Subverting exclusion [[electronic resource] ] : transpacific encounters with race, caste, and borders, 1885-1928 / / Andrea Geiger

• Record Nr.: UNINA9910457645403321
• Autore: Geiger Andrea A. E
• Pubbl/distr/stampa: New Haven, : Yale University Press, c2011
• ISBN: 1-283-34475-0; 9786613344755; 0-300-17797-6
• Descrizione fisica: 1 online resource (288 p.)
• Collana: The Lamar series in western history
• Disciplina: 305.80097
• Soggetti: Japanese - North America - History - 19th century; Japanese - North America - History - 20th century; Japanese - North America - Social conditions; Racism - North America - History; Boundaries - Social aspects - North America - History; Electronic books.; Canada Emigration and immigration History; United States Emigration and immigration History; British Columbia Emigration and immigration History; Japan Emigration and immigration History; North America Race relations
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Caste, status, and mibun -- Emigration from Meiji Japan -- Negotiating status and contesting race in North America -- Confronting White racism -- The U.S.-Canada border -- The U.S.-Mexico border -- Debating the contours of citizenship -- Reframing community and policing marriage -- The rhetoric of homogeneity -- Conclusion: Refracting difference -- Timeline: Key moments in Japanese immigrants' history in North America to 1928 -- Glossary.
• Sommario/riassunto: The Japanese immigrants who arrived in the North American West in the late nineteenth and early twentieth centuries included people with historical ties to Japan's outcaste communities. In the only English-; language book on the subject, Andrea Geiger examines the history of these and other Japanese immigrants in the United States and Canada and their encounters with two separate cultures of exclusion, one based in caste and the other in race.Geiger reveals that the experiences of Japanese immigrants in North America were shaped in part by attitudes rooted in Japan's formal status system, mibunsei, decades after it was formally abolished. In the North American West, however, the immigrants' understanding of social status as caste-based collided with American and Canadian perceptions of status as primarily race-based. Geiger shows how the lingering influence of Japan's strict status system affected immigrants' perceptions and understandings of race in North America and informed their strategic responses to two increasingly complex systems of race-based exclusionary law and policy.

Data warehouse systems : design and implementation / / Alejandro Vaisman and Esteban Zimányi

• Record Nr.: UNISA996483163203316
• Autore: Vaisman Alejandro
• Pubbl/distr/stampa: Berlin, Germany : , : Springer, , [2022]; ©2022
• ISBN: 3-662-65167-X
• Edizione: [Second edition.]
• Descrizione fisica: 1 online resource (713 pages)
• Collana: Data-centric systems and applications
• Disciplina: 658.40380285574
• Soggetti: Data warehousing; Management information systems; Database management
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references (pages 647-665) and index.
