Write it explicitly.
Express the filters, joins, and calculations your analysis needs.
Write SQL against FastBI Lake, inspect results, and explore the relationships in your data. Take a useful query from investigation to a recurring job.
SELECT order_id, customer_id, total
FROM lake.orders
ORDER BY order_id
LIMIT 3;Source: lake.orders
| order_id | customer_id | total |
|---|---|---|
| 1001 | C-014 | 120.00 |
| 1002 | C-028 | 85.00 |
| 1003 | C-014 | 65.00 |
01Write a query
Explore a table, compare periods, or join datasets. SQL gives you a direct way to ask precise questions of the data in Lake.
Express the filters, joins, and calculations your analysis needs.
Work through the rows behind the headline number.
Adjust the query as you learn more about the data.
02Go deeper
Move from a quick check to a deeper investigation without exporting your data into another tool.
Join Lake datasets to connect customers, events, and transactions.
Aggregate raw records into the shape your analysis needs.
Use explicit SQL to make calculations easy to inspect.
03Make it repeatable
Pair SQL with Jobs when the same transformation needs to run again. Use the resulting Lake tables in Analysis and reports.
Develop the query.
Schedule the recurring transformation.
Explore the resulting Lake tables.
Join the waitlist for early access.