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Chapter 13
The Data Warehouse
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Design, Implementation, and Management,
Seventh Edition, Rob and Coronel
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Multidimensional Data Analysis
Techniques (continued)
Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel
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Multidimensional Data Analysis
Techniques (continued)
Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel
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Advanced Database Support
• Advanced data access features include:
– Access to many different kinds of DBMSs, flat files,
and internal and external data sources
– Access to aggregated data warehouse data as well as
to detail data found in operational databases
– Advanced data navigation
– Rapid and consistent query response times
– Ability to map end-user requests to appropriate data
source and then to proper data access language
(usually SQL)
– Support for very large databases
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Easy-to-Use End-User Interface
• Many of interface features are “borrowed”
from previous generations of data analysis
tools that are already familiar to end users
– Makes OLAP easily accepted and readily used
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Client/Server Architecture
• Provides framework within which new
systems can be designed, developed, and
implemented
– Enables OLAP system to be divided into
several components that define its architecture
– OLAP is designed to meet ease-of-use as well
as system flexibility requirements
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OLAP Architecture
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OLAP Architecture (continued)
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OLAP Architecture (continued)
• Designed to use both operational and data
warehouse data
• Defined as an “advanced data analysis
environment that supports decision making,
business modeling, and an operation’s
research activities”
• In most implementations, data warehouse
and OLAP are interrelated and
complementary environments
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OLAP Architecture (continued)
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OLAP Architecture (continued)
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Relational OLAP
• Provides OLAP functionality by using relational
databases and familiar relational query tools to
store and analyze multidimensional data
• Adds following extensions to traditional RDBMS:
– Multidimensional data schema support within
RDBMS
– Data access language and query performance
optimized for multidimensional data
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Relational OLAP
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