• Nota di contenuto: Intro -- Foreword to the Second Edition -- Foreword to the First Edition -- Preface -- Objective of the Book -- Organization of the Book and Teaching Paths -- Acknowledgments -- About the Authors -- Contents -- Part I Fundamental Concepts -- Chapter 1 Introduction -- 1.1 An Overview of Data Warehousing -- 1.2 Emerging Data Warehousing ; Technologies -- 1.3 Review Questions -- Chapter 2 Database Concepts -- 2.1 Database Design -- 2.2 The Northwind Case Study -- 2.3 Conceptual Database Design -- 2.4 Logical Database Design -- 2.4.1 The Relational Model -- 2.4.2 Normalization -- 2.4.3 Relational Query Languages -- 2.5 Physical Database Design -- 2.6 Summary -- 2.7 Bibliographic Notes -- 2.8 Review Questions -- 2.9 Exercises -- Chapter 3 Data Warehouse Concepts -- 3.1 Multidimensional Model -- 3.1.1 Hierarchies -- 3.1.2 Measures -- 3.2 OLAP Operations -- 3.3 Data Warehouses -- 3.4 Data Warehouse Architecture -- 3.4.1 Back-End Tier -- 3.4.2 Data Warehouse Tier -- 3.4.3 OLAP Tier -- 3.4.4 Front-End Tier -- 3.4.5 Variations of the Architecture -- 3.5 Overview of Microsoft SQL Server BI Tools -- 3.6 Summary -- 3.7 Bibliographic Notes -- 3.8 Review Questions -- 3.9 Exercises -- Chapter 4 Conceptual Data Warehouse Design -- 4.1 Conceptual Modeling of Data Warehouses -- 4.2 Hierarchies -- 4.2.1 Balanced Hierarchies -- 4.2.2 Unbalanced Hierarchies -- 4.2.3 Generalized Hierarchies -- 4.2.4 Alternative Hierarchies -- 4.2.5 Parallel Hierarchies -- 4.2.6 Nonstrict Hierarchies -- 4.3 Advanced Modeling Aspects -- 4.3.1 Facts with Multiple Granularities -- 4.3.2 Many-to-Many Dimensions -- 4.3.3 Links between Facts -- 4.4 Querying the Northwind Cube Using the OLAP Operations -- 4.5 Summary -- 4.6 Bibliographic Notes -- 4.7 Review Questions -- 4.8 Exercises -- Chapter 5 Logical Data Warehouse Design -- 5.1 Logical Modeling of Data Warehouses.; 5.2 Relational Data Warehouse Design -- 5.3 Relational Representation of Data Warehouses -- 5.4 Time Dimension -- 5.5 Logical Representation of Hierarchies -- 5.5.1 Balanced Hierarchies -- 5.5.2 Unbalanced Hierarchies -- 5.5.3 Generalized Hierarchies -- 5.5.4 Alternative Hierarchies -- 5.5.5 Parallel Hierarchies -- 5.5.6 Nonstrict Hierarchies -- 5.6 Advanced Modeling Aspects -- 5.6.1 Facts with Multiple Granularities -- 5.6.2 Many-to-Many Dimensions -- 5.6.3 Links between Facts -- 5.7 Slowly Changing Dimensions -- 5.8 Performing OLAP Queries with SQL -- 5.9 Defining the Northwind Data Warehouse in Analysis Services -- 5.9.1 Multidimensional Model -- 5.9.2 Tabular Model -- 5.10 Summary -- 5.11 Bibliographic Notes -- 5.12 Review Questions -- 5.13 Exercises -- Chapter 6 Data Analysis in Data Warehouses -- 6.1 Introduction to MDX -- 6.1.1 Tuples and Sets -- 6.1.2 Basic Queries -- 6.1.3 Slicing -- 6.1.4 Navigation -- 6.1.5 Cross Join -- 6.1.6 Subqueries -- 6.1.7 Calculated Members and Named Sets -- 6.1.8 Relative Navigation -- 6.1.9 Time-Related Calculations -- 6.1.10 Filtering -- 6.1.11 Sorting -- 6.1.12 Top and Bottom Analysis -- 6.1.13 Aggregation Functions -- 6.2 Introduction to DAX -- 6.2.1 Expressions -- 6.2.2 Evaluation Context -- 6.2.3 Queries -- 6.2.4 Filtering -- 6.2.5 Hierarchy Handling -- 6.2.6 Time-Related Calculations -- 6.2.7 Top and Bottom Analysis -- 6.2.8 Table Operations -- 6.3 Key Performance Indicators -- 6.3.1 Classification of Key Performance Indicators -- 6.3.2 Defining Key Performance Indicators -- 6.4 Dashboards -- 6.4.1 Types of Dashboards -- 6.4.2 Guidelines for Dashboard Design -- 6.5 Summary -- 6.6 Bibliographic Notes -- 6.7 Review Questions -- Chapter 7 Data Analysis in the Northwind Data Warehouse -- 7.1 Querying the Multidimensional Model in MDX -- 7.2 Querying the Tabular Model in DAX.; 7.3 Querying the Relational Data Warehouse in SQL -- 7.4 Comparison of MDX, DAX, and SQL -- 7.5 KPIs for the Northwind Case Study -- 7.5.1 KPIs in Analysis Services Multidimensional -- 7.5.2 KPIs in Analysis Services Tabular -- 7.6 Dashboards for the Northwind Case Study -- 7.6.1 Dashboards in Reporting Services -- 7.6.2 Dashboards in Power BI -- 7.7 Summary -- 7.8 