5,602 research outputs found
A Call to Arms: Revisiting Database Design
Good database design is crucial to obtain a sound, consistent database, and -
in turn - good database design methodologies are the best way to achieve the
right design. These methodologies are taught to most Computer Science
undergraduates, as part of any Introduction to Database class. They can be
considered part of the "canon", and indeed, the overall approach to database
design has been unchanged for years. Moreover, none of the major database
research assessments identify database design as a strategic research
direction.
Should we conclude that database design is a solved problem?
Our thesis is that database design remains a critical unsolved problem.
Hence, it should be the subject of more research. Our starting point is the
observation that traditional database design is not used in practice - and if
it were used it would result in designs that are not well adapted to current
environments. In short, database design has failed to keep up with the times.
In this paper, we put forth arguments to support our viewpoint, analyze the
root causes of this situation and suggest some avenues of research.Comment: Removed spurious column break. Nothing else was change
The use of alternative data models in data warehousing environments
Data Warehouses are increasing their data volume at an accelerated rate; high disk
space consumption; slow query response time and complex database administration are
common problems in these environments. The lack of a proper data model and an
adequate architecture specifically targeted towards these environments are the root
causes of these problems.
Inefficient management of stored data includes duplicate values at column level and
poor management of data sparsity which derives from a low data density, and affects
the final size of Data Warehouses. It has been demonstrated that the Relational Model
and Relational technology are not the best techniques for managing duplicates and data
sparsity.
The novelty of this research is to compare some data models considering their data
density and their data sparsity management to optimise Data Warehouse environments.
The Binary-Relational, the Associative/Triple Store and the Transrelational models
have been investigated and based on the research results a novel Alternative Data
Warehouse Reference architectural configuration has been defined.
For the Transrelational model, no database implementation existed. Therefore it was
necessary to develop an instantiation of itâs storage mechanism, and as far as could be
determined this is the first public domain instantiation available of the storage
mechanism for the Transrelational model
Managing Metadata in Data Warehouses: Pitfalls and Possibilities
This paper motivates a comprehensive academic study of metadata and the roles that metadata plays in organizational information systems. While the benefits of metadata and challenges in implementing metadata solutions are widely addressed in practitioner publications, explicit discussion of metadata in academic literature is rare. Metadata, when discussed, is perceived primarily as a technology solution. Integrated management of metadata and its business value are not well addressed. This paper discusses both the benefits offered by and the challenges associated with integrating metadata. It also describes solutions for addressing some of these challenges. The inherent complexity of an integrated metadata repository is demonstrated by reviewing the metadata functionality required in a data warehouse: a decision support environment where its importance is acknowledged. Comparing this required functionality with metadata management functionalities offered by data warehousing software products identifies crucial gaps. Based on these analyses, topics for further research on metadata are proposed
Data Warehousing and Business Intelligence Skills for Information Systems Graduates: Analysis Based on Marketplace Demand
In an effort to keep information systems (IS) curriculum current with emerging technologies, this research reports the result of a survey of marketplace demand for database, data warehousing and business intelligence skills. Sample job and skills data were obtained from Dice.comâs online postings for jobs that required a bachelorâs degree in IS or equivalent qualifications. Cluster analysis revealed some skill overlap among the three job categories. Significant skills for each category of jobs, along with skill and vendor rankings, are reported
Implementation of multidimensional databases in column-oriented NoSQL systems
International audienceNoSQL (Not Only SQL) systems are becoming popular due to known advantages such as horizontal scalability and elasticity. In this paper, we study the implementation of multidimensional data warehouses with columnoriented NoSQL systems. We define mapping rules that transform the conceptual multidimensional data model to logical column-oriented models. We consider three different logical models and we use them to instantiate data warehouses. We focus on data loading, model-to-model conversion and OLAP cuboid computation
Re-engineering Technology: Date Mining for Clubs
With increasing competition and more demanding members, clubs need a tool to help them belter attract and retain members and predict their behavior. Data mining is such a tool. This article presents an overview of how data warehousing, data marting, and data mining can provide the foundation on which clubs can build strategies to outsmart competitors, build Ioyalty identify new members, and lower costs
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