36 articles in this selection
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| 2009/10/09 The Trial-and-Error Method for Data Integration
Implementing a data integration program is not a task to be taken lightly. Let's take a quick look at some areas where companies tend to go wrong in data integration or extract, transform and load (ETL) processing.
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| 2009/08/10 An Architecture for Data Quality
In this article, Ralph Kimball proposes a comprehensive architecture for capturing data quality events as well as measuring and ultimately controlling data quality in the data warehouse. This scalable architecture can be added to existing data warehouse and data integration environments with minimal impact and relatively little upfront investment. Using this architecture, it is even possible to progress systematically toward a Six Sigma level of quality management. This design is in response to the current lack of a published, coherent architecture for addressing data quality issues....
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| 2009/07/31 Planning Your First Microsoft BI Solution
This article is the first in a series of articles that introduce the Microsoft BI stack. In this initial article, I define BI and describe the high-level architecture of a BI solution in general terms. I also provide some insight into the process of building a BI solution. To delve into the SQL Server BI technologies mentioned in this article, you can read the companion articles written by Derek Comingore in this issue (see "Building a Data Foundation for a BI Solution") and by Scot Reagin and me in upcoming issues....
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| 2009/07/27 Wikipedia on MapReduce
MapReduce is a software framework introduced by Google to support distributed computing on large data sets on clusters of computers. The framework is inspired by map and reduce functions commonly used in functional programming, although their purpose in the MapReduce framework is not the same as their original forms. MapReduce libraries have been written in C++, C#, Java, Python, F# and other programming languages....
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| 2009/07/22 An introduction to the Master Data Management Reference Architecture
Get a short introduction to the Master Data Management Reference Architecture for the enterprise which supports implementing multiform Master Data Management (MDM). Learn about the key concepts that drive the design of the MDM Reference Architecture and Logical System Architecture and see how to map the relevant IBM Information Management software products to the core components of the Master Data Management Reference Architecture. Each product is briefly introduced, and in the Resources section of this paper you will find a wealth of additional information for reference. Finally, you will also learn about an upcoming book, Enterprise Master Data Management: An SOA Approach Managing Core Information, that describes the MDM Reference Architecture in full detail as well as other topics related to MDM....
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| 2009/07/16 Functional Reference Architecture for Corporate Master Data Management
Master Data Management (MDM) brings about two major challenges for companies: 1) Companies need to cope with the complexity of the subject, and 2) companies see themselves confronted with a wide range of IT products and solutions for MDM. Presenting a Functional Reference Architecture for Corporate Master Data Management, the present paper identifies and describes from a business perspective functional requirements MDM software should meet. The Functional Reference Architecture provides a basic terminology, a check list, and an assessment scheme for various application scenarios, like product evaluation, roadmap planning or exchange of information and experiences. Furthermore, MDM solutions of four software providers are examined with regard to their capability to meet the functions specified in the Functional Reference Architecture....
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| 2009/07/13 Wikipedia on Master Data Management
In computing, master data management (MDM) comprises a set of processes and tools that consistently defines and manages the non-transactional data entities of an organization (also called reference data). MDM has the objective of providing processes for collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure consistency and control in the ongoing maintenance and application use of this information....
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| 2009/07/12 Principles for Implementing a Service-Oriented Enterprise Architecture
This article provides four key principles and actions an organization can undertake for implementing a Service-Oriented Enterprise Architecture (SOEA). SOEA adopts the concepts used in enterprise architecture and service-oriented systems design and adapts them to the enterprise level using service-oriented computing (SOC). A SOEA should provide the guidance to enterprise transformation of the organizational, business process management/modeling and reengineering, enterprise resources and information technology (IT) systems and application development in support of the organization. Although technical in nature, the SOEA form of architecture does not focus solely on network (i.e. infrastructure, core services), information (i.e. data, enabling services), and resources (i.e. providers and consumers of services and data) architectural views....
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| 2009/07/05 Microsoft BI Architecture and Design Guide
The Architecture and Design Guidelines for BI Applications provides prescriptive guidance on how to overcome architectural challenges and design issues when building Business Intelligence solutions using Microsoft platform. This guide is intended for software architects and developers who are developing Business Intelligence applications using SQL Server 2005 - Integration Services and Analysis Services....
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| 2009/06/26 Holistic vs Incremental approaches to BI
There is a strong link here to my Vision vs Pragmatism article. In this I argued that Vision and Pragmatism are both essential for the success of any project, be that related to change, to IT, and certainly when using IT to drive change. Unsurprisingly, similar comments apply to whether a holistic or incremental approach to BI is the superior route. However, in this case, I will come down more firmly on the side of one of the options....
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| 2009/06/24 ODS Types
The operational data store (ODS) is the original stealth structure. While there are conferences and seminars for everything under the sun from e- commerce to data warehouses to ERP there are no conferences, seminars or classes on the ODS and its supporting technology. (Or if there are, they are certainly low profile.)...
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| 2009/06/17 Casewise
Software for Business Process Analysis, Business Process Management, Enterprise Architecture and Governance, Risk & Compliance.
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| 2009/06/11 Kimball University: The Subsystems of ETL Revisited
These 34 subsystems cover the crucial extract, transform and load architecture components required in almost every dimensional data warehouse environment. Understanding the breadth of requirements is the first step to putting an effective architecture in place....
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| 2009/06/09 The future of data marts
Greenplum is announcing today a long-term vision, under the name Enterprise Data Cloud (EDC).
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| 2009/04/07 MEGA Releases New Version of Enterprise Architecture Solution
MEGA, the company that pioneered enterprise architecture (EA) and business process analysis (BPA) solutions, today introduced the 2009 edition of the MEGA Modeling Suite. This latest version of the industry-leading, strategic EA solution is a platform to help businesses cut operational costs, rationalize limited assets, and support innovation....
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| 2009/01/15 Business Process Management (BPM) - The Business Architect Must See the Forest for the Trees
Participants in business architecture discussion groups and training seminars often ask about the profile of the business architect. This is an important question because enterprises establishing and expanding business architecture efforts are seeking individuals to staff centers of excellence and project teams. What skills should such a person have? What attributes describe the business architect? In my experience, the most important attribute that I look for in a business architect is the ability to see the “forest for the trees”....
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| 2008/06/04 Expert: SOA Now 'Dominant Design' in Software
Most well-established products and services have what is called a "dominant design" methodology behind them. This same evolution from fast-paced innovation to dominant design has been taking place within the software industry -- much of the design has coa...
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| 2008/04/28 Complex Event Processing
A source of industry neutral information on applications, research, usecases, reference architectures, and developments in event processing, run by Prof David Luckham.
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| 2008/02/27 QUINT2
The following model of software quality is a superset of the ISO 9126 set of characteristics and sub characteristics. Sub characteristics are given for each of the characteristics. Section 1 gives a hierarchical overview of the Extended ISO Model, accordi...
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| 2008/01/24 BPMN Information Home
A standard Business Process Modeling Notation (BPMN) will provide businesses with the capability of understanding their internal business procedures in a graphical notation and will give organizations the ability to communicate these procedures in a stand...
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| 2008/01/07 The Zachman Institute for Framework Advancement
The Zachman Institute for Framework Advancement (ZIFA) is a network of information professionals who understand the critical role of Enterprise Architecture in the ability of the enterprise to successfully participate in the global economy of the 21st cen...
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