Architecture design
Choice between warehouse, lakehouse or a mix, based on your real volume, query pattern and budget.
Service
Data Warehouse and Lakehouse
Analytical infrastructure that holds up as you grow, with cost under control. Storage is cheap; badly designed query is not.
A warehouse built without thought about access pattern works fine in the first month and becomes a monthly bill nobody can explain in the sixth. Partitioning, layers and cost model are design decisions, not afterthoughts.
Book a 30-min conversationWhat this service covers
Deliverables that work together or separately, depending on where your brand stands.
Layer structure
Raw, refined and analytical layers with clear responsibility for each, so nobody queries raw data by accident.
Partitioning and performance
Data organised to make the most frequent query cheap, instead of scanning everything every time.
Cost control
Monitoring of consumption per query and per area, with alerts before the bill surprises anyone.
Access and security
Permissions per layer and per area, with sensitive data protected and access on record.
Migration
Move from an existing structure with parallel validation, so nothing is lost in the transition.
How we work
A clear method. A partner who stays when execution starts.
Cost is a design decision
Structure is chosen with the monthly bill on the table, not only for technical elegance.
Layers with clear responsibility
Each layer has an owner and a purpose. Nobody builds a report straight off raw data.
Validated migration
Old and new run in parallel and get compared before anything is switched off.
Security per layer
Sensitive data is protected in the structure itself, not by the honour system.
Vendor lock-in avoided where possible
We prefer open formats and portable modelling, so changing provider does not mean starting over.
Frequently asked questions
Warehouse or lakehouse?
It depends on volume, data variety and what your team can maintain. For most ecommerce operations a well-modelled warehouse is enough.
How much does it cost to run?
It varies with volume and query frequency. We estimate this in the design phase, with a scenario for the expected growth.
Which providers do you work with?
BigQuery, Snowflake, Databricks and Postgres-based options. The choice follows the case, not a preferred partner.
Can I migrate without downtime?
Yes. We run the two structures in parallel, compare results and only switch off the old one after validation.
What about LGPD?
Sensitive data is identified in the design, with defined retention, access control and anonymisation where it applies.
Do I need a data team to maintain it?
The structure is built to demand as little routine work as possible. Even so, someone has to own it. We help define that role.
Want to understand how this applies to your brand?
Tell us about your operation. We will say honestly what can be delivered and how long it takes.
Get in touch