1 Data Warehouse Fundamentals

Data Warehousing and Data Mining · Unit 1

Data Warehouse Fundamentals

Exam-focused notes for Data Warehouse Fundamentals (Data Warehousing and Data Mining, BIT454): what the TU syllabus asks and how it has actually been tested, with 5 solved past questions from this unit.

What this unit covers

  • Data warehouse definition and characteristics
  • Operational database vs data warehouse
  • Data warehouse components and architecture
  • Data warehouse conceptual modeling techniques
  • OLAP technology and multidimensional analysis
  • Full cube and closed cube concepts
  • Beam search mechanism

Operational database vs data warehouse

20815 marks

Differentiate between data warehouse and operational database. [5]

Aspect Operational Database Data Warehouse ----------------------------------------------- Purpose Supports day-to-day business operations and transactions Supports analytical queries and decision-making Data Nature Current, real-time operational data Histo...

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OLAP technology and multidimensional analysis

20815 marks

Write short notes on: (a) OLAP (b) Laplace Smoothing [5]

Definition: OLAP is a technology that enables users to quickly analyze summarized and consolidated data from a data warehouse or data mart using multidimensional views. Key Characteristics: - Supports complex analytical queries on large volumes of historica...

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Beam search mechanism

20815 marks

Define full cube. Discuss the working mechanism of beam search. [5]

A full cube in the context of data warehousing and OLAP (Online Analytical Processing) refers to a complete multidimensional data structure where all possible combinations of dimension members are materialized and stored with their corresponding aggregate v...

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Data warehouse conceptual modeling techniques

20815 marks

Explain any two conceptual modeling techniques of data warehousing. [5]

Conceptual modeling in data warehousing involves designing the logical structure of data to support analytical queries and decision-making. Two major techniques are: --- Definition: The star schema is a denormalized database design where a central fact tabl...

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Full cube and closed cube concepts

2082.15 marks

Differentiate between full cube and closed cube. [5]

A full cube is a 3D representation of a cube where all six faces are visible in the isometric or orthographic projection. It shows the complete structure of the cube with: - Top face visible - Front face visible - Right side face visible - All three visible...

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