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Questions and Answers
What is a key characteristic of Data Warehouses (DWs) in terms of data organization?
What is a key characteristic of Data Warehouses (DWs) in terms of data organization?
- Summarized (correct)
- Distributed
- Normalized
- Hierarchical
What type of data does a Data Warehouse typically store?
What type of data does a Data Warehouse typically store?
- Transactional data
- Time-series data (correct)
- Unstructured data
- Real-time data
How is a Data Warehouse typically accessed?
How is a Data Warehouse typically accessed?
- Through a desktop application
- Through a command-line interface
- Through a mobile app
- Through a web interface (correct)
What is a key benefit of a Data Warehouse's nonvolatile nature?
What is a key benefit of a Data Warehouse's nonvolatile nature?
What is a key characteristic of a Data Warehouse in terms of its data structure?
What is a key characteristic of a Data Warehouse in terms of its data structure?
What do data warehouses primarily do?
What do data warehouses primarily do?
What do data warehouses help with?
What do data warehouses help with?
What is a key characteristic of data warehouses?
What is a key characteristic of data warehouses?
What do data warehouses use to support decision making?
What do data warehouses use to support decision making?
What is a benefit of using data warehouses?
What is a benefit of using data warehouses?
What type of software is responsible for collecting data?
What type of software is responsible for collecting data?
What is the main purpose of a data warehouse?
What is the main purpose of a data warehouse?
What is the relationship between data acquisition software and a data warehouse?
What is the relationship between data acquisition software and a data warehouse?
What is the role of a data warehouse in the data processing pipeline?
What is the role of a data warehouse in the data processing pipeline?
What is the primary function of the data warehouse component?
What is the primary function of the data warehouse component?
What does integration of analytical resources aim to achieve?
What does integration of analytical resources aim to achieve?
What is the primary objective of integrating analytical resources?
What is the primary objective of integrating analytical resources?
What is implied by the integration of analytical resources?
What is implied by the integration of analytical resources?
What is the outcome of integrating analytical resources?
What is the outcome of integrating analytical resources?
What is the focus of integrating analytical resources?
What is the focus of integrating analytical resources?
What is the primary purpose of the ETL process in a data warehouse?
What is the primary purpose of the ETL process in a data warehouse?
What is the main function of the middleware in a data warehouse architecture?
What is the main function of the middleware in a data warehouse architecture?
What type of applications are typically built on top of a data warehouse?
What type of applications are typically built on top of a data warehouse?
What is the primary benefit of using a data mart?
What is the primary benefit of using a data mart?
What is the purpose of the data replication process in a data warehouse?
What is the purpose of the data replication process in a data warehouse?
What is the characteristic of a three-tier architecture in a data warehouse?
What is the characteristic of a three-tier architecture in a data warehouse?
What is the main purpose of metadata in a data warehouse?
What is the main purpose of metadata in a data warehouse?
What is the primary function of the OLAP tool in a data warehouse?
What is the primary function of the OLAP tool in a data warehouse?
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Study Notes
Characteristics of Data Warehouses
- Data Warehouses are subject-oriented, meaning they are designed to support specific business areas or departments.
- Data Warehouses are integrated, combining data from various sources into a single, unified view.
- Data Warehouses are time-variant, storing data over time to enable trend analysis and historical comparisons.
- Data Warehouses are nonvolatile, meaning data is not changed or updated once it is stored.
- Data Warehouses are summarized, providing aggregated data to support fast query performance and analysis.
- Data Warehouses are not normalized, allowing for denormalization to improve query performance.
- Data Warehouses contain metadata, which provides information about the data itself.
- Data Warehouses can be web-based, relational, or multi-dimensional, and can operate on a client-server architecture.
- Data Warehouses detect trends, deviations, and long-term relationships, enabling forecasting and decision-making.
Data Warehouse Architecture
- The three-tier architecture of a Data Warehouse consists of:
- Data acquisition software (back-end)
- The data warehouse that contains the data and software
- Applications (front-end)
Data Warehouse Components
- Data sources:
- ERP (Enterprise Resource Planning)
- Legacy systems
- POS (Point of Sale)
- External data
- OLTP (Online Transactional Processing) systems
- Web data
- ETL (Extract, Transform, Load) process
- Data marts:
- Marketing
- Engineering
- Finance
- Metadata management
- Analytical tools:
- OLAP (Online Analytical Processing)
- Data mining
- Dashboard
- API (Application Programming Interface)
- Custom-built applications
- Middleware and replication services
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