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ERP for Services (Non-manufacturing)
ERP for Services (Non-manufacturing)
Typically, ERP systems designed for services industries offer modules that provide back-office support, customer relationship management, time management, expense management, resource management, a...
 

 data architecture


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

data architecture  a new, commercially available data center architecture that can be implemented today to dramatically improve the electrical efficiency of data centers. Introduction In a typical data center, less than half the electricity used actually makes it to the computer loads. More than half the electrical bill goes to the purchase of power consumed by the electrical power system, the cooling system, and lighting. The total electrical consumption therefore has two principal contributors ' (1) the power consumed by

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Supply Chain Event Management RFI/RFP Template

Monitor and Resolve,Integration,Business Intelligence and Reporting,Business Applications Catalogue,Data Management,Architecture, Product Technology Get this template

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ERP for Services (Non-manufacturing)
ERP for Services (Non-manufacturing)
Typically, ERP systems designed for services industries offer modules that provide back-office support, customer relationship management, time management, expense management, resource management, a...

Documents related to » data architecture

Architecture Evolution: From Mainframes to Service-oriented Architecture


Product architecture is going to do much more than simply provide the technical functionality, the user interface, and the platform support. It is going to determine whether a product is going to be able to accommodate increasingly evolving user requirements.

data architecture  PCs to mainframes, store data and programs, and share those files with the clients, in which case the server functions as a remote disk drive to the clients. To recap, client/server is an architecture in which the user's PC (the client) is the requesting machine, and the server is the supplying machine, both of which are connected via a local area network (LAN) or wide area network (WAN). Throughout the late 1980s and early 1990s, client/server was the hot buzzword as applications were migrated from Read More

Test Framework Architecture: Data vs. Code


Ensuring the quality of software can be difficult given the copious amounts of code that accompanies an application. Software quality automation, however, can leverage prewritten code so analysts can develop and execute test without extensive programming knowledge.

data architecture  Framework Architecture: Data vs. Code Ensuring the quality of software can be difficult given the copious amounts of code that accompanies an application. Software quality automation, however, can leverage prewritten code so analysts can develop and execute test without extensive programming knowledge. Read More

Architecture Evolution: From Web-based to Service-oriented Architecture


Traditional enterprise systems have proven difficult to change and extend. The inherent problem of old core code and business logic duplication is part of the reason traditional enterprise resource planning systems have not readily taken to e-commerce.

data architecture  (OO) programming, which binds data and its processing together. In addition, SOA (again, in theory) should simplify interconnection to and usage of existing IT assets including the legacy assets, even thereby giving a new lease on life (if not full-fledged rejuvenation) to mainframes. Still, in addition to still maturing (and sometimes even conflicting) commonly accepted standards, challenges facing SOA implementation include managing services metadata and providing appropriate levels of security. Read More

Architecture Evolution: Service-oriented Architecture versus Web Services


Collaboration and interoperability are critical where multiple business units reside under one larger corporation, or where there is a requirement to integrate the system into a disparate system when a business-to-business or business-to-consumer extension is part of the business model.

data architecture  core business logic and data from other, more modern systems, devices, or from the Internet. Many ERP and accounting back-office systems in the market today were originally written in—and still contain—cores written in non-mainstream, or even antiquated technologies. Strategies employed to wrap older products include incorporating contemporary Windows graphical user interfaces (GUIs), often referred to as screen scrapers or web browser-based UIs, or lately, providing new Web services layers to Read More

Dell PowerEdge M1000e Modular Enclosure Architecture


This white paper details a breakthrough in enterprise server architecture. The enclosure and its components incorporate the latest advances in power, cooling, I/O, and management technologies. These technologies are packed into a highly available rack-dense package that integrates into standard 1000mm-depth racks. This enterprise-class server design is optimized to maximize flexibility and longevity while lowering your total cost of ownership.

data architecture  PowerEdge M1000e Modular Enclosure Architecture This white paper details a breakthrough in enterprise server architecture. The enclosure and its components incorporate the latest advances in power, cooling, I/O, and management technologies. These technologies are packed into a highly available rack-dense package that integrates into standard 1000mm-depth racks. This enterprise-class server design is optimized to maximize flexibility and longevity while lowering your total cost of ownership. 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’ 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.

data architecture  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

NextPage Architecture


Traditional document management systems are geared toward control, discipline, and orchestrated workflow. Contrast this with the untamed world of ad hoc processes that drive so many of our activities. In this environment, teams are dynamic and agile. Imposing structure and formal processes almost always results in confusion, resentment, and lost productivity. The needs of distributed teams require a different approach.

data architecture  Architecture Traditional document management systems are geared toward control, discipline, and orchestrated workflow. Contrast this with the untamed world of ad hoc processes that drive so many of our activities. In this environment, teams are dynamic and agile. Imposing structure and formal processes almost always results in confusion, resentment, and lost productivity. The needs of distributed teams require a different approach. 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-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 compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.

data architecture  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

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, 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.

data architecture  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

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 users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more.

data architecture  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

Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

data architecture  and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are 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, 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.

data architecture  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

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 decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

data architecture  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 : Busin Read More