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Documents related to » ilm definition of data warehousing


The Integration Factor: The Inherent Value of Best-of-Class Enterprise Solutions
Monolithic ERP systems have proved inflexible in a period of change. The cost of maintenance and modifications are often prohibitively expensive. Yet most best

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The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers
The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to

ilm definition of data warehousing  architectures data centers,data center network,scalable data center architecture,data center infrastructure,data center consolidation,data center virtualization,reference architecture data center,data centre designs,commodity data center Read More
Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting

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Linked Enterprise Data: Data at the heart of the company
The data silos of today''s business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet

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Don''t Be Overwhelmed by Big Data
Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect

ilm definition of data warehousing  big data white paper, consumer packaged goods, CPG industry, CPG big data, big data CPG, data acquisition CPG, CPG data acquisition, data CPG, CPG data, CPG LumiData Read More
Instead of Discounting, Back Some Value Out of Your Proposal
Last minute discounting has become so prevalent that many companies have come to depend on it as their default sales strategy. Employing a go-to-market strategy

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Data Warehouse vs. Data Mart-Approaches to Implementing a Data Integration Solution
There continues to be a wide variety of different approaches to building a solid data management solution for your organization, and just as many consulting

ilm definition of data warehousing   Read More
Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond
For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet

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New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

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Master Data Management and Accurate Data Matching
Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are

ilm definition of data warehousing   Read More
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

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Data Leak versus Data Flood: Problems Addressed by Data Leakage and Data Breach Solutions
Data leakage and data breach are two disparate problems requiring different solutions. Data leakage prevention (DLP) monitors and prevents content from leaving

ilm definition of data warehousing   Read More
Big Data Comes of Age: Shifting to a Real-time Data Platform
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving

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Making Big Data Actionable: How Data Visualization and Other Tools Change the Game
To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through

ilm definition of data warehousing  data visualization, data visualization tools, business intelligence, business analytics, big data analytics Read More
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

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