A Framework for Collecting and Defining Requirements for Data Warehousing Projects

Jukic, Nenad; Nicholas, John
December 2010
Journal of Computing & Information Technology;Dec2010, Vol. 18 Issue 4, p377
Academic Journal
No abstract available.


Related Articles

  • Component-based end-user database design for ecologists. Cushing, Judith; Nadkarni, Nalini; Finch, Michael; Fiala, Anne; Murphy-Hill, Emerson; Delcambre, Lois; Maier, David // Journal of Intelligent Information Systems;Aug2007, Vol. 29 Issue 1, p7 

    To solve today’s ecological problems, scientists need well documented, validated, and coherent data archives. Historically, however, ecologists have collected and stored data idiosyncratically, making data integration even among close collaborators difficult. Further, effective ecology...

  • USING ONTOLOGIES FOR THE DESIGN OF DATA WAREHOUSES. Pardillo, Jesús; Mazón, Jose-Norberto // International Journal of Database Management Systems;May2011, Vol. 3 Issue 2, p73 

    Obtaining an implementation of a data warehouse is a complex task that forces designers to acquire wide knowledge of the domain, thus requiring a high level of expertise and becoming it a prone-to-fail task. Based on our experience, we have detected a set of situations we have faced up with in...

  • A Framework for the View Selection Problem in Data Warehousing Environment. Ashadevi, B.; Balasubramanian, R.; Navaneetham, P. // International Journal on Computer Science & Engineering;2010, p2820 

    A set of essential new concepts and tools have evolved into a new technology that makes it possible to access and produce accurate and timely management information for the competitive world. The phrase that has come to characterize this new technology is Data Warehousing (DW). The general...

  • Summers Rubber Company Designs Its Data Warehouse. Gorla, Narasimhaiah; Krehbiel, Steve // Interfaces;Mar/Apr99, Vol. 29 Issue 2, p104 

    Businesses use data warehouses to provide the vast amount of information users need. In designing data warehouses, they must consider the level of granularity of data, time intervals, data integrity, use of data marts, data scrubbing, distributed design, and trade-offs between system operating...

  • The Agent-based Model on Real-time Data Warehousing. Youzhi Xu; Jie Shen // Journal of Systems Science & Information;Jun2004, Vol. 2 Issue 2, p381 

    The conventional data warehouse can only analyze historical data. This paper proposes a concept of agent-based real-time data warehouse in BI system,. With this model we can improve the real-time performance of data warehouse. On the other hand, the BI system flexibility is enhanced in this...

  • Data Warehousing: Slowly Changing DIMENSIONS. Poolet, Michelle A. // SQL Server Magazine;Jan2008, Vol. 10 Issue 1, p27 

    The article suggests adoptable responses when change occurs in a data warehouse. They include overwriting of the old data with new data, creating a new dimension record for the time period that defines the change, and creating an old value column in the dimension record. The advantages and...

  • The Accidental Architecture. Sherman, Rick // DM Review;Apr2008, Vol. 18 Issue 4, p34 

    The article discusses the characteristics of information systems that lack an architectural blueprint. The lack of blueprint makes the operation, upgrading and maintenance of data warehouses and business intelligence environments difficult. Companies with data warehouse built on accidental...

  • COLUMN-ORIENTED DATABASE MANAGEMENT SYSTEMS: WHAT DO THEY DELIVER FOR ANALYSTS? Krishnamurthi, Malini; Berthelson, Mitchell // European Journal of Management;2011, Vol. 11 Issue 3, p138 

    Conventional row-oriented relational databases have been the natural step in the evolution of databases and they have evolved from the file-based data storage systems. However, with advances in hardware and impressive price to performance ratios the suitability of column-oriented databases have...

  • Improve Your Database with Proactive Space Management. Kumar, Arun R. // Database Trends & Applications;Apr2005, Vol. 19 Issue 4, p18 

    This article focuses on the significance of the utilization of the Automatic Workload Repository (AWR), growth-trend analysis, and capacity planning in the improvement of database uptime with proactive space management. Alerts are issued when the space usage exceeds either thresholds expressed...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics