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@ -7,17 +7,17 @@ Below is DataHub's roadmap for the short and medium term. We'll revise this on a
- Simplified syntax + code-gen based on annotations
### Aspect-specific MCE & MAE [*WIP*]
- Split up unified events to improve scalability & modularity
### Metrics as entities [*In use at LinkedIn, waiting to open source*]
### Metrics as entities [*LinkedIn-internal, waiting to open source*]
- Models + UI
### Dashboards as entities [*In use at LinkedIn, waiting to open source*]
### Dashboards as entities [*LinkedIn-internal, waiting to open source*]
- Models + UI
### Jobs & Flows as entities [*WIP*]
- Link datasets to jobs & flows
### Schemas as an entity [*WIP*]
- Make schemas searchable
- Support GraphQL schemas
### Compliance management for datasets [*In use at LinkedIn, waiting to open source*]
- Simple tag-based compliance metadata
### Data privacy management for datasets [*LinkedIn-internal, waiting to open source*]
- Simple tag-based data privacy metadata
### Strongly consistent local index [*WIP*]
- Add query-after-write capability to local DAO
### Gremlin-based Query DAO [*WIP*]
@ -35,12 +35,12 @@ Below is DataHub's roadmap for the short and medium term. We'll revise this on a
## Medium term (6 months - 1 year)
### Fine grain lineage
- Models + impact analysis
### Operational metadata
### Operational metadata [*WIP*]
- Indexing in OLAP store ([Pinot](https://github.com/apache/incubator-pinot)) with TTL
### Social features [*WIP*]
- Users will be able to like and follow entities
- Dataset & field-level commenting
### Microservices as an entity
### Microservices as an entity [*WIP*]
- Initially focus on rest.li services & GraphQL integration
### Kundera-based Local DAO
- Support a wide range of document stores