Review Questions -- 7.9 Exercises -- Part II Implementation and Deployment -- Chapter 8 Physical Data ; Warehouse Design -- 8.1 Physical Modeling of Data Warehouses -- 8.2 Materialized Views -- 8.2.1 Algorithms Using Full Information -- 8.2.2 Algorithms Using Partial Information -- 8.3 Data Cube Maintenance -- 8.4 Computation of a Data Cube -- 8.4.1 PipeSort Algorithm -- 8.4.2 Cube Size Estimation -- 8.4.3 Partial Computation of a Data Cube -- 8.5 Indexes for Data Warehouses -- 8.5.1 Bitmap Indexes -- 8.5.2 Bitmap Compression -- 8.5.3 Join Indexes -- 8.6 Evaluation of Star Queries -- 8.7 Partitioning -- 8.8 Parallel Processing -- 8.9 Physical Design in SQL Server and Analysis Services -- 8.9.1 Indexed Views -- 8.9.2 Partition-Aligned Indexed Views -- 8.9.3 Column-Store Indexes -- 8.9.4 Partitions in Analysis Services -- 8.10 Query Performance in Analysis Services -- 8.11 Summary -- 8.12 Bibliographic Notes -- 8.13 Review Questions -- 8.14 Exercises -- Chapter 9 Extraction, Transformation, and Loading -- 9.1 Business Process Modeling Notation -- 9.2 Conceptual ETL Design Using BPMN -- 9.3 Conceptual Design of the Northwind ETL Process -- 9.4 SQL Server Integration Services -- 9.5 The Northwind ETL Process in Integration Services -- 9.6 Implementing ETL Processes in SQL -- 9.7 Summary -- 9.8 Bibliographic Notes -- 9.9 Review Questions -- 9.10 Exercises -- Chapter 10 A Method for Data Warehouse Design -- 10.1 Approaches to Data Warehouse Design -- 10.2 General Overview of the Method.; 10.3 Requirements Specification -- 10.3.1 Business-Driven Requirements Specification -- 10.3.2 Data-driven Requirements Specification -- 10.3.3 Business/Data-driven Requirements Specification -- 10.4 Conceptual Design -- 10.4.1 Business-Driven Conceptual Design -- 10.4.2 Data-driven Conceptual Design -- 10.4.3 Business/Data-driven Conceptual Design -- 10.5 Logical Design -- 10.5.1 Logical Schemas -- 10.5.2 ETL Processes -- 10.6 Physical Design -- 10.7 Characterization of the Various Approaches -- 10.7.1 Business-Driven Approach -- 10.7.2 Data-driven Approach -- 10.7.3 Business/Data-driven Approach -- 10.8 Summary -- 10.9 Bibliographic Notes -- 10.10 Review Questions -- 10.11 Exercises -- Part III Advanced Topics -- Chapter 11 Temporal and Multiversion Data Warehouses -- 11.1 Manipulating Temporal Information in SQL -- 11.2 Conceptual Design of Temporal Data Warehouses -- 11.2.1 Time Data Types -- 11.2.2 Synchronization Relationships -- 11.2.3 A Conceptual Model for Temporal Data Warehouses -- 11.2.4 Temporal Hierarchies -- 11.2.5 Temporal Facts -- 11.3 Logical Design of Temporal Data Warehouses -- 11.4 Implementation Considerations -- 11.4.1 Period Encoding -- 11.4.2 Tables for Temporal Roll-Up -- 11.4.3 Integrity Constraints -- 11.4.4 Measure Aggregation -- 11.4.5 Temporal Measures -- 11.5 Querying the Temporal Northwind Data Warehouse in SQL -- 11.6 Temporal Data Warehouses versus Slowly Changing Dimensions -- 11.7 Conceptual Design of Multiversion Data Warehouses -- 11.8 Logical Design of Multiversion Data Warehouses -- 11.9 Querying the Multiversion Northwind Data Warehouse in SQL -- 11.10 Summary -- 11.11 Bibliographic Notes -- 11.12 Review Questions -- 11.13 Exercises -- Chapter 12 Spatial and Mobility Data Warehouses -- 12.1 Conceptual Design of Spatial Data Warehouses -- 12.1.1 Spatial Data Types -- 12.1.2 Topological relationships.; 12.1.3 Continuous Fields -- 12.1.4 A Conceptual Model of Spatial Data Warehouses -- 12.2 Implementation Considerations for Spatial Data -- 12.2.1 Spatial Reference Systems -- 12.2.2 Vector Model -- 12.2.3 Raster Model -- 12.3 