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The Blessing and Curse of Rejuvenating Legacy Systems
Catering to existing and prospective customers is problematic. Existing customers often value their legacy systems because they are reliable and prospective

legacy data flow  is the integration of legacy applications into a new Windows-type environment. This ability allows, for an example, a step-by-step modernization of business applications. Every modern framework for software development is intrinsically a multi-tier architecture consisting of business logic, presentation logic, and controller logic. Business logic is responsible for database management and its accompanying transactions; presentation logic is used to present data to the user by means of an intuitive Read More...
ERP for Services (Non-manufacturing)
A multinational consulting company specializing in industrial automation turned to TEC for help selecting an enterprise resource planning (ERP) solution to replace its legacy system—a patc...
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Documents related to » legacy data flow


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

legacy data flow  advantage. Conclusion The conventional legacy approach to data center cooling using room-oriented architecture has technical and practical limitations in next generation data centers. The need of next generation data centers to adapt to changing requirements, to reliably support high and variable power density, and to reduce electrical power consumption and other operating costs have directly led to the development of row and rack-oriented cooling architectures. These two architectures are more Read More...
An Improved Architecture for High-efficiency, High-density Data Centers
Globally, data center power and cooling infrastructure wastes more than 60 million megawatt-hours per year that do not contribute usefully to powering IT

legacy data flow  this paper. Conclusion Conventional legacy data centers operate well below the efficiency that is possible using proven designs incorporating readily available power and cooling equipment. This paper provides an example of an improved architecture that incorporates high-efficiency power and cooling equipment, combined with configuration and operation strategies that optimize efficiency. One key finding of this paper is that purchasing high-efficiency devices is not sufficient to ensure a highefficiency Read More...
Strategies for Deploying Blade Servers in Existing Data Centers
Blade servers have a major advantage over traditional ones@improving processing ability while using less power per server. But, with their smaller footprint

legacy data flow  trays based on old legacy specifications without an understanding of their purpose. There are some effective fan assist devices that couple to the rack; these are described in greater detail in APC White paper #42, Ten Steps to Solving Cooling Problems Caused by High Density Server Deployment . Isolating racks. Isolating racks away from rows in an area open on all sides is sometimes used in an attempt to reduce the density in an area and to allow more vented floor tiles to be associated with a rack. Read More...
Six Misconceptions about Data Migration
A truly successful data migration project involves not only an understanding of how to migrate the data from a technical standpoint, but an understanding of how

legacy data flow  the coding, until the legacy data properly populates the new system. Later in the process, however, you must control the number of variables, and that means reducing the number of changes. The problem with change is that much of the data have interdependencies with other data. Changes to data and data definition are to be avoided whenever possible, because any change has the potential of impacting, to an exponential degree, other data. Making just one minor change on a data element, a field, a code, or 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

legacy data flow  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...
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

legacy data flow  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...
Data Quality Basics
Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at

legacy data flow  Quality Basics Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue. 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

legacy data flow  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 way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a 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

legacy data flow  many years. Some involve legacy applications on centralized mainframes, while others employ distributed computing technologies, such as client/server computing, Web-based computing, or Web services. Some are developed in-house, while others use packaged solutions from applications vendors or software-as-a-service (SaaS) vendors. Company acquisitions and mergers add to the application mix. These applications have usually been developed and deployed independently of each other, without any notion that one d Read More...
Four Critical Success Factors to Cleansing Data
Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment

legacy data flow  Acquisitions Combined products Inherited Legacy Systems Poor or undisciplined data capture Internal static data repositories Automating, merging or implementing new ERP and CRM solutions External file feeds Default entries are used during information gathering for missing data elements Aged data No initiative to maintain clean data So simply put, dirty data creates errors that are having to be manually identified, intercepted and corrected by you, your employees and your customers. Yes, even your Read More...
Implementing Energy-Efficient Data Centers
But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

legacy data flow  Energy-Efficient Data Centers Did you realize that your data center(s) may be costing you money by wasting electricity ? Or that there are at least 10 different strategies you can employ to dramatically cut data center energy consumption ? The fact is, most data centers are not designed with energy efficiency in mind. But in the white paper Implementing Energy-efficient Data Centers , you'll learn how to save money by using less electricity—whether your data centers are still in the design Read More...
Data Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?

legacy data flow  Storage in the Cloud--Can You 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 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

legacy data flow  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 efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More...

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