6
UNIVERSITY OF JYVÄSKYLÄ
DEPARTMENT OF MATHEMATICAL INFORMATION TECHNOLOGY
Lecture 2: Introduction to Business IntelligenceTIES443: Introduction to DM
What is Data Warehouse?
What is Data Warehouse?
• Defined in many different ways, but not rigorously.
– A decision support database that is maintained separately from the
organization’s operational database
– A consistent database source that bring together information from
multiple sources for decision support queries
– Support information processing by providing a solid platform of
consolidated, historical data for analysis
• Data warehousing:
– The process of constructing and using data warehouses
• A data warehouse is based on a
multidimensional data model which
views data in the form of a data cube
• We will consider different aspect of
data warehousing in the following
lecture tomorrow
UNIVERSITY OF JYVÄSKYLÄ
DEPARTMENT OF MATHEMATICAL INFORMATION TECHNOLOGY
Lecture 2: Introduction to Business IntelligenceTIES443: Introduction to DM
Data Warehouse vs. Operational DBMS
Data Warehouse vs. Operational DBMS
• OLTP (on-line transaction processing)
– Major task of traditional relational DBMS
– Day-to-day operations: purchasing, inventory, banking, manufacturing,
payroll, registration, accounting, etc.
– Aims at reliable and efficient processing of a large number of transactions
and ensuring data consistency
• OLAP (on-line analytical processing)
– Major task of data warehouse system
– Data analysis and decision making
– Aims at efficient multidimensional processing of large data volumes
• Fast, interactive answers to large aggregate queries
• Distinct features (OLTP vs. OLAP):
– User and system orientation: customer vs. market
– Data contents: current, detailed vs. historical, consolidated
– Database design: ER + application vs. star + subject
– View: current, local vs. evolutionary, integrated
– Access patterns: update vs. read-only but complex queries