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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
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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
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Data warehousing mobile code designCheung, Chun-lung. January 2000 (has links)
Thesis (M. Phil.)--University of Hong Kong, 2001. / Includes bibliographical references (leaves 70-73).
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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
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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).
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Near real-time extract, transform and loadSoon, 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.
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Finished goods inventory control and warehousing of a knit goods companyThacker, Donald G. January 1957 (has links)
Thesis (M.B.A.)--Boston University
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Data warehouse schema design /Lechtenbörger, Jens. January 1900 (has links)
Münster (Westfalen), University, Thesis (doctoral), 2001. / Includes bibliographical references (p. [207]-216) and index.
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Metadata management in the support of data warehouse developmentKlovning, Eric. January 2008 (has links) (PDF)
Thesis PlanB (M.S.)--University of Wisconsin--Stout, 2008. / Includes bibliographical references.
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Data modeling and processing in deregulated power systemXu, Lin, January 2005 (has links) (PDF)
Thesis (Ph. D.)--Washington State University. / Includes bibliographical references.
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