Inspect the source
Review fields, sample records, and source history before importing data.
Prepare business data your team can use.
Data Infrastructure. Import source records, inspect quality issues, and publish a dataset for queries and applications. Keep each version connected to its source.
Product walkthrough. Press Space or Enter to pause or play.
Data Infrastructure. Check the input. Publish a usable dataset.
Find invalid records
Check types and required values. In the example, one invalid timestamp needs correction before publication.
Publish a reusable dataset
Make a checked dataset version available to the people and tools with access to it.
Trust the output. Trace the source.
Ten sensor readings become nine usable output rows under a reviewed quality policy. The malformed reading stays visible in the source.
Inspect Tacoma Port telemetry, including an invalid timestamp and a separate stale reading. Preparation starts with the observations as received.
Open the nine-row snapshot produced by reviewed release v2. Its publication and build are available for inspection; the newer blocked draft is a separate version.
Trace the output to the source and the policy that permits one quarantined row. Check freshness and quality before using the data in another decision.
In practice
A lithium readiness check needs dependable telemetry. Data Infrastructure keeps the original ten readings, the reviewed transformation, and the published nine-row snapshot connected. An analyst can see what was excluded and why, while an operator can still find the stale reading that keeps a shipment on hold.
Explore the solutionDiscuss your data sources.
Tell us where the data comes from, who needs to use it, and the quality issues that get in the way.