WHITE PAPER:
When developing or reengineering the enterprise architecture, implementing fundamental data quality practices can reduce the complexity of the data management framework thus reducing effort, risk, and leading to a high degree of trust in enterprise information. Read this paper to learn more about data quality practices and core data services.
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This paper proposes several sample virtualisation architectures based on Dell's server and storage products. Architectures are divided into three main categories: Small, Medium, and Large. These categories are based on the features and capacity of each product, as well as the complexity of the overall architecture.
WHITE PAPER:
Explore architecture management with IBM. Find out how the four elements of actionable enterprise architecture can transform your business.
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This whitepaper offers a thorough checklist that should enable potential ESSO implementers to deploy the right ESSO solution which should help eliminate sign-on problems, reduce helpdesk costs, maximize user productivity, strengthen security, simplify administration and accelerate regulatory compliance.
WHITE PAPER:
This document describes how administrators can enable wireless enterprise activation for users on the BlackBerry Enterprise Server, and how users can initiate wireless enterprise activation from their handhelds.
WHITE PAPER:
This whitepaper looks at the needs of both enterprise and cloud-native workloads and how those needs can be met in a single, integrated cloud platform.
WHITE PAPER:
Service-oriented architecture (SOA) and enterprise architecture (EA) strive to tighten the business and IT alignment. Learn about the dependencies between an EA framework and an SOA strategy and how services impact the way applications are developed.
WHITE PAPER:
This paper outlines a framework and best practices for governance as it specifically relates to Service Orientated Architecture (SOA). It also introduces a Six Steps to Successful SOA Governance model.
WHITE PAPER:
Standardizing data management practices when developing the enterprise architecture lowers risk and increases consistency; Organizational trust in the data simplifies application development. This paper explores how a set of value-added data services can reduce operational costs, increase efficiency and improve the quality of enterprise data.