Michael M. David is founder and CTO of Advanced Data Access Technologies, Inc. He has been a staff scientist and lead XML architect for NCR/Teradata and their representative to the SQLX Group. He has researched, designed and developed commercial query languages for heterogeneous hierarchical and relational databases for over twenty years. He has authored the book "Advanced ANSI SQL Data Modeling and Structure Processing" Published by Artech House Publishers and many papers and articles on database topics.
His research and findings have shown that Hierarchical Data Processing is a subset of Relational Processing and how to utilize this advanced inherent capability in ANSI SQL. Additionally, his research has shown that advanced multipath (LCA) processing is also naturally supported and performed automatically in ANSI SQL, and advanced hierarchical processing operations are also possible. These advanced capabilities can be performed and explained in the ANSI SQL Transparent XML Hierarchical Processor at his site at: www.adatinc.com/demo.html.
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...Sep. 22, 2011 02:00 PM EDT Reads: 3,479
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...
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