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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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Development of a web-based modeling system using metadata concepts and databases /Islam, Akm Saiful. Piasecki, Michael, Ph. D. January 2004 (has links)
Thesis (Ph. D.)--Drexel University, 2004. / Includes abstract and vita. Includes bibliographical references (leaves 103-107).
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Resolving horizontal partitioning and schematic variances using metadatabase approach.January 2000 (has links)
by Poon, Koon-hei. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 80-83). / Abstracts in English and Chinese. / Chapter CHAPTER 1 --- INTRODUCTION --- p.6 / Chapter CHAPTER 2 --- LITERATURE REVIEW --- p.13 / Chapter 2.1. --- BACKGROUND --- p.13 / Chapter 2.2. --- example systems --- p.20 / Chapter 2.2.1 --- Multibase --- p.20 / Chapter 2.2.2. --- Mermai d --- p.23 / Chapter 2.2.3. --- The Metadatabase Approach --- p.26 / Chapter 2.3. --- SUMMARY --- p.29 / Chapter CHAPTER 3 --- THE METADATABASE APPROACH --- p.31 / Chapter 3.1. --- Two-Stage Entity Relationship (TSER) model --- p.31 / Chapter 3.2. --- The GIRD --- p.34 / Chapter 3.3. --- The Metadatabase system in action --- p.36 / Chapter 3.3. --- global query formulations and processing in the metadatabase system --- p.37 / Chapter CHAPTER 4 --- PROBLEM OUTLINES FOR HORIZONTAL PARTITIONING AND ITS VARIANTS --- p.39 / Chapter 4.1. --- Horizontal partitioning --- p.39 / Chapter 4.2. --- Level of abstraction --- p.41 / Chapter 4.3. --- Schematic variances --- p.42 / Chapter 4.4. --- Summary --- p.43 / Chapter 4.5. --- The Scenario --- p.44 / Chapter 4.6. --- Populating the Metadatabase --- p.48 / Chapter CHAPTER 5 --- THE ENHANCEMENTS FOR GLOBAL QUERY WITH HORIZONTAL PARTITIONED DATA OBJECTS --- p.51 / Chapter 5.1. --- Identifying partitioned data objects --- p.51 / Chapter 5.2. --- Additional metadata for the horizontal partitioned data objects --- p.52 / Chapter 5.3. --- Complications of horizontal partitioning problem --- p.54 / Chapter 5.3.1. --- Level of abstraction --- p.55 / Chapter 5.3.2. --- Schematic variances --- p.57 / Chapter 5.4. --- Global query with horizontal partitioning data objects --- p.59 / Chapter 5.5. --- Housing the new metadata --- p.68 / Chapter 5.6. --- Example --- p.72 / Chapter CHAPTER 6 --- ANALYSIS --- p.75 / Chapter CHAPTER 7 --- CONCLUSION AND FUTURE WORKS --- p.78 / REFERENCES --- p.80 / APPENDICES --- p.84 / Chapter A. --- GIRD Definitions --- p.84 / Chapter A1. --- GIRD Model --- p.84 / Chapter A2. --- GIRD/SER Contents --- p.84 / Chapter A3. --- GIRD/OER Constructs --- p.87 / Chapter A4. --- Definition of Meta-attributes --- p.89 / Chapter B. --- Problems Representations in Relation Algebra --- p.96 / Chapter B1. --- Horizontal problem --- p.96 / Chapter B2. --- Level of abstraction --- p.96 / Chapter B3. --- Schematic Variance --- p.97 / Chapter C. --- Details of local systems --- p.98
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EIS: using the metadatabase approach for data integration and OLAP.January 1998 (has links)
