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View metadata, citation and similar papers at core.ac.brought to you byCOREprovided by SUN ScholarWorksA CASE STUDY FOR DATA WAREHOUSING COURSEWARE ProjectPresented to the faculty of the Department

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How to fill out design of data warehouse

01

Identify the business requirements and goals for the data warehouse.

02

Define the scope and objectives of the data warehouse project.

03

Design the data model and schema to represent the data in the warehouse.

04

Create a plan for extracting, transforming, and loading data into the warehouse.

05

Select and implement appropriate tools and technologies for the data warehouse.

06

Test and validate the design to ensure it meets the requirements.

07

Document the design and provide training to users on how to access and use the data warehouse.

Who needs design of data warehouse?

01

Businesses looking to analyze and report on large amounts of data.

02

Companies that want to improve decision-making processes through data-driven insights.

03

Organizations that need to integrate data from multiple sources for reporting and analysis purposes.

04

Data analysts and data scientists who require a centralized and structured repository of data for analysis.

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What is design of data warehouse?

The design of a data warehouse refers to the architecture and structure of the data warehouse that defines how data is collected, stored, managed, and accessed. It encompasses the design of schemas, tables, data models, ETL processes, and query mechanisms to ensure efficient data consolidation and retrieval.

Who is required to file design of data warehouse?

Typically, organizations and companies that operate data warehouses are required to file the design documentation. This may include data architects, data engineers, or database administrators responsible for the implementation and management of the data warehouse.

How to fill out design of data warehouse?

To fill out the design of a data warehouse, one must document the architecture, including data sources, data flow diagrams, data models, ETL processes, and storage specifications. This often involves using data modeling tools and standards to create clear visualizations and written descriptions that capture all pertinent information.

What is the purpose of design of data warehouse?

The purpose of the design of a data warehouse is to establish a framework for effective data management and analysis. It ensures that data is organized, integrated, and accessible for reporting and decision-making purposes, thereby supporting business intelligence initiatives.

What information must be reported on design of data warehouse?

The information that must be reported typically includes data sources, the architecture of the data warehouse, data models, ETL processes, security measures, and performance metrics. Documentation on the schema and relationships between data entities is also critical.

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