Difference between revisions of "Graphs with SQL & IBM DB2 - RDF Graph Store"

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(Graphs, Trees and Hierarchies in SQL - Joe Celko Slides)
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Full presentations
 
Full presentations
  
==Graphs, Trees and Hierarchies in SQL - Joe Celko [http://files.meetup.com/274991/TREES.pdf Slides]==
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==Graphs, Trees and Hierarchies in SQL - Joe Celko ==
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[http://files.meetup.com/274991/TREES.pdf Slides]
  
 
SQL is intended for structured data with strong data types modeled in sets. But it is possible to effectively model trees and hierarchies in SQL Joe will show you the programming techniques. see Trees and Hierachies in SQL 2nd edition.
 
SQL is intended for structured data with strong data types modeled in sets. But it is possible to effectively model trees and hierarchies in SQL Joe will show you the programming techniques. see Trees and Hierachies in SQL 2nd edition.
 
 
 
  
 
==The case for storing RDF in a relational database - Kavitha Srinivas [http://files.meetup.com/274991/NYSemanticWebDB2RDF.pdf Slides]==
 
==The case for storing RDF in a relational database - Kavitha Srinivas [http://files.meetup.com/274991/NYSemanticWebDB2RDF.pdf Slides]==

Revision as of 10:29, 1 June 2012

Graphs with SQL & IBM DB2 - RDF Graph Store + Edamam & more

Short presentations

  • Edamam.com - Eat better with a little help from semantics and linked data with Victor Penev.
  • Semantic Web research intro with Lora Aroyo


In this session we will take a look at RDBMS and SQL to better understand the evolution of commonplace database systems to enable them to deal with structured data, trees and hierarchies all the way to the new IBM DB2 RDF graph support in version 10.


Full presentations

Graphs, Trees and Hierarchies in SQL - Joe Celko

Slides

SQL is intended for structured data with strong data types modeled in sets. But it is possible to effectively model trees and hierarchies in SQL Joe will show you the programming techniques. see Trees and Hierachies in SQL 2nd edition.

The case for storing RDF in a relational database - Kavitha Srinivas Slides

IBM T.J. Watson Research Center

A number of use cases within IBM have recently driven a requirement for an efficient and scalablepersistence mechanism for RDF data. IBM made the decision to build an RDF store on top of DB2 to exploit some of the existing strengths of the relational database -- such as concurrency, compression etc. In this talk, we will cover examples of use cases for RDF, and cover specific features of the use cases that made RDF the solution of choice. We will also describe key extensions we added to the DB2 RDF solution in order to accommodate these use cases.

session-level: intermediate

session-type: technology-standards-application