Project Deliverable 3 Database and Data Warehousing Design
Design principles for databases and data warehousing solutions.
Christopher Lee
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Project Deliverable 3 Database and Data Warehousing Design
Name:
Instructor:
Date of submission:
As the Chief Information Officer (CIO) of a data collection company, you have been tasked with
selecting a data warehouse vendor to enhance your company’s analytics operations. The company collects
a vast amount of data from various sources such as page visits, user feedback, status codes, and more.
This data is critical for future business analysis and decision-making.
1. Data Warehouse Requirements: Based on the company’s data needs, explain the key
requirements for selecting a data warehouse solution. In your explanation, consider the
following aspects:
o Data integration across various systems
o The need for advanced reporting and analytics
o Knowledge discovery and data mining
o Executive information systems and performance optimization
o Data quality and cleansing process
2. Database Schema and Design: Develop an Entity-Relationship (ER) diagram that reflects the
primary entities and their relationships within the data warehouse. Include the following entities
in your ER diagram:
o Page, Visit, Client, Registered User, Payment, StatusCode, TimePeriod
o Ensure that you define the primary and foreign keys for the entities and how they are
linked.
o Explain the schema design for these tables.
3. Data Flow Diagram: Create a Data Flow Diagram (DFD) to represent how data flows through
the system, starting from data collection through to its storage in the data warehouse. The DFD
should include the processes involved in data extraction, transformation, and loading (ETL), and
how data is ultimately made available for reporting and analysis.
Name:
Instructor:
Date of submission:
As the Chief Information Officer (CIO) of a data collection company, you have been tasked with
selecting a data warehouse vendor to enhance your company’s analytics operations. The company collects
a vast amount of data from various sources such as page visits, user feedback, status codes, and more.
This data is critical for future business analysis and decision-making.
1. Data Warehouse Requirements: Based on the company’s data needs, explain the key
requirements for selecting a data warehouse solution. In your explanation, consider the
following aspects:
o Data integration across various systems
o The need for advanced reporting and analytics
o Knowledge discovery and data mining
o Executive information systems and performance optimization
o Data quality and cleansing process
2. Database Schema and Design: Develop an Entity-Relationship (ER) diagram that reflects the
primary entities and their relationships within the data warehouse. Include the following entities
in your ER diagram:
o Page, Visit, Client, Registered User, Payment, StatusCode, TimePeriod
o Ensure that you define the primary and foreign keys for the entities and how they are
linked.
o Explain the schema design for these tables.
3. Data Flow Diagram: Create a Data Flow Diagram (DFD) to represent how data flows through
the system, starting from data collection through to its storage in the data warehouse. The DFD
should include the processes involved in data extraction, transformation, and loading (ETL), and
how data is ultimately made available for reporting and analysis.
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Subject
Information Technology