Analysis patterns: reusable objects models
Analysis patterns: reusable objects models
The Unified Modeling Language user guide
The Unified Modeling Language user guide
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Information modeling and relational databases: from conceptual analysis to logical design
Information modeling and relational databases: from conceptual analysis to logical design
Data Model Patterns: Conventions of Thought
Data Model Patterns: Conventions of Thought
Building the Data Warehouse,3rd Edition
Building the Data Warehouse,3rd Edition
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
On Normalization of Relations in Relational Databases
Programming and Computing Software
IEEE Transactions on Knowledge and Data Engineering
Temporal Entity-Relationship Models-A Survey
IEEE Transactions on Knowledge and Data Engineering
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Reasoning with Enhanced Temporal Entity-Relationship Models
DEXA '99 Proceedings of the 10th International Workshop on Database & Expert Systems Applications
Temporal Data and the Relational Model
Temporal Data and the Relational Model
Exploiting functional dependence in query optimization
Exploiting functional dependence in query optimization
Creation and management of versions in multiversion data warehouse
Proceedings of the 2004 ACM symposium on Applied computing
C-store: a column-oriented DBMS
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Fundamentals of Database Systems (5th Edition)
Fundamentals of Database Systems (5th Edition)
What time is it in the data warehouse?
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Editorial: Anchor modeling - Agile information modeling in evolving data environments
Data & Knowledge Engineering
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Maintaining and evolving data warehouses is a complex, error prone, and time consuming activity. The main reason for this state of affairs is that the environment of a data warehouse is in constant change, while the warehouse itself needs to provide a stable and consistent interface to information spanning extended periods of time. In this paper, we propose a modeling technique for data warehousing, called anchor modeling, that offers non-destructive extensibility mechanisms, thereby enabling robust and flexible management of changes in source systems. A key benefit of anchor modeling is that changes in a data warehouse environment only require extensions, not modifications, to the data warehouse. This ensures that existing data warehouse applications will remain unaffected by the evolution of the data warehouse, i.e. existing views and functions will not have to be modified as a result of changes in the warehouse model.