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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

conceptual data modeling  treated more as a conceptual or abstract model, a more ideological view of what the data warehouse should be. The physical model will describe how the data warehouse is actually built in an Oracle database. A logical model is an essential part of the development process for a data warehouse. It allows you to define the types of information needed in the data warehouse to answer the business questions and the logical relationships between different parts of the information. It should be simple, easily Read More...

Managing Lean Manufacturing Using Microsoft Dynamics AX 2009
A supply chain management system (SCM) is a critical success factor for implementing lean manufacturing. The SCM system helps define product structure, costing

conceptual data modeling  for Lean Manufacturing The conceptual model for lean manufacturing involves new constructs concerning kanbans and work cells. These constructs are introduced now, and subsequent chapters provide more detailed explanations. Kanbans (aka Kanban Orders) A kanban has a unique identifier (aka kanban order number), and each variation of a kanban order has a slightly different life cycle and associated status (aka kanban order status). The terms kanban and kanban order will be used interchangeably; they both Read More...
Recruitment and Staffing
Recruitment and Staffing functionality allows the user to select and hire the right people with the right skill sets, as well as track the information regarding their recruitment for later analysis...
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Documents related to » conceptual data modeling


What’s New in the World of Design Components and Kernels?
Those folks that follow the 3D and 2D computer aided design (CAD) space are aware that all major design, manufacturing, and engineering software products are

conceptual data modeling  Design , SOLIDWORKS Mechanical Conceptual , and SIMULIA Results Explorer , Geometric recognized CGM as a modeler that has proven itself in leading-edge applications. CGM can also deliver more than traditional 3D modeling, including reliable data reuse, allowing app developers to optimize their engineering resources and expertise. In addition to leveraging CGM, Geometric DFX provides data reuse through the 3D InterOp CAD data translation framework from Spatial. This should enable Geometric DFX to provide Read More...
Autodesk Fusion 360 Cloud CAD Now Available
What was hinted at in late 2012 during the Autodesk University 2012 conference just became a reality—Autodesk has delivered the first cloud-based computer aided

conceptual data modeling  separate mechanical, industrial, and conceptual design tools into one easy-to-use cloud-based service (that can be mastered in hours and days rather than weeks). The solution was created specifically for people looking to fuse aesthetic design (for product beauty) with great product engineering (for product functionality). While Adobe Creative Cloud tools offer similar features, in comparison to its traditional CAD archrivals, Fusion 360 offers a new and intuitive user experience, secure access to design Read More...
Meridian Systems’ “Catch Up” Challenge in the Capital Infrastructure Industry - Part 1
Claiming the “Catch us if you can” movie mantra, the quiet Infrastructure Lifecycle Management (ILM) leader Meridian Systems, based in Folsom, California (US

conceptual data modeling  It starts with the conceptual design, iterative designs, architectural BIM, structural BIM and mechanical, engineering & plumbing (MEP) BIM in the Plan phase, to end with the as-built model, as-built equipment, and the complete virtual building in the Operate phase. Still, BIM also provides value on the “Build” phase in PBO – and brings a host of analytic, reporting, view (visualization), and modeling capabilities (e.g., construction sequencing, 4D modeling , clash detection, fabrication BIM, Read More...
How Companies Use Data for Competitive Advantage
Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage.

conceptual data modeling  Companies Use Data for Competitive Advantage How Companies Use Data for Competitive Advantage Today, many businesses find they are under siege dealing with an explosion of data. Yet the best performing companies are mastering their data—and using it for competitive advantage. How are they able to accomplish this? What best practices, approaches, and technologies are they employing? Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage . In this Economist Business 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

conceptual data modeling  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...
Guidelines for Specification of Data Center Power Density
Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT

conceptual data modeling  for Specification of Data Center Power Density Guidelines for Specification of Data Center Power Density If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today's always on, always available world where businesses can't stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware damage: power problems and temperature. Read More...
Data Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?

conceptual data modeling  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...
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

conceptual data modeling  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...
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

conceptual data modeling  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. 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,

conceptual data modeling  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...
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

conceptual data modeling  Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers The Advantages of Row and Rack-Oriented Cooling Architectures for Data Centers If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today's always on, always available world where businesses can't stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware 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

conceptual data modeling  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...
The Teradata Database and the Intelligent Expansion of the Data Warehouse
In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role

conceptual data modeling  Teradata Database and the Intelligent Expansion of the Data Warehouse In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Read More...

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