by Ho Kwok-Wai. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1998. / Includes bibliographical references (leaves 121-126). / Abstract also in Chinese. / ABSTRACT --- p.II / TABLE OF CONTENTS --- p.V / LIST OF FIGURES --- p.X / ACKNOWLEDGMENTS --- p.XII / Chapter CHAPTER 1 --- INTRODUCTION --- p.1 / Chapter 1.1 --- Need support in data integration --- p.2 / Chapter 1.2 --- Need support in On-line Analytical Processing (OLAP) --- p.4 / Chapter 1.3 --- The proposed research --- p.5 / Chapter 1.4 --- Scope of the study --- p.6 / Chapter 1.5 --- Organization of the Thesis --- p.7 / Chapter CHAPTER 2 --- LITERATURE REVIEW --- p.8 / Chapter 2.1 --- Executive Information System (EIS) --- p.9 / Chapter 2.1.1 --- Definition --- p.9 / Chapter 2.1.2 --- Goals of Executive Information System --- p.10 / Chapter 2.1.3 --- Role of Executive Information System --- p.11 / Chapter 2.1.4 --- General characteristics of Executive Information System --- p.12 / Chapter 2.1.4.1 --- A separate executive database --- p.12 / Chapter 2.1.4.2 --- Data aggregation facilities --- p.12 / Chapter 2.1.4.3 --- Drill-Down (and Roll-Up) --- p.13 / Chapter 2.1.4.4 --- Trend analysis --- p.13 / Chapter 2.1.4.5 --- Highly user-friendly interface / Chapter 2.1.4.6 --- Flexible menu-based data retrieval --- p.14 / Chapter 2.1.4.7 --- High quality of business graphics --- p.14 / Chapter 2.1.4.8 --- Simple modeling facilities --- p.15 / Chapter 2.1.4.9 --- Communications --- p.15 / Chapter 2.1.4.10 --- Automated links to other databases --- p.15 / Chapter 2.1.4.11 --- Briefing book --- p.16 / Chapter 2.1.5 --- Architecture of Executive Information System --- p.16 / Chapter 2.1.6 --- Potential problems of Executive Information System --- p.18 / Chapter 2.2 --- On-line Analytical Processing (OLAP) --- p.20 / Chapter 2.2.1 --- Limitations of OLAP --- p.21 / Chapter 2.2.2 --- Integration of heterogeneous distributed systems and databases --- p.21 / Chapter 2.3 --- Data Warehousing (DW) --- p.23 / Chapter 2.3.1 --- Definition --- p.24 / Chapter 2.3.1.1 --- Subject-Orientation --- p.24 / Chapter 2.3.1.2 --- Integration --- p.25 / Chapter 2.3.1.3 --- Time Variancy --- p.26 / Chapter 2.3.1.4 --- Nonvolatile --- p.27 / Chapter 2.3.2 --- Goal of Data Warehousing --- p.28 / Chapter 2.3.3 --- Architecture of Data Warehousing --- p.28 / Chapter 2.3.3.1 --- Integrator --- p.29 / Chapter 2.3.3.2 --- Monitor --- p.30 / Chapter 2.3.3.3 --- Data Warehouse --- p.31 / Chapter 2.3.4 --- Application in EIS --- p.31 / Chapter 2.3.5 --- Problems associated with Data Warehouse --- p.33 / Chapter 2.4 --- The Metadatabase Approach --- p.35 / Chapter 2.4.1 --- Goals of the Metadatabase Approach --- p.36 / Chapter 2.4.2 --- Structure of the Metadatabase Approach --- p.37 / Chapter 2.4.3 --- Metadatabase Approach functionalities --- p.40 / Chapter 2.4.4 --- TSER Modeling Technique --- p.42 / Chapter 2.4.4.1 --- The Functional Model --- p.43 / Chapter 2.4.4.1.1 --- Subject --- p.43 / Chapter 2.4.4.1.2 --- Context --- p.43 / Chapter 2.4.4.2 --- The Structural Model --- p.44 / Chapter 2.4.4.2.1 --- Entity --- p.44 / Chapter 2.4.4.2.2 --- Plural Relationship (PR) --- p.45 / Chapter 2.4.4.2.3 --- Functional Relationship (FR) --- p.45 / Chapter 2.4.4.2.4 --- Mandatory Relationship (MR) --- p.45 / Chapter 2.4.4.3 --- Metadatabase Repository --- p.46 / Chapter CHAPTER 3 --- RESEARCH METHODOLOGY --- p.48 / Chapter 3.1 --- Literature review --- p.49 / Chapter 3.2 --- Architecture construction --- p.50 / Chapter 3.3 --- Algorithm and methods development --- p.50 / Chapter 3.4 --- Prototyping --- p.51 / Chapter 3.5 --- Analysis and evaluation --- p.51 / Chapter CHAPTER 4 --- MULTIDIMENSIONAL DATA ANALYSIS --- p.53 / Chapter 4.1 --- Multidimensional Analysis Unit (MAU) --- p.54 / Chapter 4.2 --- New steps for multidimensional data analysis --- p.57 / Step 1 Indicator Selection --- p.57 / Step 2 Dimensions Determination --- p.58 / Step 3 Dimensions Selection --- p.58 / Step 4 MAU Sub-view Materialization --- p.59 / Step 5 On-line Analytical Processing (OLAP) --- p.59 / Chapter CHAPTER 5 --- NEW ARCHITECTURE FOR EXECUTIVE INFORMATION SYSTEM --- p.60 / Chapter 5.1 --- Evolution of EIS architecture --- p.60 / Chapter 5.2 --- Objectives of the new EIS architecture --- p.63 / Chapter 5.3 --- The new EIS architecture --- p.65 / Chapter 5.3.1 --- The Metadatabase Management System (MDBMS) --- p.67 / Chapter 5.3.2 --- The ROLAP/MDB Interface --- p.68 / Chapter 5.3.2.1 --- The Indicator Browser --- p.69 / Chapter 5.3.2.2 --- The Dimension Selector --- p.70 / Chapter 5.3.2.3 --- The Multidimensional Data Analyzer --- p.70 / Chapter 5.3.3 --- The ROLAP/MDB Analyzer --- p.71 / Chapter 5.3.3.1 --- The Dimension Determination Module --- p.71 / Chapter 5.3.3.2 --- The MAU Schema Saver --- p.72 / Chapter 5.3.3.3 --- The MQL Generator --- p.72 / Chapter 5.3.3.4 --- The MAU Sub-view Materializer --- p.72 / Chapter 5.3.3.5 --- The ROLAP/MDB Processor --- p.73 / Chapter CHAPTER 6 --- ALGORITHM AND METHODS FOR THE NEW EIS ARCHITECTURE.… --- p.74 / Chapter 6.1 --- Indicator Browser --- p.74 / Chapter 6.2 --- Determining dimensions and storing MAU Schema --- p.77 / Chapter 6.3 --- Dimensions selection --- p.82 / Chapter 6.4 --- Materialize MAU Sub-view --- p.82 / Chapter 6.5 --- Multidimensional data analysis in relational manner --- p.85 / Chapter 6.5.1 --- SQL statements for three dimensional slide operation --- p.87 / Chapter 6.5.2 --- SQL statements for n-dimensional slide operation --- p.89 / Chapter 6.5.3 --- SQL statements for n-dimensional dice operation --- p.91 / Chapter 6.5.4 --- Rotation --- p.92 / Chapter 6.5.5 --- Drill-Down (and Roll-Up) --- p.94 / Chapter CHAPTER 7 --- A CASE STUDY USING THE PROTOTYPED EIS --- p.97 / Chapter 7.1 --- A Business Case --- p.97 / Chapter 7.2 --- Multidimensional data analysis --- p.98 / Step 1 Indicator selection --- p.99 / Step 2 & 3 Dimension determination & MAU Schema storage --- p.100 / Step 4 Dimension specification --- p.102 / Step 5 MAU Sub-view formation --- p.104 / Step 6 Multidimensional data analysis operations --- p.104 / Chapter CHAPTER 8 --- EVALUATION OF THE NEW EIS ARCHITECTURE --- p.110 / Chapter 8.1 --- Improvements --- p.110 / Chapter 8.1.1 --- Adaptability --- p.111 / Chapter 8.1.2 --- Flexibility --- p.112 / Chapter 8.2 --- New features of the new EIS architecture --- p.113 / Chapter 8.2.1 --- Access on-line production data --- p.113 / Chapter 8.2.2 --- Facilitate data-mining --- p.114 / Chapter 8.3 --- Processing efficiency problem --- p.114 / Chapter 8.3.1 --- MAU Schema Saver for reusability --- p.115 / Chapter 8.3.2 --- Dimension Selector to scale down data retrieval --- p.116 / Chapter 8.3.3 --- MAU Sub-view materialization for reusability --- p.116 / Chapter 8.3.4 --- Incorporate data warehouse to reduce access to local systems --- p.117 / Chapter 8.4 --- Summary --- p.117 / Chapter CHAPTER 9 --- CONCLUSION --- p.118 / Chapter CHAPTER 10 --- DIRECTION OF FUTURE STUDIES --- p.120 / REFERENCES --- p.121 / APPENDIX --- p.127 / Global Information Resources Dictionary (GIRD) --- p.127
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Metadata view graphs : a framework for query optimization and metadata managementPittges, Jeff 12 1900 (has links)
