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Datamaps

Definition​

A Datamap is a core building block in Promethium. It represents a purpose-built dataset created by joining, filtering, and shaping data — even when that data spans multiple, heterogeneous data platforms.

Datamaps allow teams to:

  • Define consistent datasets for reporting, analysis, or machine learning
  • Join data across data platforms like Snowflake, Databricks, Salesforce, and more
  • Materialize datasets as views or tables for downstream reuse
  • Collaborate around trusted logic and definitions

Whether you're a data engineer writing SQL or a business user exploring with Mantra, Promethium makes it easy to build Datamaps that align with your business needs.

Two Ways to Build a Datamap​

Promethium supports both manual creation and Mantra-assisted creation of Datamaps:

1. Manual Creation (SQL-Driven)​

For users who are proficient in SQL and understand where the data resides, Datamaps can be created manually through the Datamap Builder.

Manual creation allows you to:

  • Write your own SQL across one or more data platforms
  • Use Promethium's Universal Query Engine for cross-platform joins
  • Validate results in real time
  • Add business context, metadata, and tags
  • Publish the Datamap as a view or table

2. Mantra-Assisted Creation​

For users who prefer a guided, conversational experience, Promethium offers an AI-powered workflow through Mantra.

You can simply describe what you're looking for in natural language — and Mantra will:

  • Interpret your intent
  • Search for relevant data using the 360° Context Hub
  • Generate a proposed SQL definition
  • Build and preview a Datamap for your review

This is especially useful for:

  • Business users who aren’t familiar with SQL
  • Teams looking to accelerate discovery-to-delivery
  • Avoiding redundant work by reusing existing assets

What Can You Do with a Datamap?​

Once your Datamap is created, you can:

  • Preview and explore results
  • Publish it as a view (via Trino) or a table in a connected platform
  • Schedule refreshes using data pipelines
  • Share it across teams as a trusted data source
  • Use it in dashboards, ML models, or further analysis

Datamaps are fully integrated with Promethium’s security, context, and governance layers — making them safe and scalable to use across your organization.