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ANSI SQL Can Combine Advantages and Principles of Relational and Hierarchical Data Processing

Jan 21, 2011, 04:35 (2 Talkback[s])
(Other stories by Michael M. David)

"Michael M. David describes how relational and hierarchical data processing can be seamlessly combined in a way that supports and preserves both hierarchical and relational processing advantages while avoiding their disadvantages.

"Relational and hierarchical data processing are both controlled by very principled structured data processing operations. However, they are very different in operation and for this reason, they have different advantages and disadvantages in data processing characteristics. These characteristics are listed and described below. This article will describe how these two different principled data processing disciplines can be seamlessly combined in a way that supports and preserves both hierarchical and relational processing advantages while avoiding their disadvantages.

"Relational and Hierarchical Processing Advantages and Disadvantages

"Relational and hierarchical processing is very different so there is no surprise that what is good for one is often bad for the other. This will be reflected directly below where these characteristics are listed and explained. These good and bad characteristics reflect what is still assumed today such as relational processing cannot support hierarchical processing, which is not an accurate statement today and will be covered later in this article."

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