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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Key issues on building data warehouse.

January 1998 (has links)
by Tang Tsz-Hong. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1998. / Includes bibliographical references (leaves 55-56). / APPROVAL --- p.i / ABSTRACT --- p.ii / TABLE OF CONTENTS --- p.iv / Chapter CHAPTER I --- INTRODUCTION --- p.1 / What is Warehouse? --- p.1 / Common Component of the Warehouse --- p.3 / Why Implement a Warehouse? --- p.4 / Transforming Data to Information --- p.4 / Solution for End-Users --- p.5 / Fast Reaction --- p.5 / Common Problem --- p.6 / Chapter CHAPTER II --- MANAGEMENT ISSUES --- p.8 / Cost of Ownership --- p.8 / Return on Investment --- p.8 / IDC Key Findings --- p.9 / The Total Cost --- p.9 / Customer Costs --- p.11 / Time Costs --- p.11 / Make Sense of Warehouse --- p.12 / Reacting Quickly to Volatile Controls and Opportunities --- p.12 / Managing both The Macro and Micro Perspective --- p.13 / Improving Managerial Ability --- p.13 / Time Savings --- p.14 / The Total Customer Relationship --- p.14 / Have a Shared Vision within the Organization --- p.15 / Specify the Scope of Problem to solve --- p.16 / Keep the Manageable Scope --- p.17 / Keep Scalable and Support Detail Data --- p.18 / Safeguards for Warehouse --- p.19 / Industry Standards and Technology --- p.20 / Partner or Vendor --- p.22 / Skill Inventory and Staffing Requirements --- p.23 / Power User and Training --- p.25 / Chapter CHAPTER III --- ARCHITECTURAL ISSUES --- p.28 / Business Requirement Study --- p.29 / Business Case Study --- p.30 / Key Success Factors of Warehousing --- p.31 / Skill Profiles and Staffing Plan --- p.33 / Growth Plan --- p.33 / Technical Blueprint --- p.35 / Enable Data Populating and Business Analysis --- p.36 / Ease the Maintenance --- p.37 / Adapt to Requirement Evolution --- p.37 / Chapter CHAPTER IV --- SYSTEM COMPONENTS --- p.38 / Acquisition Component --- p.38 / Data Populating --- p.40 / Data Analyzers --- p.40 / Data Cleaners --- p.41 / Storage Component --- p.41 / Databases --- p.42 / Data Repository --- p.43 / Access Component --- p.44 / Data Analysis and Miner --- p.45 / Middleware --- p.46 / Other Operational Components --- p.46 / Network Infrastructure --- p.46 / Backup Utility --- p.47 / Security --- p.48 / Chapter CHAPTER V --- SUMMARY --- p.51 / APPENDIX - BIBLIOGRAPHY --- p.55
2

Maintenance-cost view-selection in large data warehouse systems: algorithms, implementations and evaluations.

