Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 1
•Course Code: 1166162-01+02
•Course Name: Data Structure
•Period: Spring 2017
•Lecturer: Prof. Dr. LEE, Sync Sangwon
•Department: Information & Electronic Commerce
•University: WONKWANG
Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 2
• 02. Data Warehouse
Contents
Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 3
• = Integrated systems with online multi-dimensional analysis without reprogramming by integrating historical data (internal data and external data) by the subject
http://blog.trivadis.com
Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 4
• Data Warehouse (DW)
• = Database for DSS(Decision Support Systems)
• = Integratedsystems with online multi-dimensional analysis without reprogramming by integrating historical data (internal data and external data) by the subject
•Linked with databases of transaction processing systems
02. Data Warehouse
http://blueapple11.blogspot.com
Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 5
• = Integrated systems with onlinemulti-dimensional analysis without reprogramming by integrating historical data (internal data and external data) by the subject
•Immediately and networked
http://ink.springer.com
Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 6
• Data Warehouse (DW)
• = Database for DSS(Decision Support Systems)
• = Integrated systems with online multi-dimensional analysis without reprogramming by integrating historical data (internal data and external data) by the subject
•(Theoretically) analyze data 60-dimensionally
02. Data Warehouse
http://www.1keydata.com
Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 7
• = Integrated systems with online multi-dimensional analysis without reprogramming by integrating historical data (internal data and external data) by the subject
•End-user computing
• A user can manage data directly.
• No additional programming is needed.
http://deltekvisionblog.wordpress.com
Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 8
• Data Warehouse (DW)
• = Database for DSS(Decision Support Systems)
• = Integrated systems with online multi-dimensional analysis without reprogramming by integrating historical data(internal data and external data) by the subject
•Generally 3 to 5 years
02. Data Warehouse
http://www.neefull.com
Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 9
• = Integrated systems with online multi-dimensional analysis without reprogramming by integrating historical data (internal dataand external data) by the subject
•Acquired from operation systems (sales, finance, human resources, …)
http://ceus.uni-bamberg.de
Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 10
• Data Warehouse (DW)
• = Database for DSS(Decision Support Systems)
• = Integrated systems with online multi-dimensional analysis without reprogramming by integrating historical data (internal data and external data) by the subject
•Acquired from secondary data
02. Data Warehouse
http://homepages.thm.de
Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 11
• = Integrated systems with online multi-dimensional analysis without reprogramming by integrating historical data (internal data and external data) by the subject
•Managing thematically by the topic
http://datawarehouse4u.info
Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 12
02. Data Warehouse
Jae-Hee Cho, OLAP Technology, Sigma Insight
• Data Warehousing
• = Sequential procedure to establish and utilize DW(Data Warehouse)
Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 13 Jae-Hee Cho, OLAP Technology, Sigma Insight
Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 14
02. Data Warehouse
Jae-Hee Cho, OLAP Technology, Sigma Insight
• Data Mart (DM)
• = User-centric DW(Data Warehouse)
• Types of DM
• Dependent DM (top-down approach)
• Independent DM (bottom-up approach)
Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 15
• Reporting
• OLAP
• Data mining
Jae-Hee Cho, OLAP Technology, Sigma Insight
Prof. Dr. SSL {IDEA, STEM, RF, FP, C, LDV} / p. 16
• Metadata
• = Data of data properties in order to manage data
• Data properties
• Data user
• Data goal
• Data location
• …
• Types of metadata
• Metadata for administrator
• Metadata for user
02. Data Warehouse
http://www.tutorialspoint.com