Next we had Prratek Ramchandani from the community share the tap he built using the Meltano SDK for importing data from dbt artifacts. This led to a good discussion about how Meltano and dbt should handle these artifacts as well as how some of the features of a tap could be better handled in the SDK.
AJ then went into a detailed demo of our big release of the Target and Stream Map SDKs. Stream Maps, in particular, were highlighted because it enables novel ways to alter data prior to sending it to a tap. After this AJ showed how we drive the data for MeltanoHub using these new features of the SDK. AJ also briefly walked us through the new Meltano Academy deck which is aimed at walking people through how to build a new tap using Meltano SDK.
Lastly, we had a couple of community questions. One question was about backfilling data using Airflow and Meltano, and the other was about how Meltano might integrate with Reverse ETL tools and Airflow Operators.
Overall, this was a fantastic Demo Day and we’re very appreciative of community members who take the time to share their work. We’re always listening to feedback and looking for ways to improve, so please contribute to any issue within the main project or chat with us on Slack if that’s more your style. Thank you to everyone who joined the livestream!