AtScale Open-Sourced Semantic Modeling Language (SML)
Practical Solutions and Value
AtScale has open-sourced its Semantic Modeling Language (SML) to provide a standard language for semantic modeling across platforms, fostering collaboration and interoperability in the analytics community.
Key Highlights
- The introduction of SML is a major step in democratizing data analytics and advancing semantic layer technology.
- SML aims to enable business users to query data in terms they understand, without deep technical knowledge.
- It promotes model portability, allowing users to build and share semantic models across platforms.
- SML is designed to handle complex, multidimensional data across various industries.
- It offers an object-oriented structure, familiar syntax, and supports modern software development practices.
- AtScale is making SML language specification, pre-built semantic models, and helper classes available as part of its open-source initiative.
Value Proposition
The open-sourcing of SML accelerates the adoption of semantic layers, promotes the development of reusable models, and fosters greater collaboration in the analytics industry. AtScale’s commitment to democratizing analytics and building a vibrant community around semantic modeling is highlighted through this initiative.
If you want to evolve your company with AI, stay competitive, and leverage AtScale Open-Sourced Semantic Modeling Language (SML) for transforming analytics across platforms. Discover how AI can redefine your way of work.
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