Pipelines
Think about it as the tunnel where your data is going through when being extracted, transformed, or sent.
Lakehouse
The architecture storing your data. This is what’s behind your catalog.
Runs
Every time data moves through a pipeline, there’s a run. This is how you monitor time and success of this movements.
Sync types
There are a few ways to get your data synced with its source. Understand more about each one here.
Scheduling and triggers
You have total control about when your pipelines will run and there are some options to make the smarter orcherstration plan.
Logs and monitoring
You’ll have enough resources to make sure everything is running smoothly on your workspace.