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Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

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Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...
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Documents related to » engineering flowchart cad data


Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and

engineering flowchart cad data  data warehouse,data warehouse architecture,data warehouse concepts,data warehouse software,data warehousing analysis,data warehouse community,data warehouse automation,data warehousing olap Read More...
TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center
Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30

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Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

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Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

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Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

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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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Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

engineering flowchart cad data  capabilities, such as data re-engineering and cleansing, logical entity mapping, and logical attribute mapping. Informatica's products support all these capabilities and best practices for migration, helping hundreds of leading organizations to migrate data and implement application projects while meeting timescales, budgets, and data quality requirements. For more information, please visit www.informatica.com/solutions/technology/migration to view the white paper, Accelerate Application Data Migration Read More...
Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization
Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches

engineering flowchart cad data  defined by the Internet Engineering Task Force (IETF) as the accepted standard for protecting data in transit over an untrusted network for Layer 3 protocols. IPSec is the mandated best practice for securing block-based storage protocols iSCSI, iFCP and FCIP. It is also quickly becoming the standard for protecting applications and data inside the enterprise network. IPSec provides three levels of data security: confidentiality, authentication and integrity. Confidentiality: Keeping the data secret. IPSec 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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The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

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The Importance of a Single Product for Data Quality and Data Integration
Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business

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The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding

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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

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Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

engineering flowchart cad data  calls for a considerable engineering skill set and resource. Despite the need for this large engineering investment, many organizations are still willing to take the plunge. However, the organizations that are more “Hadoop mature” have realized the critical point with the platform: although Hadoop can be engineered to do a good job of processing data, storing it, and providing routine reporting, the solution cannot be used as an ad hoc, interactive analytic platform. This is because Hadoop is very Read More...

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