Alejandro Vaisman is a professor at the Instituto Tecnológico de Buenos Aires, where he also chairs the graduate program in data science. He has been a professor and chair of the master’s program in data mining at the University of Buenos Aires (UBA) and professor at Universidad de la República in Uruguay. His research interests are in the fields of relational databases, graph databases, business intelligence, and geographic information systems.Esteban Zimányi is a professor and Director of the Department of Computer and Decision Engineering at the Université Libre de Bruxelles. His current research interests include data warehouses and business intelligence, spatio-temporal and mobility databases, as well as the semantic Web. He coordinated the Erasmus Mundus master’s and doctorate programmes “Information Technologies for Business Intelligence” (IT4BI) and “Big Data Management and Analytics” (BDMA) as well as the Marie Skłodowska-Curie doctorate programme “DataEngineering for Data Science” (DEDS).

Select Guide Rating

• Part I: Fundamental Concepts.- 1. Introduction.- 2. Database Concepts.- 3. Data Warehouse Concepts.- 4. Conceptual Data Warehouse Design.- 5. Logical Data Warehouse Design.- 6. Data Analysis in Data Warehouses.- 7. Data Analysis in the Northwind Data Warehouse.- Part II: Implementation and Deployment.- 9. Physical Data Warehouse Design.- 9. Extraction, Transformation, and Loading.- 10. A Method for Data Warehouse Design.- Part III: Advanced Topics.- 11. Temporal and Multiversion Data Warehouses.- 12. Spatial and Mobility Data Warehouses.- 13. Graph Data Warehouses.- 14. Semantic Web Data Warehouses.- 15. Recent Developments in Big Data Warehouses.

Alejandro Vaisman is a professor at the Instituto Tecnológico de Buenos Aires, where he also chairs the graduate program in data science. He has been a professor and chair of the master’s program in data mining at the University of Buenos Aires (UBA) and professor at Universidad de la República in Uruguay. His research interests are in the fields of relational databases, graph databases, business intelligence, and geographic information systems.Esteban Zimányi is a professor and Director of the Department of Computer and Decision Engineering at the Université Libre de Bruxelles. His current research interests include data warehouses and business intelligence, spatio-temporal and mobility databases, as well as the semantic Web. He coordinated the Erasmus Mundus master’s and doctorate programmes “Information Technologies for Business Intelligence” (IT4BI) and “Big Data Management and Analytics” (BDMA) as well as the Marie Skłodowska-Curie doctorate programme “DataEngineering for Data Science” (DEDS).

Select Guide Rating

• Part I: Fundamental Concepts.- 1. Introduction.- 2. Database Concepts.- 3. Data Warehouse Concepts.- 4. Conceptual Data Warehouse Design.- 5. Logical Data Warehouse Design.- 6. Data Analysis in Data Warehouses.- 7. Data Analysis in the Northwind Data Warehouse.- Part II: Implementation and Deployment.- 9. Physical Data Warehouse Design.- 9. Extraction, Transformation, and Loading.- 10. A Method for Data Warehouse Design.- Part III: Advanced Topics.- 11. Temporal and Multiversion Data Warehouses.- 12. Spatial and Mobility Data Warehouses.- 13. Graph Data Warehouses.- 14. Semantic Web Data Warehouses.- 15. Recent Developments in Big Data Warehouses.

Alejandro Vaisman is a professor at the Instituto Tecnológico de Buenos Aires, where he also chairs the graduate program in data science. He has been a professor and chair of the master’s program in data mining at the University of Buenos Aires (UBA) and professor at Universidad de la República in Uruguay. His research interests are in the fields of relational databases, graph databases, business intelligence, and geographic information systems.Esteban Zimányi is a professor and Director of the Department of Computer and Decision Engineering at the Université Libre de Bruxelles. His current research interests include data warehouses and business intelligence, spatio-temporal and mobility databases, as well as the semantic Web. He coordinated the Erasmus Mundus master’s and doctorate programmes “Information Technologies for Business Intelligence” (IT4BI) and “Big Data Management and Analytics” (BDMA) as well as the Marie Skłodowska-Curie doctorate programme “DataEngineering for Data Science” (DEDS).

Select Guide Rating

• Part I: Fundamental Concepts.- 1. Introduction.- 2. Database Concepts.- 3. Data Warehouse Concepts.- 4. Conceptual Data Warehouse Design.- 5. Logical Data Warehouse Design.- 6. Data Analysis in Data Warehouses.- 7. Data Analysis in the Northwind Data Warehouse.- Part II: Implementation and Deployment.- 9. Physical Data Warehouse Design.- 9. Extraction, Transformation, and Loading.- 10. A Method for Data Warehouse Design.- Part III: Advanced Topics.- 11. Temporal and Multiversion Data Warehouses.- 12. Spatial and Mobility Data Warehouses.- 13. Graph Data Warehouses.- 14. Semantic Web Data Warehouses.- 15. Recent Developments in Big Data Warehouses.