SADA — Scalable Advanced Data Architecture

Solution

How SADA fits together

What each part of the platform does, and where it runs.

What it does

Governance

Every table is catalogued, traced to its source, checked for quality, and restricted by role.

Data connectors

Reads from the systems you already run, in batch or streaming.

Pipeline builders

Assemble a dataset on screen, from the sources through to the output.

Medallion layering

Data lands raw, is cleaned, then becomes the reporting tables people use.

AI capability

Serves governed data to AI and machine learning, under the same rules as everything else.

Open formats

Iceberg, Parquet and SQL, so the engines and BI tools you already run keep working.

Serving

Governed tables for SQL engines, BI tools and dashboards, and for AI and machine learning work, in open formats.

Where it runs

The platform runs on infrastructure you control.

On premise

On your own hardware, inside your own network.

Cloud

In your own cloud account.

Hybrid

Some of each, run as one platform.

Start with a briefing

A short discovery session, at no cost, to judge fit. Nothing is proposed before that session.

Start a briefing