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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

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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

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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

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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

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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

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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)

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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)

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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

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