An Empirical Study on XML Schema Idiosyncrasies in Big Data Processing
Journal Title: International Journal on Computer Science and Engineering - Year 2015, Vol 7, Issue 10
Abstract
The design and maintenance of the XML schemas for the enterprise, if done incorrectly, can be difficult and frustrating experience. The applications that use XML data binding or participate in the processing of large and complex XML have to quickly adapt to support changing and evolving requirements without forcing each application that exchanges XML data or uses value-objects to upgrade in lock-step. While not ideally suited for the Big Data processing, XML remains the widely accepted data format of choice. This paper provides an overview of the practical techniques and approaches that can help an XML schema author to make intelligent design decisions.
Authors and Affiliations
Dmitry Vasilenko , Mahesh Kurapati
Keywords
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