Docs
How Northstar works
Data comes in, becomes a governed dataset, then feeds your KPIs, dashboards and answers. These pages explain each step and who can see what.
This documentation is the Northstar help center, also available inside the app.
Where to start
I follow the numbers
KPIs, dashboards, the Smart Cockpit and Chat: read a figure and know how far you can rely on it.
- 1How it works
- 2KPIs
- 3Dashboards and figures
- 4Smart Cockpit
- 5Chat
- 6Quality and validations
- 7Who can do what
I prepare the data
Connect sources, build silver and gold datasets, set validation rules and alerts.
- 1How it works
- 2Storage systems
- 3Sources and ingestion
- 4Datasets
- 5Transformations
- 6Quality and validations
- 7Alerts
- 8Data lineage
- 9What updates on its own
I run the platform
Organization roles, teams, resource sharing and the AI assistants.
- 1How it works
- 2Who can do what
- 3Teams and resources
- 4AI assistants
- 5What updates on its own
I integrate Northstar
Integration accounts, API keys and the Python SDK: automate catalogue, governance and analysis from your pipelines.
- 1How it works
- 2Integration accounts
- 3API keys
- 4Python SDK
- 5SDK recipes
- 6SDK reference
All topics
Getting started
Collect data
Datasets
- DatasetsThe governed asset that every KPI, dashboard and answer is built on.
- TransformationsHow silver and gold datasets are built from raw data, then kept up to date.
- Quality and validationsThe trust score, its six dimensions and the rules that guard your data.
- AlertsGet notified when a business condition or a quality threshold is crossed.
- Data lineageWhere each dataset and column comes from, and what depends on it.
Use your data
- KPIsGoverned indicators, defined once on a dataset and computed for you.
- Dashboards and figuresCharts, tables and dashboards that respect each reader's access.
- ChatAsk questions in plain language. Answers come from governed datasets.
- Smart CockpitYour daily briefing: the KPIs you chose, their trend and an executive summary.
- SQL ExecutorRead-only queries on your warehouses, within your dataset access.
Governance and access
- Who can do whatPlatform roles, organization roles and team roles, and what each one controls.
- Teams and resourcesHow datasets, KPIs, figures, dashboards and collections are shared with teams.
- AI assistantsWhat each assistant does, what it relies on, and what it never does on its own.
- What updates on its ownThe chain of refreshes that follows new data, and where to monitor it.
Developers
- Integration accountsThe machine accounts your scripts and pipelines use, and what they can see.
- API keysCreate, store, send and revoke the keys that authenticate an integration account.
- Python SDKInstall the SDK, connect with an API key and learn how its client works.
- SDK recipesStep-by-step code for the usual jobs: warehouses, datasets, documents, KPIs, dashboards and pipelines.
- SDK referenceCredentials by storage kind, location keys, errors and raw HTTP calls.