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- Transformed within 24 hours into Level 1 Science Data Archive EFD
- Transformation includes removal of sensitive data (e.g. personnel-relevant log entries)
- Transformation includes restructuring schema to be more science-query-friendly
- Adding join keys
- Denormalizing
- Creating views
- Note: it's possible that the Science Data Archive EFD will not actually be in relational form. Something like a NoSQL document database or BigTable/Hypertable might be more appropriate.
- Cleansed and transformed for Level 2 EFD as part of annual CPP
- Cleansing includes flagging of invalid data
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