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Every ANSI SQL Processor Conatins a Powerful Hierarachical Data Processor

Michael M David

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Latest Articles from Michael M David
Dart is a new structured data programming language from Google. While unstructured data has become extremely useful, structured data is still extremely important because it keeps businesses running day in and day out. Programming languages still need to be coded by hand and most Google...
Unstructured and XML semi structured data is now used more than structured data. Unstructured data is useful because of its fuzzy processing applied to this more common ubiquitous data. But fixed structured data still keeps businesses running day in and day out which requires consiste...
Current SQL support of relational, XML and hierarchical legacy data such as IMS is driven by flattening the hierarchical data. This is needed in order to integrate it naturally with relational (flat) data so that it can be processed relationally. Unfortunately, this strips out the natu...
Hierarchical structures have an inherent ability for significant data value increases beyond the data collected. This will be shown to exist in hierarchical structures and even more powerfully in their natural hierarchical processing capabilities. These will demonstrate flexible and e...
Part 1 of this article demonstrated how standard ANSI SQL can integrate fully, naturally, and seamlessly with XML. This was accomplished by naturally raising SQL processing to a hierarchical level, enabling relational data (including XML-shredded data) to integrate at a full hierarchic...
This two-part article will change your view and understanding of standard SQL and its ability to integrate naturally and fully with native XML. The perceived problem with achieving full SQL-based integration of XML is that relational data is flat while XML data is hierarchical, produci...