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Roadmap
Beeke-Marie Nelke edited this page May 27, 2021
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- Support connecting to flat data sources (e.g. csv)
- Mapping editor for relational connections
- Relational mapping of Snowflake
- Query capabilities of connected & mapped data
- Relational mapping to h2
- code generation of 5 different coding languages: JSON, JSON schema, Avro, Protobuf and Rosetta (ISDA CDM native language)
- Support connecting to flat data sources (e.g. csv)
- code generation of 5 different coding languages: JSON, JSON schema, Avro, Protobuf and Rosetta (ISDA CDM native language)
- Legend supports H2 as in-memory backend for lightweight testing
- Legend supports BigQuery as a relational backend
- Legend supports Snowflake as a relational backend. Initially, Legend supports key pair authentication with static vault implementation
- Project Build - Legend SDLC generates a Maven POM for Studio projects. This Maven build generates project artifacts such as model entity jars, service execution jars etc.
- Project Build Pipeline - Legend SDLC enables users to integrate the project's Maven build with their own custom CI/CD infrastructure.
- XML/XSD schema
- Flat Data
- Rosetta > PURE
- Depot (Metadata server)
- Cube
- Services
- Query
- Studio
- Engine
- SDLC
- PURE Language
- Shared
- For Legend Users
- For Legend Maintainers