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Development of an Internet Payment Processing System
This article describes the author's experience with the development of the first Yugoslav Internet payment processing system. The system's architecture is very

data processing system  security, a VPOS signs data it sends to the transaction server using 32-128 bytes keys. The VPOS terminal is easy to configure. This pertains to types of cards accepted and transaction servers that handle authorization. Each type of card may be handled by a different server. Also, for greater reliability, for each card type, it is possible to configure a list of alternate servers. In case the first server on the list is out of order, the next one is contacted and so on. The VPOS terminal component is Read More...
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 » data processing system


Processing Complex Events (During These, oh well, Complex Times) - Part II
Part I of this blog series introduced the concept of complex event processing (CEP) and possible needs for CEP software applications. One such broad CEP

data processing system  can link directly into data collection and automation systems sending signals from the production floor, as well as into packaging, warehousing management systems (WMS) , and other related business systems to guide problem resolution and improvement. Another example of Apama’s use in the production environment is to detect bottle-filling trending low or high in a large high-speed bottling plant . By defining threshold and time window limits, the system provides alarms and dashboard visibility on the Read More...
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

data processing system  changed physics, all these data are turning the social sciences upside down, he explains. Researchers are now able to understand human behaviour at the population level rather than the individual level. The amount of digital information increases tenfold every five years. Moore's law, which the computer industry now takes for granted, says that the processing power and storage capacity of computer chips double or their prices halve roughly every 18 months. The software programs are getting better too. 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

data processing system  , Data Analysis , Data Processing , Financials Research Data Cleaning , Master Data Management , Data Integration , Data Sets , Data Integrity , Data Cleansing Projects , After presenting a case study “Supply Chain Data- Dont let it be your weakest link!'” with Alcon Laboratories at the TCU Global Supply Chain conference in April 2005 there were a flurry of questions from the attendees. While the presentation was mainly focused on the value of quality data in the supply chain and in todays automated Read More...
The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

data processing system  Greenplum Greenplum Database is data warehouse software built to support large-scale analytics processing. Massive parallel processing (MPP) is architecture-based and multi-level fault tolerance. This database supports industry standard interfaces ( structured query language [SQL], open database connectivity [ODBC], java database connection [JDBC], and interoperation with most common business intelligence (BI) and ETL tools. IBM IBM counts on InfoSphere Warehouse to deliver an entire data warehouse Read More...
Hyperion System 9
Hyperion System 9 is a flexible business performance management (BPM) system integrating a modular suite of financial management applications with the most

data processing system  conditions. Hyperion System 9 Data Management Services is a family of products for managing financial and operational data, metadata, master data, and financial data quality associated with BPM deployments. It is the enabling data infrastructure layer that allows organizations to align data governance and BPM strategies and manage all forms of BPM information. Hyperion System 9 Data Management Services empowers business users to take part in managing their information, while enabling IT organizations to Read More...
The New Virtual Data Centre
Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business

data processing system  New Virtual Data Centre Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward. Read More...
Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses
To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if

data processing system  Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available Read More...
The Quadstone System
Quadstone sells three products components within the Quadstone System: Decisionhouse, Transactionhouse, and Actionhouse. Decisionhouse is the flagship

data processing system  flagship product—it combines customer data discovery with automated predictive modeling. Transactionhouse is used to gather data from various sources (relational databases, operational data stores, log, and flat files) into the Quadstone System and perform the necessary data transformations in order to create a single customer view. Actionhouse is used to allow the reuse of the results of the analytical process (selections, rules, models, scores) within operational enviornments such as marketing Read More...
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

data processing system  up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information Read More...
Flexible Customer Data Integration Solution Adapts to Your Business Needs
Siperian's master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data.

data processing system  Customer Data Integration Solution Adapts to Your Business Needs Customer data integration (CDI) has become one of the buzzwords within the master data management (MDM) industry. Although the concept of creating a single organizational view of the customer is noble and desirable, its value should also be justified by organizations. To implement a customer data hub that only creates a centralized view of an organization's customer-related data does not affect a company's bottom line, unless Read More...
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

data processing system  Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More...
Data Center Projects: Advantages of Using a Reference Design
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete

data processing system  aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are Read More...
Transactional Data: Driving Real-Time Business
A global survey of IT leaders shows that most organizations find it challenging to convert high volumes of fresh transactional data into knowledge that business

data processing system  volumes of fresh transactional data into knowledge that business users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more. Read More...
MSI Data


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