👨‍💻 Week 8: Destinations in dlt This week we explored destinations — the final stop where your data lands. With dlt, destinations can be databases (DuckDB, Postgres, BigQuery, Snowflake), cloud storage, or even custom APIs. What we covered: ✅ Declare destinations in 3 simple ways ✅ Configure credentials via TOML, env vars, or secrets ✅ Inspect and adjust destination capabilities ✅ Run extract → normalize → load in stages ✅ Handle naming conventions & case sensitivity ✅ Create a custom reverse-ETL destination 📦 Link :https://www.linkedin.com/posts/mahadi-nagassou-850a87254_week-8-of-learning-in-public-with-dlthub-activity-7377296988062588928-4WWy?utm_medium=ios_app&rcm=ACoAAD7Os_wBFAAF1g7fKTnQFhj7G6uWNYukvWw&utm_source=social_share_send&utm_campaign=copy_link