January 2003 (has links)
Choi Chi Hon. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 120-126). / Abstracts in English and Chinese. / Abstract --- p.i / Abstract (Chinese) --- p.ii / Acknowledgement --- p.iii / Contents --- p.iv / List of Figures --- p.viii / List of Tables --- p.x / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Maintenance Cost View Selection Problem --- p.2 / Chapter 1.2 --- Previous Research Works --- p.3 / Chapter 1.3 --- Major Contributions --- p.4 / Chapter 1.4 --- Thesis Organization --- p.6 / Chapter 2 --- Literature Review --- p.7 / Chapter 2.1 --- Data Warehouse and OLAP Systems --- p.8 / Chapter 2.1.1 --- What Is Data Warehouse? --- p.8 / Chapter 2.1.2 --- What Is OLAP? --- p.10 / Chapter 2.1.3 --- Difference Between Operational Database Systems and OLAP --- p.10 / Chapter 2.1.4 --- Data Warehouse Architecture --- p.12 / Chapter 2.1.5 --- Multidimensional Data Model --- p.13 / Chapter 2.1.6 --- Star Schema and Snowflake Schema --- p.15 / Chapter 2.1.7 --- Data Cube --- p.17 / Chapter 2.1.8 --- ROLAP and MOLAP --- p.19 / Chapter 2.1.9 --- Query Optimization --- p.20 / Chapter 2.2 --- Materialized View --- p.22 / Chapter 2.2.1 --- What Is A Materialized View --- p.23 / Chapter 2.2.2 --- The Role of Materialized View in OLAP --- p.23 / Chapter 2.2.3 --- The Challenges in Exploiting Materialized View --- p.24 / Chapter 2.2.4 --- What Is View Maintenance --- p.25 / Chapter 2.3 --- View Selection --- p.27 / Chapter 2.3.1 --- Selection Strategy --- p.27 / Chapter 2.4 --- Summary --- p.32 / Chapter 3 --- Problem Definition --- p.33 / Chapter 3.1 --- View Selection Under Constraint --- p.33 / Chapter 3.2 --- The Lattice Framework for Maintenance Cost View Selection Prob- lem --- p.35 / Chapter 3.3 --- The Difficulties of Maintenance Cost View Selection Problem --- p.39 / Chapter 3.4 --- Summary --- p.41 / Chapter 4 --- What Difference Heuristics Make --- p.43 / Chapter 4.1 --- Motivation --- p.44 / Chapter 4.2 --- Example --- p.46 / Chapter 4.3 --- Existing Algorithms --- p.49 / Chapter 4.3.1 --- A*-Heuristic --- p.51 / Chapter 4.3.2 --- Inverted-Tree Greedy --- p.52 / Chapter 4.3.3 --- Two-Phase Greedy --- p.54 / Chapter 4.3.4 --- Integrated Greedy --- p.57 / Chapter 4.4 --- A Performance Study --- p.60 / Chapter 4.5 --- Summary --- p.68 / Chapter 5 --- Materialized View Selection as Constrained Evolutionary Opti- mization --- p.71 / Chapter 5.1 --- Motivation --- p.72 / Chapter 5.2 --- Evolutionary Algorithms --- p.73 / Chapter 5.2.1 --- Constraint Handling: Penalty v.s. Stochastic Ranking --- p.74 / Chapter 5.2.2 --- The New Stochastic Ranking Evolutionary Algorithm --- p.78 / Chapter 5.3 --- Experimental Studies --- p.81 / Chapter 5.3.1 --- Experimental Setup --- p.82 / Chapter 5.3.2 --- Experimental Results --- p.82 / Chapter 5.4 --- Summary --- p.89 / Chapter 6 --- Dynamic Materialized View Management Based On Predicates --- p.90 / Chapter 6.1 --- Motivation --- p.91 / Chapter 6.2 --- Examples --- p.93 / Chapter 6.3 --- Related Work: Static Prepartitioning-Based Materialized View Management --- p.96 / Chapter 6.4 --- A New Dynamic Predicate-based Partitioning Approach --- p.99 / Chapter 6.4.1 --- System Overview --- p.102 / Chapter 6.4.2 --- Partition Advisor --- p.103 / Chapter 6.4.3 --- View Manager --- p.104 / Chapter 6.5 --- A Performance Study --- p.108 / Chapter 6.5.1 --- Performance Metrics --- p.110 / Chapter 6.5.2 --- Feasibility Studies --- p.110 / Chapter 6.5.3 --- Query Locality --- p.112 / Chapter 6.5.4 --- The Effectiveness of Disk Size --- p.115 / Chapter 6.5.5 --- Scalability --- p.115 / Chapter 6.6 --- Summary --- p.116 / Chapter 7 --- Conclusions and Future Work --- p.118 / Bibliography --- p.120
3

Data warehousing mobile code design

Cheung, Chun-lung. January 2000 (has links)
Thesis (M. Phil.)--University of Hong Kong, 2001. / Includes bibliographical references (leaves 70-73).
4

Data warehousing mobile code design

張振隆, Cheung, Chun-lung. January 2000 (has links)
published_or_final_version / abstract / toc / Electrical and Electronic Engineering / Master / Master of Philosophy
5

The Design and development of a data warehouse using sales database and requirements of a retail group/

Güratan, Işıl. Aytaç, Sıtkı January 2005 (has links) (PDF)
Thesis (Master)--İzmir Institute of Technology, İzmir, 2005 / Includes bibliographical references (leaves 99-101).
6

Near real-time extract, transform and load

Soon, Wilson Wei-Chwen. January 2007 (has links) (PDF)
Thesis (M.S.C.I.T.)--Regis University, Denver, Colo., 2007. / Title from PDF title page (viewed on May 25, 2007). Includes bibliographical references.
7

Data warehouse schema design /

Lechtenbörger, Jens. January 1900 (has links)
Münster (Westfalen), University, Thesis (doctoral), 2001. / Includes bibliographical references (p. [207]-216) and index.
8

Metadata management in the support of data warehouse development

Klovning, Eric. January 2008 (has links) (PDF)
Thesis PlanB (M.S.)--University of Wisconsin--Stout, 2008. / Includes bibliographical references.
9

Data modeling and processing in deregulated power system

Xu, Lin, January 2005 (has links) (PDF)
Thesis (Ph. D.)--Washington State University. / Includes bibliographical references.
10

A strategy for reducing I/O and improving query processing time in an Oracle data warehouse environment

Titus, Chris. January 2009 (has links) (PDF)
Thesis (M.S.C.I.T.)--Regis University, Denver, Colo., 2009. / Title from PDF title page (viewed on May 28, 2009). Includes bibliographical references.

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