Essentials Path
A 30-minute full cycle for anyone landing on the portal for the first time — tour the five D.Hub surfaces, make your first collection, dataset, and chart, then branch into your role-specific Path.
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About this Path
You've just landed on D.Hub portal. The left sidebar carries names you don't recognize yet, and it's not obvious where to start. This Path is designed for exactly that stage: walk a learner through one D.Hub cycle in 30 minutes so they can answer, by hand, what is this platform and what can I do here.
There are 6 lessons, each about 5 minutes. Walk through it in one sitting or break it into a couple of commuting reads — both work.
Prerequisites
- A D.Hub portal account (Reader or higher)
- One handy CSV file (optional — Lesson 5 lets you tour a fully assembled collection via a scenario zip instead)
No prior learning required. You don't need to know your role (Analyst / Engineer / Admin / …) ahead of time — by the end of this Path, the right role Path picks itself.
What you'll be able to do
- Explain in one line what result each of the five D.Hub surfaces (Collection · Pipeline · Ontology · Dashboard · Agent) produces.
- Create one collection and register a CSV as a dataset.
- Use the dataset's Preview and Schema tabs to read the shape of your data at a glance.
- Build a first chart with one widget and pin it to a dashboard.
- Tour a fully assembled collection by importing one scenario zip.
- Pick your role-specific next Path (Analyst / Data Engineer / Ontology Modeler / Admin / Agent Builder).
What comes after this Path
The final lesson — Where to go next — introduces each of the five role Paths with a short pitch for the first lesson of each. Step into the one that pulls you most.
Check off each lesson as you finish it — progress is recorded automatically.
Lessons
- 01D.Hub at a glance — the map of five surfacesA one-line tour of each sidebar surface (Collection · Pipeline · Ontology · Dashboard · Agent) and what kind of result it produces.5 min
- 02Create your first collectionUse the 3-step Create Collection wizard to claim your own workspace. Done in 5 minutes.5 min
- 03Add a dataset and preview itRegister a CSV as a dataset, read your data's shape via the Preview and Schema tabs, and call global search once.5 min
- 04Pin your first chart to a dashboardBuild a bar chart on top of the dataset with one widget, then pin it to a dashboard. Five minutes in simple mode.5 min
- 05Tour a fully assembled collection via a scenario zipDownload one scenario zip, import it via portal's Import dialog, and tour the fully assembled collection — datasets, pipelines, ontology, and dashboard, all in one shot.5 min
- 06Where to go next — the five-role splitPick the role Path that fits your work. Short pitches for the first lesson of each of the five Paths — Analyst, Data Engineer, Ontology Modeler, Admin, Agent Builder.5 min