As a Data Architect, Data Engineer, Data Scientist, or Software Engineer
The demand for accurate & timely data is growing. And speedy delivery is expected.
To meet the business needs, automation is key. Adopting a toolset that is fits in with existing skills, is easy to maintain and integrates well with open technology is a must.
Scalable data architecture
Build a robust & scalable data warehouse using a Data Vault & Kimball-style modelling methodology. Easily add data sources, implicitly track data lineage & history.
Low-code, always up-to-date documentation
Development is driven by documentation, and documentation is always up-to-date.
Version-controlled
Built-in versioning with auto-commit to a git repository. SQL scripts can also be downloaded from a specified AWS, GCP, or Azure storage bucket.
Save time
SQL is auto-generated. Insert-only SQL tasks are used. Modelling best-practices are applied, ensuring rapid development & quick delivery of results.