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Important Aspects of Data Management

Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise. This definition is fairly broad and encompasses a number of professions, which may not have direct technical contact with lower-level aspects of data management, such as relational database management. In information system design, data modeling is the analysis and design of the information in the system, concentrating on the logical entities and the logical dependencies between these entities. Data modeling is an abstraction activity in that the details of the values of individual data observations are ignored in favor of the structure, relationships, names and formats of the data of interest, although a list of valid values is frequently recorded.

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Ready to automate data center management? (CNET)
With many organizations beginning to grasp the concept of managing computing workloads in abstract form, the next logical step is to automate it. VMware and Citrix are on the case.

A technical look at how parallel processing brings vast new capabilities to large-scale BI and data analysis (ZDNet)
The core problem we've solved is the ability for our engine to redistribute the data and the computation on the fly, as these queries and analysis are being performed. ... The combination of the software-switch interconnect, which Greenplum built into the Greenplum product, and the underlying use of commodity parallel...

Distributed Data Management
A site dedicated to covering the increasingly important field of Data Management. This page specifically covers Distributed Data Management LHC Distributed Data Management. LHC Distributed Data Management LHC Distributed Data Management Since 1995

Distributed Dynamic Data-Management
Distributed Dynamic Data-Management. Overview. This research addressed management of distributed data-structures that can change in their size, information content, and interactions with other distributed data-structures during their lifetime.

Distributed Data Management
News, trends and advice for CIOs and IT executives. Paper: Highly distributed applications have data management requirements very different to to function properly. The distributed data management environment is very different

Solid Distributed Data Management Platform
Solid Distributed Data. Management Platform. A Solid White Paper. www.solidtech.com. Solid Distributed Data Management Platform

LHC Distributed Data Management
LHC Distributed Data Management LHC Distributed Data Management Since 1995, the RD45 project at CERN has been working to solve the data management problems posed by the LHC experiments, where data volumes of up to 100 PetaBytes and data rates