Difference between revisions of "Earth Science Data Analytics/Use Case Collection"
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'''Use Case Name''': MERRA Analytics Services | '''Use Case Name''': MERRA Analytics Services | ||
− | '''Provided By''': John Schnase | + | '''Provided By''': John Schnase |
− | '''Brief Description''': | + | '''Brief Description''': Enables Climate Analytics-as-a-Service by combining iRODS data management, Cloudera MapReduce, and the Climate Data Services API to serve MERRA reanalysis products. |
+ | |||
+ | '''Key Analytics Needs''': Store the MERRA reanalysis data collection in an HDFS to enable parallel, high-performance, storage-side data reductions; Manage storage-side <driver, mapper, reducer> code sets and realized objects for users; Provide a library of commonly used spatiotemporal operations (canonical ops) that can be composed to enable higher-order analyses; and Deliver end-user and application capabilities through the NASA Climate Data Services API. | ||
− | |||
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Revision as of 20:01, April 6, 2014
Use Case Collecting...
Please insert the pertinent information regarding your use case below. We can beef up the details later. Alternatively, e-map information to Steve Kempler (Steven.J.Kempler@nasa.gov)
Use Case Name: MERRA Analytics Services
Provided By: John Schnase
Brief Description: Enables Climate Analytics-as-a-Service by combining iRODS data management, Cloudera MapReduce, and the Climate Data Services API to serve MERRA reanalysis products.
Key Analytics Needs: Store the MERRA reanalysis data collection in an HDFS to enable parallel, high-performance, storage-side data reductions; Manage storage-side <driver, mapper, reducer> code sets and realized objects for users; Provide a library of commonly used spatiotemporal operations (canonical ops) that can be composed to enable higher-order analyses; and Deliver end-user and application capabilities through the NASA Climate Data Services API.
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