Every ANSI SQL Processor Contains a Powerful Hierarchical Data ProcessorANSI SQL Advanced Hierarchical ProcessingSubscribe to ANSI SQL Advanced Hierarchical Processing:
|
|||||||||||
|
About ANSI SQL Advanced Hierarchical Processing
This publication is dedicated to hierarchical data processing and ANSI SQL’s natural ability to transparently process multipath queries at a full hierarchical processing level. It covers all aspects of this new ability from hierarchical structure and processing principles to advanced inherent hierarchical operations and how and why this is automatically possible. Also covered are ANSI SQL’s extended navigationless, seamless, and lossless integration and processing of: relational data; Native XML; and hierarchical legacy data.
ADD THIS FEED TO YOUR ONLINE NEWS READER
|
||||||||||
NavigateSponsorship & Advertising OpportunitiesFor exclusive sponsorship or advertising opportunities on this site please email advertise(at)sys-con.com, 201 802-3021. Exclusive sponsorship opportunities are available as an annual contract. 
UlitzerCopyright ©1994-2009 Ulitzer, Inc. All Rights Reserved. All marks are marks or trademarks of Ulitzer, Inc. Reproduction in whole or in part in any form or medium without express written permission of Ulitzer, Inc. is prohibited.
|
|||||||||||
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...
Subscribe to ANSI SQL Advanced Hierarchical Processing Email News Alerts
Subscribe via RSS
Ulitzer content is offered under Creative Commons "Attribution Non-Commercial No Derivatives" License.
For any reuse or distribution, you must make clear to others the license terms of this work.
The best way to do this is with a link to this web page.
Any of the above conditions can be waived if you get written permission from Ulitzer, Inc., the copyright holder.
Nothing in this license impairs or restricts the author's moral rights.