Details
-
Epic
-
None
-
None
-
None
-
Data Model Libraries
-
Data Processing
-
0
Description
Development of one or more prototype libraries that demonstrate the interfaces and technologies needed for the SKA Science Data Model and associated data products.
Where possible, this will be aligned with the development of MSv3, and should specifically address scaling and performance requirements.
Once developed, this is will be tested and integrated as part of the regular development of the Data Processing MVP (SP-595) and associated Feature Sets (eg. SP-605, SP-606, SP-608, SP-609).
Epic Hypothesis Statement (https://www.scaledagileframework.com/epic/)
| For | Workflow and processing component developers, scientists, and science operators |
| who | want to work with (access and update) data products and associated metadata |
| the | SKA Data Access Libraries |
| is a | Logical data model description and number of prototype implementations |
| that | allows easy access to all Science Data Model entities relevant to the processing and extraction of metadata and associated bulk data for SKA observations |
| Unlike | Existing solutions such as MSv2, the ALMA Science Data Model, KatDAL |
| our solution================== | includes the set of metadata envisaged to be required by SKA1 Low and Mid, scales to SKA1 sized datasets, supports all SKA SDP data sources (eg. Data Queues), and can be easily associated/linked with relevant final and intermediate SKA1 data products (visibilities, images, time-domain products etc) |
| Outcome hypothesis |
|
| Leading Indicators | |
| NFRs | Extensible, Scalability |
