Next Steps
Over the past modules you progressed from a quick notebook prototype to a durable data pipeline that lands records in MotherDuck and a vector store. Along the way you learned how to keep credentials secure, plug in bespoke connectors, and prepare your data for analytical and AI‑driven workloads.
What to try next
- Automate Schedule the script with GitHub Actions, Airflow, or Dagster and add basic alerting so failures don’t go unnoticed.
- Transform Write SQL in DuckDB or MotherDuck to cleanse, join, and aggregate the raw streams before downstream use.
- Enrich with AI Build a Retrieval‑Augmented Generation chatbot that sources answers from your Chroma collection.
- Monitor & observe Add logging and lightweight metrics (rows read, runtime, state lag) so you can spot anomalies early.
- Contribute Publish a new connector manifest or a case study to the Airbyte community and help others learn.
Need help or inspiration? Join the Airbyte Community Slack, browse the Quickstart notebooks, or open a GitHub Discussion.