundamentals Course

A Python dependency executor that builds and executes DAGs efficiently, optimizing workflows with concurrency and flexibility. Perfect for managing complex dependent tasks effortlessly.