Data Hub guides
Each guide covers one job, start to finish. If you have never used Data Hub, the quickstart is a better place to begin, because it runs through a little of several of these in one go.
Getting data in
Section titled “Getting data in”Connect a source — the Add Connection wizard, creating versus linking, and testing before you save.
Choose which tables to expose — the hidden-by-default model and what enabling a table actually does.
Working with it
Section titled “Working with it”Explore and export data — the table explorer, filters, exports, and the Writeback Lab.
Build a view — the four-step wizard for filtered, joined, and reduced datasets.
Map relationships — the Links canvas, auto-detection, and committing changes.
Keeping it fast
Section titled “Keeping it fast”Control caching — how fresh each dataset needs to be, and what that costs.
If something is wrong
Section titled “If something is wrong”Troubleshooting collects the failures that have a known cause, roughly in the order you are likely to run into them.