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Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

data mining ilm  of Prefabricated Modular Data Centers Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and Read More...
Eliminating Mining Industry Profitability Killers through a Common Decision Environment
Mining corporations and their operating units are under constant pressure to improve financial performance. Efforts to become financially healthy are hampered

data mining ilm  Mining Industry Profitability Killers through a Common Decision Environment Mining corporations and their operating units are under constant pressure to improve financial performance. Efforts to become financially healthy are hampered by the operational profitability killers embedded in traditional processes. Find out how technology-supported collaborative decision making drives key efficiencies at all stages of the asset lifecycle, from planning and construction through production and into 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

data mining ilm  Data Protection Playbook: Network Security Best Practice for Protecting Your Organization Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. CipherOptics makes data protection simple. Whether you need to secure data flows over your application environment or encrypt data in motion across the network, CipherOptics makes it easy. Our Read More...
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

data mining ilm  Steps to Manage Data Quality with SQL Server Integration Services Melissa Data''s Data Quality Suite operates like a data quality firewall '' instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : Read More...
Top Software for Mining Companies
For your own customized comparison reports, select a category below: ERP & CMMS for Mining. EAM for Mining. Accounting Software Systems.

data mining ilm  Software for Mining Companies Comparing software solutions for mining companies can be difficult and time-consuming—but at TEC we make it quick and easy In just seconds, you can get free side-by-side software comparison reports. Choose from all the leading vendors—including Mincom, IFS, Microsoft, SAP, Lawson, Pronto Software, Infor, Mapcon Technologies, Bell Business Solutions, TARGIT, IBM, QlikTech International, Oracle—and many more. For your own customized comparison reports , select a Read More...
Mining & Quarrying
Mining is the extraction from the earth of materials used in different human activities (industry, trade, energy production, etc.). There are four major types

data mining ilm  & Quarrying Mining is the extraction from the earth of materials used in different human activities (industry, trade, energy production, etc.). There are four major types of materials: precious metals and minerals (gold, diamonds, silver, etc.); materials used to produce energy (coal, uranium, etc.); base metals (copper, iron, etc.); and building materials (stone, sand, gravel) extracted from quarries, which are open-pit mines. There are two major types of activities specific to the mining industry: Read More...
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

data mining ilm  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 traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the Read More...
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

data mining ilm  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 make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, Read More...
Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

data mining ilm  to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More...
Data Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?

data mining ilm  Afford Not To? Spiraling data storage requirements are straining many companies'' abilities to keep pace. One obvious solution is storage in the cloud—but concerns regarding security, speed, and accessibility remain. Or do they? In Data Storage in the Cloud—Can You Afford Not To? , you''ll discover a cloud storage solution that offers you high-security dual-level encryption (SSLv3 and 256-bit AES) data accessibility from anywhere lower costs due to the economies of scale of cloud storage providers high Read More...
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

data mining ilm  Basics: Unscrubbed Data Is Poisonous Data Introduction A manufacturing company experienced continually increasing overhead costs in its purchasing and materials departments. It also began to see increased inventory levels and production line delays. A consulting firm was brought in to analyze the company''s materials management processes and the level of competence of its materials and procurement staff. After mapping the entire process, from the creation of a bill of materials through post-sales Read More...
Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined

data mining ilm  leading causes of downtime, data loss and hardware damage: power problems and temperature. As a global leader in network-critical physical infrastructure (NCPI) solutions, APC sets the standard in its industry for quality, innovation and support. Source : APC Resources Related to Data Center Project Management : Data Center (Wikipedia) Project Management (Wikipedia) Data Center Projects: Project Management Data Center Project is also known as : Project Management , Internalize Data Centers , Data Center Read More...
Containerized Power and Cooling Modules for Data Centers
Standardized, pre-assembled, and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings

data mining ilm  and Cooling Modules for Data Centers Standardized, pre-assembled, and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings of 13% or more compared with traditional data center power and cooling infrastructure. Facility modules, also referred to in the data center industry as containerized power and cooling plants, allow data center designers to shift their thinking from a customized “construction” mentality to a standardized Read More...
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

data mining ilm  Cleansing Customer and Product Data Developing a Universal Approach to Cleansing Customer and Product Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Founded in 1972, SAP has a rich history of innovation and growth as a true industry leader. SAP currently has sales and development locations in more than 50 countries worldwide and is listed on several exchanges, including the Frankfurt Stock Exchange and NYSE under the symbol SAP. Read More...
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

data mining ilm  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More...

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