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Data Integration is the problem of combining data residing at different sources and providing the user with a unified view of these data. This important problem emerges in a variety of situations both commercial (when two similar companies need to merge their databases) and scientific. Data integration appears with increasing frequency as the volume and the need to share existing data increases.
 
Results 1 - 25 of 80 matches Sort Results By : Published Date | Title | Company name

5 Reasons to Switch from Custom Code to Appliances for Integration Projects

By : Cast Iron Systems Published Date: Feb 14, 2008
Traditionally companies had just two choices for their integration needs, complex and expensive platforms like EAI or write custom code. Learn about the "hidden costs" of custom code and discover five reasons why companies are switching to Integration Appliances that use a simple “configuration, not coding” approach to integration.
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Cast Iron Systems

Advanced Global Name Recognition Technology

By : IBM-America Published Date: Dec 12, 2006
The purpose of this paper is to highlight the issues, requirements, and technologies available for automated advanced name recognition.
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IBM-America

Advances in Data Warehouse Performance

By : IBM-America Published Date: May 30, 2008
WinterCorp analyzes IBM's DB2 Warehouse and how it addresses twin challenges facing enterprises today: improving the value derived from the torrents of information processed every day, while lowering costs at the same time. Discover why WinterCorp believes the advances in data clustering strategies and intelligent software compression algorithms in IBM's Data Warehouse improves performance of business intelligence queries by radically reducing the I/O's needed to resolve them.
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IBM-America

Automating Data Flows to your Business Intelligence System

By : Tidal Software Published Date: Sep 03, 2008
Businesses can gain greater value from their BI investment by improving the way in which data flows to the BI system are managed. Many problems result when the ETL process is handled by a patchwork of scripting, custom coding, and various built-in schedulers that are part of existing ETL solutions, because these systems do not provide end-to-end execution, monitoring, and control of the ETL process.
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Tidal Software

Building a Business Case for Customer-Centric Master Data Management: Don’t Forget the ROI

By : Siperian Published Date: Jan 24, 2007
Discover the essential steps to delivering a solid business case for the right customer-centric MDM architecture and achieve maximum ROI.
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Siperian

Building the next generation of IT with virtualization

By : HP Published Date: Oct 09, 2008
In an effort to stay ahead of the competition, companies have poured capital resources into information technology. In many cases, this has been done on a group-by-group basis, with each line of business creating its own infrastructure silo. Each silo had its own systems, servers, storage, licenses, and support teams—and each shouldered the total cost of owning and operating a standalone infrastructure.Learn more by downloading this paper.
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HP

Business Intelligence for Mid-Size Organizations: It's Not Just for Industry Giants

By : BusinessObjects Published Date: Jan 30, 2007
Download this step by step guide to learning how mid-size companies can benefit from Business Intelligence. You'll learn the benefits of BI and why mid-size companies need it for effective decision-making and improved results.
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BusinessObjects

Business-Oriented Architecture: Combining BPM and SOA for Competitive Advantage

By : Lombardi Software Published Date: Dec 07, 2006
In this paper, we will discuss the benefits of BPM and SOA in more detail and show how leading companies have recognized that implementing BPM and SOA together gives them unique capabilities.
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Lombardi Software

Centralized Data Backup and Your WAN

By : Riverbed Technology Published Date: Nov 04, 2009
Download this paper and learn about a proven strategy for combining WAN-based backup with WAN optimization solutions.
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Riverbed Technology

Converging Text and BI: The Case for a Content Mining Platform

By : Clarabridge Published Date: Dec 06, 2006
This white paper describes how the Clarabridge Content Mining Platform avoids the pitfalls of previous approaches to unstructured analysis, and capitalizes on lessons learned from solving similar problems in the structured domain.
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Clarabridge

Customer Video: HP Pelzer

By : IBM-America Published Date: Aug 31, 2009
HP Pelzer find perfect harmony with DB2, Intel and SAP
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IBM-America

Customer Video: SAP IT Chooses DB2

By : IBM-America Published Date: Aug 31, 2009
SAP IT chooses DB2 for the SAP Corporate Business System
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IBM-America

Data Management for Business Intelligence

By : SAP Published Date: Aug 21, 2009
As the sheer amount of information available for Business Intelligence (BI) applications has grown, and the sophistication of BI capabilities has accelerated, organizations are striving to improve time-to-information for business users.
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SAP

Data Quality: A Survival Guide to Marketing

By : SAP Published Date: Aug 21, 2009
In this paper, Frank Dravis, Six Factors Consulting, discusses how even with the finest marketing organizations, the success of marketing ultimately comes down to the data.
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SAP

Data Quality: A Survival Guide to Marketing.

