Overview

Atlas is a powerful data management platform that seamlessly connects with all your organization's assets, including datasets, spreadsheets, APIs, and more. It enables your organization to efficiently categorize, govern, and update critical resources. By integrating with the core Pontus platform, Atlas ensures your assets evolve in tandem with your use cases, providing reliable and adaptable data management.

Entities and Relationships

Atlas's architecture is built around entities and relationships. Entities represent any source of truth in your organization's assets used for daily operations. Relationships define how these entities connect and interact within your organization's business processes. Together, they form a comprehensive model capable of representing all concepts necessary for robust end-user workflows.

Learn more about creating the semantic elements of Atlas: Entities documentation

See Atlas in action with a practical example: Detailed Atlas example

Transformation

Atlas provides powerful data transformation capabilities, converting data from one entity format to another. Transformations are defined processes that take input entities and produce new output entities according to specific rule sets.

Transformations offer several key benefits:

1. Data Manipulation: Transform source data to meet specific consumer requirements
2. Data Enrichment: Enhance source data with additional information to increase its value
3. Data Standardization: Normalize data formats to ensure consistency across your organization

Transformations are implemented using Python scripts, with built-in support for advanced data processing frameworks including Apache Spark and Pandas.

Learn more about transformations: Transformations documentation