Steps (stages run in order, same stage = parallel)
Schedule
Enabled
Last run
Actions
No pipelines — chain workflows of one domain into an ordered, scheduled unit.
Data lake
Name
Size
Modified
Actions
Empty — upload a file or pick another bucket.
Files land in the object store and are readable from KNIME via the
Generic S3 Connector (endpoint + credentials: see Connection info below;
path-style access on). Tip: partition by date, e.g.
sales/year=2026/month=07/orders.parquet.
Warehouse tables
Table
Rows
Columns
Actions
No tables yet — a workflow's DB Writer creates them.
Quick peek only — for charts and SQL head to the
BI tab. In KNIME, read these via PostgreSQL Connector
(host postgres, database warehouse).
Connection credentials
Name
Login
Secret
Description
Updated
Actions
No credentials yet — add one above.
For external systems this data product's workflows connect to
(other databases, SharePoint, APIs …). Stored encrypted; injected into runs as KNIME
Workflow Credential <name> and flow variables
<name>_login / <name>_password.
Saving an existing name updates it (leave the secret blank to keep the stored one).
Desktop access
Secure connection for KNIME desktop when the platform runs
outside your network — no data ports are exposed publicly. Three steps:
1. install the WireGuard® app (wireguard.com/install) ·
2. Import tunnel from file → pick the downloaded
dataplatform-tunnel.conf · 3. flip the toggle.
Connection info then works as shown. Lost the file? Download again — the old one
stops working (key rotation). Only the platform address routes through the tunnel;
your other traffic is untouched.
Data products
admin
Name
Warehouse schema
S3 paths
Service user
Actions
Creating a data product sets up everything at once:
Keycloak group (assign users there), S3 prefixes in raw/curated,
warehouse schema, and a service account the executor uses for this domain's workflows.
See docs/access-management.md for the full guide.
Superset — sign in with your platform account (Keycloak SSO).
If the frame stays on a login screen, use "Open in new tab" once, then return.
The Warehouse connection is pre-configured; tables live under Datasets → + Dataset.Open in new tab ↗