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Roadmap
Beeke-Marie Nelke edited this page Aug 31, 2021
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- Support connecting to flat data sources (e.g. csv)
- Users can use the diagram editor to create data models fast & intuitively
- Users can map a relational database to a data models via user-friendly mapping editor
- Users can select Snowflake as a connection from the Studio UI
- Users can perform ad-hoc queries on top of data models mapped to a relational data base
- Users can spin-up an H2 test database to test mapping their data model to a relational database
- code generation of 5 different coding languages: JSON, JSON schema, Avro, Protobuf and Rosetta (ISDA CDM native language)
- Users can translate their data model in 4 different coding languages: JSON schema, Avro, Protobuf and Rosetta (ISDA CDM native language)
- Sep '21 (Diagram Editor)
- July '21 (Uplifted Relational & M2M Mapping Editor, Query Builder)
- 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
- Depot (Metadata server)
- Cube
- Services
- Query
- Studio
- Engine
- SDLC
- PURE Language
- Shared
- For Legend Users
- For Legend Maintainers