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Displaying 375–390 (of 607)

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Title Popularity * Date
Passive Indexes Summary
The standard practices of information management that sufficed in an earlier day and age often do not apply to archival data.

Topics: Information Management, Storage

by Bill Inmon | 0 comments
14-08-2008
Information Agility Summary
In order to create an agile foundation, of data, data must be stored at the most granular level.

Topics: Business Intelligence

by Bill Inmon | 0 comments
07-08-2008
Six Architectural Styles of Data Hubs Summary
What exactly do data hubs offer? The answer to that really depends on the type of hub being considered. This article briefly review six common styles of hub from the perspective of their architectures.

Topics: Business Intelligence

by Malcolm Chisholm | 0 comments
06-08-2008
Intelligent Integration Depends on Business Intelligence, Part 3 Summary
In this article, Devlin discusses how business intelligence skills can contribute to the user interface for SOA projects.

Topics: Business Intelligence, Service Oriented Architecture (SOA)

by Barry Devlin | 0 comments
06-08-2008
Business Intelligence in the Cloud: Sorting Out the Terminology Summary
Colin White explains the technologies behind the various terms currently being used to describe hosted business intelligence solutions and provides an overview of the capabilities they provide.

Topics: SaaS (Software as a Service), Business Intelligence, Cloud Computing

by Colin White | 0 comments
30-07-2008
Centralized Data, Decentralized Decisions The Eternal Conflict Summary
Perhaps every permutation between centralization of data and decentralization of decision making has been tried, and there is, as of yet, no standard industry best practice.

Topics: Data Warehousing

by Bill Inmon | 0 comments
24-07-2008
Divide and Conquer Summary
Read this philosophical discussion about the proliferation of data marts.

Topics: Data Warehousing, Data Marts

by Bill Inmon | 0 comments
17-07-2008
Structural Design Patterns – Data Modeling Summary
There are problems and design flaws encountered in E-R modeling such as anti-patterns "fan trap" and chasm trap.” This article provides a set of design patterns that are reusable solutions to commonly occurring problems.

Topics: Data Warehousing, Data Marts

by Vinay Prasad, Jamuna Ravi | 0 comments
16-07-2008
How Much Historical Data is Enough? Summary
There are many factors that impact the amount of historical data a corporation requires.

Topics: Data Warehousing, Information Management

by Bill Inmon | 0 comments
10-07-2008
Time for a New Approach Summary
It is time to change the data warehouse development life cycle.

Topics: Data Warehousing, Business Intelligence

by Don Price | 0 comments
09-07-2008
Normalizing Reference Data Summary
Many databases are created in third, or a higher, normal form only to be populated with reference data that is chaotic and self-evidently nonstandard. This can have a profound negative impact that offsets the main advantage of a normalized database design

Topics: Information Management, Metadata

by Malcolm Chisholm | 0 comments
09-07-2008
Using Enterprise 2.0 for Business Intelligence, Part 5 Summary
In this fifth article in a continuing series, Colin White looks at using web syndication techniques in a business intelligence environment.

Topics: Data Integration

by Colin White | 0 comments
25-06-2008
Targeting Healthcare Business Intelligence Applications Summary
Next time you are leading or participating in a stalled project, or find that your user community is stalled in some way, think of targeting the project or application differently – either faster, slower, higher or lower.

Topics: Business Intelligence

by Scott Wanless | 0 comments
24-06-2008
Building the Inexpensive Data Warehouse Summary
There are alternatives that have the potential for greatly lowering the price of building and operating a data warehouse.

Topics: Data Warehousing, Appliances

by Bill Inmon | 0 comments
12-06-2008
Common Decision Support System Architectural Patterns Summary
It is likely that historical decision support system architectural patterns will persist with service-oriented and message-based implementations of decision support systems.

Topics: Business Intelligence, Architecture, Decision Support Systems

by Dan Power | 0 comments
05-06-2008

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