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Course Course Title Professor Term MeetingsBCIS 4660.001 Introduction to Data Warehousing Dr. Obi Ogbanufe Spring 2024 Wednesdays3:30pm6:20pm.Professors Contact Information Office Phone Office Location
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01
Identify the purpose of the data warehouse and its goals.
02
Determine the stakeholders and their specific needs.
03
Outline the architecture of the data warehouse including hardware and software requirements.
04
Define the sources of data that will feed into the data warehouse.
05
Explain the data modeling techniques that will be used.
06
Describe the ETL (Extract, Transform, Load) processes.
07
Discuss data governance and security measures.
08
Prepare documentation and presentations for stakeholders.

Who needs introduction to data warehousing?

01
Data analysts and business intelligence professionals.
02
Database administrators and data engineers.
03
Executives and decision-makers in organizations.
04
Students and academics studying data management.
05
Anyone involved in data-driven decision-making processes.
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Introduction to data warehousing refers to the foundational concept of collecting, storing, and managing large volumes of data from various sources in a central repository. This allows for efficient data analysis and reporting.
Organizations that need to manage large datasets for business intelligence, analytics, and reporting purposes are typically required to implement a data warehousing solution.
Filling out an introduction to data warehousing typically involves defining the data sources, setting up the architecture, choosing the appropriate tools, and outlining the processes for data extraction, transformation, and loading (ETL).
The purpose of introducing data warehousing is to enable businesses to consolidate data from multiple sources, improve data quality, facilitate reporting and analytics, and support decision-making processes.
Information to be reported on introduction to data warehousing may include data sources, data models, architecture design, ETL processes, and expected outcomes from the data warehouse.
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