Download Data Mart

LM 7
Data Warehouse
Dr. Lei Li
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Learning Objectives
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Describe the needs for data warehouse
Describe the three levels of a data warehouse
Explain the independent and dependent data mart
Explain the basic concept of big data, NoSQL, OLAP, data
visualization, and data mining.
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Data Warehouse
• A relational database designed for query and
analysis.
• Subject-oriented: e.g. customers, patients,
students, products
• Integrated: consistent naming conventions,
formats, encoding structures; from multiple data
sources
• Time-variant: can study trends and changes
• Non-updatable: read-only, periodically refreshed
• Data Mart
• A data warehouse that is limited in scope
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Why Data Warehouse?
• Integrated, company-wide view of high-quality
information (from disparate databases)
• Separation of operational and informational
systems and data (for improved performance)
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Difference between OLTP & Data
Warehouse
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Three Tier Data Warehouse Architecture
Image source: http://www.tutorialspoint.com/dwh/dwh_architecture.htm
Data Warehouse Architecture
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Data Warehouse Architecture with Data
Mart
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Data Mart
• Stand-alone data mart
• Dependent data mart
Stand-alone data mart
Image source: http://www.zentut.com/data-warehouse/data-mart/
Dependent Data Mart
Other Database Concepts
• Data mining – knowledge discovery
in database
• Big Data
• No-SQL database
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