No description available.
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Ontomet: Ontology Metadata Framework /Bermudez, Luis E. Piasecki, Michael, Ph. D. January 2004 (has links)
Thesis (Ph. D.)--Drexel University, 2004. / Includes abstract and vita. Includes bibliographical references (leaves 151-162).
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The development and evaluation of an online tutorial to teach digitization and metadata indexing of library and archival resources.Moodley, Surendran. January 2009 (has links)
The aim of the study was to evaluate an online tutorial designed to teach digitization and metadata indexing of library and archival resources. The online tutorial was designed according to constructivist teaching principles to promote collaborative learning. The tutorial was hosted on the OLS (Open learning System) of the University of KwaZulu-Natal (UKZN). The research was concerned with answering three research questions: Is the online tutorial a teaching instrument capable of teaching metadata indexing and digitization skills? Is the online tutorial an effective teaching tool? Does the use of constructivist teaching elements in the tutorial design allow for a more effective communication of knowledge and skills? A total of 10 participants registered for and took part in the online tutorial. On completion of the tutorial a qualitative and quantitative evaluation of the tutorial was done. In terms of the latter a self-administered questionnaire was used as the data collection technique. The qualitative evaluation was done via an analysis of discussions on the discussion forum and e-mail correspondence between learners and the researcher during the running of the tutorial. A more quantitative analysis was then conducted of the responses to the self-administered questionnaire. The qualitative and quantitative analysis identified significant issues that affected the running of the online tutorial. The main issues included problems relating to Internet access to the online tutorial, participation of learners on the tutorial and the functioning of the online learning environment. The analysis of the results of the evaluation provided answers for the three research questions. The analysis found that the online tutorial was able to teach metadata indexing and digitization skills. This was based on completed work that was submitted by participants and responses participants gave to questions on the postcourse questionnaire. However, the amount of work submitted by all participants for the metadata indexing and digitization exercises was generally low. The online tutorial was able to conduct effective teaching at certain times in the tutorial. However, there were a number of issues that disrupted the functioning of the online tutorial and this limited the effectiveness of teaching on the tutorial. The use of constructivist teaching elements in the tutorial design was unable to enable effective communication of knowledge and skills and the promotion of constructivist learning on the tutorial. This goal was hampered by various problems associated with the hosting of the online tutorial and Internet connectivity to the OLS site. Various suggestions for further research were made. / Theses (M.A.)-University of KwaZulu-Natal, Durban, 2009.
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