Sample Data for Looker
Modeling in LookML is only as good as the data underneath it, and you often need a realistic warehouse before real data exists. Misata builds a coherent set of related tables with clean primary and foreign keys, measures that reconcile, and an outcome you declare, so your explores and dashboards behave like production. Export as CSV or SQL and load it into your warehouse.
Sample datasets you can generate
ordersOrder facts with keys to users and products, ready to model as a Looker exploreusersUser dimensions with segments and regions, referenced by real order rowsproductsProduct and category dimensions with prices and exact category shareseventsA controllable event stream so funnels and rates in your explores have a real shapeFrom a sentence to Looker in four steps
- 1Describe the warehouse in a sentence, or start from a template
- 2Declare the metrics your explores should surface
- 3Export as CSV or SQL and load into your warehouse
- 4Point LookML at the tables, the keys and joins resolve cleanly
Why not just a random CSV
- Clean primary and foreign keys, so LookML joins model correctly
- Declared metrics hold exactly, so your measures validate against a known answer
- Realistic dimensions and distributions, so explores feel like production
- Reproducible by seed, so a modeled demo is stable across rebuilds
Frequently asked
Is this sample data free to use in Looker?
Yes. The data is generated from scratch, contains no real people or companies, and is yours to use in demos, prototypes, and training with no license or privacy concerns. Export it as CSV or Excel and load it straight into Looker.
Can I control the numbers so my Looker dashboard tells a specific story?
Yes, and this is the point. Declare the shape you want, a revenue curve that climbs to a December peak, a churn rate, exact category shares, and the rows come out matching it exactly. Your charts show the trend you designed instead of random noise.
Will the tables actually join in Looker?
Yes. Every foreign key resolves across tables, so orders point at real customers and line items point at real orders. Your relationships and blends in Looker work on the first try, with no orphan keys breaking a JOIN.
How much data can I generate?
Enough for a realistic dashboard: thousands to millions of rows, generated in seconds, with the same seed producing the exact same data every time so your demo is reproducible.
Sample data for other tools