Logical Design of Spatial Data Warehouses -- 12.4 Topological Constraints -- 12.5 Querying the GeoNorthwind Data Warehouse in SQL -- 12.6 Mobility Data Analysis -- 12.7 Temporal Types -- 12.8 Temporal Types in MobilityDB -- 12.9 Mobility Data Warehouses -- 12.10 Querying the Northwind Mobility Data Warehouse ; in SQL -- 12.11 Summary -- 12.12 Bibliographic Notes -- 12.13 Review Questions -- 12.14 Exercises -- Chapter 13 Graph Data Warehouses -- 13.1 Graph Data Models -- 13.2 Property Graph Database Systems -- 13.2.1 Neo4j -- 13.2.2 Introduction to Cypher -- 13.2.3 Querying the Northwind Cube with Cypher -- 13.3 OLAP on Hypergraphs -- 13.3.1 Operations on Hypergraphs -- 13.3.2 OLAP on Trajectory Graphs -- 13.4 Graph Processing Frameworks -- 13.4.1 Gremlin -- 13.4.2 JanusGraph -- 13.5 Bibliographic Notes -- 13.6 Review Questions -- 13.7 Exercises -- Chapter 14 Semantic Web Data Warehouses -- 14.1 Semantic Web -- 14.1.1 Introduction to RDF and RDFS -- 14.1.2 RDF Serializations -- 14.1.3 RDF Representation of Relational Data -- 14.2 Introduction to SPARQL -- 14.2.1 SPARQL Basics -- 14.2.2 SPARQL Semantics -- 14.3 RDF Representation of Multidimensional Data -- 14.4 Representation of the Northwind Cube in QB4OLAP -- 14.5 Querying the Northwind Cube in SPARQL -- 14.6 Summary -- 14.7 Bibliographic Notes -- 14.8 Review Questions -- 14.9 Exercises -- Chapter 15 Recent Developments in Big Data Warehouses -- 15.1 Data Warehousing in the Age of Big Data -- 15.2 Distributed Processing Frameworks -- 15.2.1 Hadoop -- 15.2.2 Hive -- 15.2.3 Spark -- 15.2.4 Comparison of Hadoop and Spark -- 15.2.5 Kylin -- 15.3 Distributed Database Systems.; 15.3.1 MySQL Cluster.

Belief systems, religion, and behavioral economics : marketing in multicultural environments / / Elizabeth A. Minton and Lynn R. Kahle

• Record Nr.: UNINA9910824043603321
• Autore: Minton Elizabeth A.
• Pubbl/distr/stampa: New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2014
• ISBN: 1-60649-705-7
• Edizione: [First edition.]
• Descrizione fisica: 1 online resource (162 p.)
• Collana: Economics collection, , 2163-7628
• Disciplina: 174
• Soggetti: Economics - Religious aspects; Economics - Psychological aspects; Multiculturalism in advertising; Consumer behavior - Religious aspects
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Part of: 2014 digital library.
• Nota di bibliografia: Includes bibliographical references (pages 123-135) and index.
• Nota di contenuto: Preface -- 1. Behavioral economics and belief systems -- 2. Demystifying belief systems -- 3. Belief systems of the western world & interpretations for behavioral economics -- 4. Belief systems of the eastern world & interpretations for behavioral economics -- 5. The disconnect between belief systems and behavioral economics -- 6. Comparing belief systems: influences on behavioral economics -- 7. Comparing belief systems: influences on consumers -- 8. Managerial implications for businesses -- 9. Cases -- 10. Conclusion -- Appendix -- Notes -- References -- Index.
• Sommario/riassunto: Religion is a topic that businesses often ignore, in spite of 70% of the world being religious. Whether the silence results from the taboo nature of the topic or the thought that religion is a separate domain from consumption and business, it cannot be denied that it has received scant attention. Many do not realize (or resist) the idea that religion is a key contributor to a consumer's core values, which then contribute to consumption decisions, voting practices, reaction to pro-social messages and public policy, as well as donating behavior.