Scalable Data Warehouse is a compatible python application that will make your end to end Data Warehouse affordable, reliable fast and using 100% of your big data cluster when modelling with Data Vault 2.0

Our product has the following capabilities:

  • Create Enterprise Data Warehouse tables
  • Load from current or history sources
  • Generate history automatically (SCD2)
  • Unit Testing
  • Auto-generate Data Vault Objects
  • Data retention
  • Auto-generate Datamarts
    • A virtual 3NF version of your Data Vault
    • Virtual Star Schema and Snowflake Schema (Dimensional Modelling)
    • Tabular cubes or relationshipless marts
    • Auto materialization and delta materialization of these marts
  • Parallel loading


What do you need?

Python 3.0
At least Python 3.0 installed



Data Modeller/Architect/Developer/Enthusiast

My name is Albert García, I am a Data Engineer from the year 2000 and counting. My moto was always to strive for automation without over-engineering and, particularly with Data Warehouse automation, that was always difficult to accomplish.

Since I left Barcelona, I started working on my Scalable Data Warehouse, first as an idea in the Middle East (2 years), starting the concept in Sydney Australia (4 years) and implementing it into a huge e-commerce company in Tokyo Japan (2 years). Now I am using my code again in the biggest Telecommunication companies in Switzerland.

If you want to know more about me, don’t hesitate to contact or connect via LinkedIn



Following some simple steps, we can get your company up to speed productively using our solution in a very short time

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Install and implement
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