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Deploying High-density Zones in a Low-density Data Center
New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center

wall data  data center air. A wall or another row of racks is required to form a cold aisle in order to isolate the cold supply air. When to use this method In cases where floor space must be conserved. This method is popular because it consumes the same space as two rows of low-density racks. In data centers with hot aisle / cold-aisle layouts Trade-offs Hot aisle containment panels increase capital cost Hot aisle containment may exceed work environment policies due to high temperature Incompatible with some types Read More

Field Service Management (FSM)
Field service management (FSM) software is a set of functionalities for organizations or departments within organizations that have as main focus the intallation, maintanance, reparing, and meter r...
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Documents related to » wall data


Plant-level Systems: Facing and Dealing with Obstacles
Production supervisors and plant managers are constantly fighting problems within a plant because they lack visibility in the supply chain and do not have an

wall data  Plant-level Systems . Another wall keeps information in the shop floor. Given the lack of integration and visibility, reactions to unpredicted events are mainly driven by e-mails and frantic phone calls to the shop floor. As a result, a lot of information is lost. Reports about yesterday's events come too late or lack the detail necessary to support daily business decisions. Yet, in the sense and respond environment of ideally run modern businesses, data generated by events as they occur offers the Read More
The Seven Types of Power Problems
Many of the mysteries of equipment failure, downtime, software, and data corruption are the result of a problematic power supply. Compounding the problem is

wall data  is powered from the wall receptacle and a trickle of energy is passed to the laptops internal battery to charge it. When the laptop is unplugged the battery instantly takes over providing continued power to the laptop. Recent advances in switch technology have allowed for standby energy storage systems to be utilized in less than a half cycle. The term sustained interruption, describes a situation in a commercial utility system where automatic protective devices, because of the nature of the fault, Read More
A SaaS Start-up Cautionary Tale: The Makana Experience (Or: How You Can Create a Great Product and Still Hit the Wall)
Great products and a growing customer base are not enough to succeed in the SaaS ICM marketplace. Find out why Makana, a startup SaaS vendor, found it difficult

wall data  and Still Hit the Wall) This article has gone through several twists: it was initially conceived as an examination of the Makana product line in early 2009. I changed tack upon Makana’s acquisition by Salary.com during the second half of that year. The latest plot turn in the Makana saga is a recent e-mail I received from a Salary.com representative, issuing a no-comment with respect to Makana, as Salary.com intends to exit the sales compensation business. As for Makana, it has not exactly gone out of Read More
Crowdsourcing Gaining Foothold in the Enterprise
CrowdFlower released the next generation of its enterprise crowdsourcing platform for large businesses at the recent CrowdConf 2013 conference. To date, the

wall data  satellite image to help Wall Street assess whether that company will make its revenues. Improvements to the new version include enhanced crowd management, advanced monitoring, and more intuitive design for navigation. Thousands of users are leveraging the CrowdFlower Platform, which has created more than 200,000 jobs and successfully executed more than 1 billion judgments. The company has over 200 large enterprise customers, including VMware, Bloomberg, YP.com, LinkedIn, Autodesk, BandPage, and WCG. The Read More
Next-generation Data Auditing for Data Breach Protection and Risk Mitigation
Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation

wall data  generation Data Auditing for Data Breach Protection and Risk Mitigation Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system. BEGINLY Read More
Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

wall data  Practices for a Data Warehouse on Oracle Database 11g Best Practices for a Data Warehouse on Oracle Database 11g If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Oracle has been helping customers like you manage your business systems and information with reliable, secure, and integrated technologies. Source : Oracle Resources Related to Data Warehouse : Data Warehouse (Wikipedia) Best Practices for a Data Warehouse on Oracle Read More
A Roadmap to Data Migration Success
Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources,

wall data  Roadmap to Data Migration Success Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them. Read More
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

wall data  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 Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer Data Quality , Data Cleansing Service , Data Integration System , Data Cleansing Services , Data Profiling , Read More
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

wall data  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 visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques. Read More
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

wall data  Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace. Read More
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

wall data  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frus Read More
Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

wall data  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

wall data  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More
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

wall data  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

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