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Questions and Answers
What is the primary purpose of a Data Warehouse?
What is the primary purpose of a Data Warehouse?
What is Business Intelligence (BI) primarily used for?
What is Business Intelligence (BI) primarily used for?
What is the main difference between a Data Warehouse and a Data Mart?
What is the main difference between a Data Warehouse and a Data Mart?
What is the primary purpose of data warehousing?
What is the primary purpose of data warehousing?
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What is the primary benefit of using Data Marts?
What is the primary benefit of using Data Marts?
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Who is often associated with the development and popularization of data warehousing and related concepts?
Who is often associated with the development and popularization of data warehousing and related concepts?
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What is the stage of data warehousing where data is copied to a server from an operating system?
What is the stage of data warehousing where data is copied to a server from an operating system?
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What is the characteristic of a Real-time Data Warehouse?
What is the characteristic of a Real-time Data Warehouse?
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What is the primary function of Data Warehousing tools?
What is the primary function of Data Warehousing tools?
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What is the basis of Data Warehouse Architecture?
What is the basis of Data Warehouse Architecture?
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What is the role of Data Analytics in Business Intelligence?
What is the role of Data Analytics in Business Intelligence?
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What is the primary difference between data warehousing and data analytics?
What is the primary difference between data warehousing and data analytics?
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What is the main benefit of using Data Marts in an organization?
What is the main benefit of using Data Marts in an organization?
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What is the role of the central repository in Data Warehouse Architecture?
What is the role of the central repository in Data Warehouse Architecture?
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What is the characteristic of an Integrated Data Warehouse?
What is the characteristic of an Integrated Data Warehouse?
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What is the relationship between data warehousing and data analytics?
What is the relationship between data warehousing and data analytics?
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What is the primary purpose of data warehousing?
What is the primary purpose of data warehousing?
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Who is credited with developing the term 'business data warehouse'?
Who is credited with developing the term 'business data warehouse'?
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What is the term used to describe data warehousing in simple words?
What is the term used to describe data warehousing in simple words?
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What was introduced in 1983 specifically designed for decision support?
What was introduced in 1983 specifically designed for decision support?
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What is the relationship between data warehousing and data mining?
What is the relationship between data warehousing and data mining?
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What is the core of the Business Intelligence (BI) system?
What is the core of the Business Intelligence (BI) system?
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What was published in 1992 by Bill Inmon?
What was published in 1992 by Bill Inmon?
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What is the purpose of data marts?
What is the purpose of data marts?
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Study Notes
Data Warehousing
- A process used to collect and manage data from multiple sources into a centralized repository to drive actionable business insights.
- It is the core of the BI system and helps make better business decisions.
- Also known as “single source of truth”.
History of Data Warehousing
- The concept dates back to the late 1980s when IBM researchers Barry Devlin and Paul Murphy developed the “business data warehouse”.
- 1960s: General Mills and Dartmouth College developed the terms “dimensions” and “facts”.
- 1970s: ACNielsen and IRI provided dimensional data marts for retail sales.
- 1970s: Bill Inmon defined and discussed the term Data Warehouse.
- 1983: Teradata introduced the DBC/1012 database computer for decision support.
- 1988: Barry Devlin and Paul Murphy published the article "An architecture for a business and information system".
- 1991: Prism Solutions introduced Prism Warehouse Manager, software for developing a data warehouse.
- 1992: Bill Inmon published the book "Building the Data Warehouse".
How it Works
- Combines information from multiple sources into one comprehensive database.
- Companies use this information to analyze their customers.
- Related to data mining, which looks for meaningful data patterns in huge data volumes.
Data Warehousing and Business Intelligence
- A Data Warehouse is a consolidation of data from multiple sources designed to support strategic and tactical decision making.
- The primary purpose of DW is to provide a coherent picture of the business at a point in time.
- Business Intelligence (BI) involves data preparation, data analytics, and data visualization to transform raw data into meaningful patterns.
Data Marts
- A subset of a data warehouse focused on a particular line of business, department, or subject area.
- Improves team efficiency, reduces costs, and facilitates smarter tactical business decision-making.
- Makes specific data available to a defined group of users, allowing them to quickly access critical insights.
History of Data Marts
- Evolved as a response to the need for more specialized and focused data warehousing solutions.
- Bill Inmon and Ralph Kimball are associated with the development and popularization of data warehousing and related concepts.
General Stages of Data Warehousing
- Offline Operational Database: Data is copied to a server from an operating system to avoid impacting performance.
- Offline Data Warehouse: Data is regularly updated from the operational database to derive useful business insights.
- Real-time Data Warehouse: Updates are made in real-time whenever a transaction takes place in the operational database.
- Integrated Data Warehouse: Every transaction is updated simultaneously in the data warehouse, and the warehouse generates transactions forwarded to the operational database.
Data Warehouse Architecture
- Based on a Relational database management system server that functions as the central repository for informational data.
- Operational data and processing are separate from data warehouse processing.
- The central information repository is surrounded by key components designed to make the environment functional, manageable, and accessible.
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Description
Learn about the process of collecting and managing data from multiple sources to drive business insights and make better decisions.