Chapter 3 - Business Intelligence and Data Warehousing Flashcards
What are the 9 fundamental characteristics of Data Warehousing? (1-4)
Subject oriented
Integrated
Time variant (time series)
Nonvolatile
What are the 9 fundamental characteristics of Data Warehousing? (5-9)
Web based
Rational/multidimensional
Client/server
Real time
Includes metadata
What is a data mart?
A smaller data warehouse that focuses on a particular subject or department
What is an Operational Data Store?
A database that is used as an interim staging area for a data warehouse. Used for short-term decisions involving mission-critical applications rather than medium and long-term decisions.
What is an Enterprise Data Warehouse?
A large-scale data warehouse used across the enterprise for decision support
What is metadata?
Data about data. Describes the structure of and some meaning about data, thereby contributing to their effectiveness.
What are the 6 major components of the data warehousing process?
Data sources
Data extraction and transformation
Data loading
Comprehensive database
Metadata
Middleware Tools
What are the 5 alternative data warehousing architectures?
Independent data marts
Data mart bus architecture
Hub-and-spoke architecture
Centralized data warehouse
Federated data warehouse
How do Independent Data Marts approach data warehousing?
The DMs are developed to operate independent of each other to serve the needs of the individual organizational units.
How does Data Mart Bus Architecture approach data warehousing?
The individual data marts are linked to each other via some kind of middleware
How does Hub-and-Spoke Architecture approach data warehousing?
The focus is building a scalable and maintainable infrastructure that includes a centralized data warehouse and several dependent DMs.
How do Centralized Data Warehouses approach data warehousing?
There is a gigantic, centralized EDW that serves the needs of all organizational units.
How do Federated Data Warehouses approach data warehousing?
They use all possible means to integrate analytical resources from multiple sources to meet changing needs or business conditions.
What is the ETL process?
ETL stands for Extraction, Transformation, and Load. It involves reading the data, converting into the form that it needs to be so it can be used, and loading it into the data warehouse.
What does Enterprise Application Integration (EAI) mean?
It involves integrating application functionality and provides a vehicle for pushing data from source systems into the DW.