Scalable and Distributed Processing of Scientific XML Data

Provided by: Binghamton University
Topic: Big Data
Format: PDF
A seamless and intuitive search capability for the vast amount of datasets generated by scientific experiments is critical to ensure effective use of such data by domain specific scientists. Currently, searches on enormous XML datasets is done manually via custom scripts or by using hard-to-customize queries developed by experts in complex and disparate XML query languages. Such approaches however do not provide acceptable performance for large-scale data since they are not based on a scalable distributed solution.

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