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

“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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