By : SAP Inc. Published Date: Jul 28, 2009
In this paper, Frank Dravis, Six Factors Consulting, discusses how even with the finest marketing organizations, the success of marketing ultimately comes down to the data.
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SAP Inc.

Deliver Application Integration Projects in Days

By : Cast Iron Systems Published Date: Feb 14, 2008
Discover how to complete more application integration projects by delivering in days what used to take months of custom programming.  Find out how an appliance-based approach to application integration uses “configuration, not coding” to dramatically simplify and accelerate integration projects, while cutting costs by up to 80%.
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Cast Iron Systems

Dell Automated Deployment (Honeycutt)

By : Dell Published Date: Oct 21, 2008
Dell's automated deployment solution meets the challenges that IT managers face, according to Windows expert and author Jerry Honeycutt.
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Dell

Deploying Microsoft SharePoint Server with NetApp Networked Storage

By : NetApp Published Date: Jun 09, 2009
This paper focuses generally on optimal storage and storage management for SharePoint and specifically evaluates NetApp's approach, detailing how the capabilities in NetApp's DataONTAP and SnapManager for SharePoint Server offerings help to drive storage efficiency, reduce cost, and exclude complexity in a comprehensive SharePoint implementation. It is not so much a "how to" guide, but rather a "why to" explanation. Learn more today!
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NetApp

Discover Low-Cost Data Handling Breakthrough: MSSO

By : Business Intelligence Inc. Published Date: Nov 18, 2006
Surprisingly low-cost technology MSSO/SD4E transforms Excel into an incredibly powerful and completely secure Business Intelligence tool capable of quickly and easily manipulating and analyzing live data directly from multiple, disparate data sources, generating even the most complex and sophisticated analytical reports with a simple keystroke.
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Business Intelligence Inc.

Driving A Single View of The Customer

By : Informatica Published Date: Sep 28, 2007
The purpose of this white paper is to outline the importance of data quality with reference to single view of customer. In any organization SVC is the foundation of successful customer relationship management (CRM).
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Informatica

Economic Catalyst webcast: Four Pillars of Strategic Storage

By : IBM-America Published Date: Dec 30, 2008
Research giant Forrester estimates that on average, data repositories for large applications grow by fifty percent annually. However, up to half of all that data can be duplicate or otherwise unnecessary. With no end in sight for the increase of raw data (both structured and unstructured), organizations must be ever more strategic about where and how to store enterprise information. Meanwhile, a tightening economy is putting pressure on costs, just as compliance mandates call for greater visibility into processes and data. What to do? Register for this Web Seminar to learn the four pillars of strategic storage, and how they can be used to simultaneously reduce costs, while improving speed, accuracy and accountability. The four pillars will be discussed in detail, with real-world examples of each: deep compression, database archiving,de-duplication thin provisioning.
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IBM-America

Enterprise Application Integration

By : Visible Published Date: Aug 21, 2009
The biggest problem facing CIO's today is their existing applications. This paper describes the problem and describes our permanent solution, Enterprise Application Integration.
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Visible

Enterprise Master Data Management: An MDM Institute MarketPulse In-Depth Report

By : IBM-America Published Date: Dec 30, 2008
Corporate master data is a critical asset that must be increasingly managed within and beyond the enterprise, primarily to solve business problems in compliance, customer service, sales, and marketing. Such master data may be indentified, harmonized and integrated at multiple levels of the software stack to materialize a single customer view (or supplier, product, view etc.).
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IBM-America

Exclusive Interview: John Nydam & Tom Brennan

By : Melissa Data Published Date: Nov 18, 2008
Tom Brennan and John Nydam explain the Melissa Data and Stalworth partnership, discuss the business problems caused by bad data, and describe how DQ*Plus provides a complete data quality solution for enterprise applications and commercial databases.
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Melissa Data

Facing tough IT decisions? Get insight from midsize businesses like yours.

By : IBM-America Published Date: Aug 25, 2009
Facing tough IT decisions? Get insight from midsize businesses like yours.
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IBM-America
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More Data Management Topics
Application Integration, Analytical Applications, Business Intelligence, Configuration Management, Database Development, Data Integration, Data Mining, Data Protection, Data Quality, Data Replication, Database Security, EDI, SOAP, Service Oriented Architecture, Web Service Management, Data Warehousing
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