| Abstrak/Abstract |
The data identification is one of the current challenge in the big data processing. The research works on identification and analysis process use match-aggregate-pipeline for metadata classification. The research works with metadata extraction process, identification, classification, management, and information. The research works FITS extraction tools to generate the metadata item. The items is analyses and classify into volume, variety, veracity, and velocity classification. The process has implemented use the match-aggregate-pipeline in MongoDB database. The research result is metadata-XML with volume, variety, veracity, and velocity structures. The metadata-XML is uses to deliver the big data characteristic in service provision scheduling |
