Bring scattered data into one platform
Data spread across silos, legacy SQL databases and SaaS apps leaves blind spots. We design lakehouse architectures on Google Cloud that bring it together, govern it properly and make it usable by AI.
What we build
Four parts of a data platform ready for analytics and AI.
Lakehouse on BigQuery
One platform for structured warehouse data and unstructured lake data. BigQuery Studio brings SQL analytics, streaming ingestion and machine learning together in a single serverless engine.
Governance with Dataplex
Domain teams own their data while central security policy stays in force. Automated cataloguing, quality profiling and column-level masking protect sensitive personal data.
Real-time pipelines
Where the business needs it, move from overnight batch runs to event processing with Pub/Sub and Dataflow, for purchases, inventory changes and fraud signals.
Data ready for AI
We structure embeddings and clean taxonomies so Gemini and AI agents retrieve accurate context from your data.
Talk to an architect who has done this before.
Bring your current setup and the outcome you need. You will get a view on the approach, the risks and roughly what it costs.
Straight to a senior GCP architect. No SDR, no slide deck.
Not ready to talk? See how we migrated Hapana off AWS →
Or call +61 2 8359 9507 · Hello@aviato.consulting