Spring GDS 25th Anniversary
A logistics company that ships to 190 countries built something to ship to itself.
Data warehouse
What is a data warehouse?
A data warehouse is a central store of structured data, organized and optimized for analysis. It pulls together data from many systems, sales, support, finance, marketing, into one consistent place where questions can be answered fast. Unlike the databases that run an application, a warehouse is built for reading and aggregating large amounts of historical data, not for handling thousands of small transactions per second.
The key word is structured. Data lands in a warehouse already shaped into tables with defined columns and types, usually after a transform step has cleaned it. This is the main distinction from a data lake, which holds raw data in its original form and decides on structure later. A warehouse trades flexibility for speed and trust. When a finance team queries last year's revenue by region, they want a clean, governed answer, not a pile of raw logs. Cloud platforms like Snowflake, BigQuery, and Redshift made warehouses cheaper to run and easier to scale, which is why most companies now have one.
A warehouse is where business intelligence and reporting live. Dashboards, scheduled reports, and ad hoc analysis usually all point at the same warehouse so that everyone is working from one version of the numbers.
Data warehouses at Dallonses
We design warehouses around the questions a company actually asks, not around an abstract ideal of clean architecture. That means understanding which metrics matter, how teams define them, and where the existing definitions disagree before we model a single table. A good warehouse ends arguments about whose number is right.
Our warehouse work usually feeds business intelligence and reporting, so we build with the people who will query it sitting in the room. We model the schema for the real reporting patterns, set up the load jobs that keep it fresh, and put governance in place so the numbers stay trustworthy as the company grows. The goal is a single source of truth that holds up under scrutiny.
Tired of every team reporting a different number? Let's build one source of truth.
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