Data Warehousing and DSS Overview
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Questions and Answers

What is a primary purpose of a data warehouse?

  • To replace traditional database systems
  • To store only operational data
  • To support integrated data for decision making (correct)
  • To enhance real-time transaction processing

Which statement best describes the evolution of information processing?

  • It has remained static since its inception.
  • It has undergone significant changes, adapting to new technologies and requirements. (correct)
  • It is solely concerned with data storage.
  • It has primarily focused on operational data only.

What is a key aspect of the System Development Life Cycle (SDLC) paradigm shift?

  • It is designed to minimize documentation.
  • It focuses only on post-implementation review.
  • It involves a linear approach to software development.
  • It emphasizes the necessity of user involvement throughout the development process. (correct)

Who are the typical users of a data warehouse?

<p>Executives and management personnel for decision making (C)</p> Signup and view all the answers

What architectural element is fundamental to the functioning of a data warehouse?

<p>A star schema for organizing data (B)</p> Signup and view all the answers

Flashcards

Re-engineering

A process of transforming existing business processes and systems to improve their efficiency, effectiveness, and competitiveness.

Data Warehouse

A central repository for storing data from various operational systems, designed for analysis and reporting purposes.

Data Warehouse Architecture

A blueprint that describes the structure and organization of a data warehouse, including its components and their interactions.

Evolution of Information Processing

The shift from traditional transaction processing systems to systems that support decision-making by analyzing historical data.

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Decision Support System

Systems designed to support managerial decision-making by providing access to and analysis of data from various sources.

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Study Notes

Setting the Stage for Re-engineering-c

  • Data warehouses originate from operational environments.
  • The architecture of a data warehouse is tailored to its function.
  • The methods for information processing have evolved.
  • Data from operational systems is integrated into the data warehouse.
  • The System Development Life Cycle (SDLC) has experienced paradigm shifts.
  • Decision Support Systems (DSS) support specific users.
  • User groups for DSS applications need to be identified.

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Description

Explore the foundations and architecture of data warehouses, including their evolution from operational environments. This quiz covers key concepts in the System Development Life Cycle and the importance of Decision Support Systems for various user groups.

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