Big data, big trouble
Big data, big trouble By Bernardo A. Huberman Director, Mechanisms and Design Lab HP Labs 1501 Page Mill Rd. Palo Alto, CA 94304 USA The interactive nature of the web has created research opportunities...
Tagged: Article
The Curriculum Forecast for Portland: Cloudy with a Chance of Data
Michael Grossniklaus, David Maier Computer Science Department Portland State University Abstract: With the advent of cloud computing, new data manage- ment technologies and systems have emerged that differ from existing databases in important ways....
“Best Practices for the SAS® Scoring Accelerator for DB2®”
Matthias Nicola et al., IBM Silicon Valley Lab. DOWNLOAD (PDF)
The Graph Traversal Pattern
Marko A. Rodriguez and Peter Neubauer. In applied computing, since the late 1960s, the interlinked table structure of the relational database has been the predominant information storage and retrieval model. With the growth of...
Cloud Computing and Advanced Relationship Analytics
Brian Clark. Graph technology offers a superior solution for relationship analytics requirements, enabling organizations to traverse any number and complexity of relationships in virtually any amount of distributed data, from any number of sources...
Rethinking Data Analysis and Reporting
Joshua Greenbaum Unlike relational database management systems, which use a records-based storage approach, or column-oriented databases which use a column-based storage method, a correlation database uses a value-based storage (VBS) architecture in which all...
When Standard SQL Queries Can’t Get the Job Done
Joseph Foley A Correlation database is a database management system (DBMS) that is data model independent and designed to efficiently handle unplanned, ad hoc queries in an analytical system environment. Queries are performed using...
Comparison of Data Warehousing DBMS Platforms
Joseph Foley An analysis of the advantages and disadvantages of relational, columnar and correlation databases for complex and demanding analytics environments. DOWNLOAD (PDF)
041.01 On the Notion of Semantic Metric Spaces for Object and Aspect Oriented Software Design
Epaminondas Kapetanios, Sue Black, University of Westminster This paper discusses a theoretical framework for software design metrics, which conceives parameters as dimensions of a metric space. DOWNLOAD (PDF)
ORM Smackdown – Transcript
Ted Neward, Oren “Ayende” Eini Transcripts of the Panel discussion “ORM Smackdown” on different viewpoints on Object-Relational Mapping (ORM) systems, courtesy of FranklinsNet. DOWNLOAD (PDF)