What This Document Is
This document presents a formal model for multidimensional databases, a core component of On-Line Analytical Processing (OLAP) systems. It delves into the theoretical foundations of how data can be structured and manipulated in a multidimensional format, moving beyond traditional relational database approaches. The work explores the concepts of dimensions, hierarchies within those dimensions, and the structures known as “cubes” used to represent data. It’s a research paper originating from the late 1990s, offering a foundational perspective on the field.
Why This Document Matters
Students and researchers in database systems, data warehousing, and business intelligence will find this material valuable. It’s particularly relevant for those seeking a deeper understanding of the underlying principles of OLAP technology, rather than just how to *use* existing OLAP tools. Individuals studying data modeling, database theory, or advanced data structures will benefit from the formal approach presented. This resource is useful when you need to grasp the conceptual basis for designing and implementing multidimensional data solutions.
Common Limitations or Challenges
This document focuses on the *modeling* aspects of multidimensional databases. It does not provide practical implementation details for specific database systems or programming languages. It also doesn’t cover recent advancements in OLAP technology that have emerged since its publication. The paper assumes a solid foundation in database concepts and mathematical notation. It’s a theoretical treatment and won’t serve as a step-by-step guide to building a data warehouse.
What This Document Provides
* A formal definition of key concepts in multidimensional databases, including dimensions and cubes.
* An exploration of hierarchical relationships within dimensions.
* An introduction to operations that can be performed on these multidimensional structures.
* A discussion of how the proposed model relates to both relational database models and multidimensional arrays.
* Considerations for supporting a series of operations on cubes, preserving results and applying aggregate functions.
