There are many methods available out on the web for performing large file ingestion and translating the resulting data sets into XML data which quickly maps to Android Object Models (AOM) used on mobile devices, without further post-processing being ultimately necessary. In other words, the resulting datasets could be so large, and cumbersome to work with, that it would be completely futile and time consuming attempting to modify the resulting XML by alternative methods for further refining the model! This implies that the parser must have the smarts to create resulting XML the first time around that immediately fits the standard form of the underlying Android objects. It also further implies that if the object dependency upon such ingested XML changes, that the XML structure of these objects also might have to change over time! With these small set of objectives in mind, I will show you in this tutorial how to implement a simple, yet efficient parsing strategy that will achieve these objectives in a relatively quick manner, one that does not involve the use of sophisticated frameworks such as XML DOM, SAX or other known parsers. The reason why I chose not to use these frameworks at all is mainly for sake of simplicity, availability and portability. I just wanted to create a simple model, one which can be easily transferred to other languages and platforms. Open source is prevalent throughout the industry due to cost savings and wide availability and I wanted a strategy that others and I can easily modify without much dependency upon external libraries. With that said, lets dive into the nuts and bolts of this technique!

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