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Warehouse Management Systems (WMS)
A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same time providing user level task direction...
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Documents related to » olap data warehouse architecture


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

olap data warehouse architecture  Warehousing , Data Warehousing OLAP , Resource Data Warehouse , Land and Resource Data Warehouse , Data Warehouse Web Site , Data Mining , Data Mart , Data Warehouse Architecture , Data Warehouse Concepts , Data Warehouse Tutorial , Data Warehouse Definition , OLAP , Business Intelligence , Huge Data Warehouse , Data Warehouse Appliance . NOTE: The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. 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

olap data warehouse architecture  tools, online analytical processing (OLAP) analysis tools, data mining, forecasting, etc. Managers and decision makers realized that a data warehouse—and its technology—had the ability to provide a complete view of the status of an organization. But as operational systems evolved, businesses merged, and globalization augmented, the number of business transactions increased substantially. Soon it became clear that having only historical information available wouldn''t be enough to give companies all Read More...
Ask the Experts Question: Do Organizations Really Need a Physical Data Warehouse Structure?
We recently had a question from one of our readers (through our Ask the Experts page) discussing QlikView’s approach to data collection.Reader’s Question

olap data warehouse architecture  hierarchies—for online analytical processing (OLAP). It seems impressive and merits further reading. •    The company does claim to support the “no data warehouse” model. Data from a number of sources can—in theory—be loaded into memory. Of course, memory requirements are proportional to the size of the data. •    Does the company support data quality and data cleansing? It seems to support data cleansing on the fly, but I think this needs some deliberation and testing. To us, this is Read More...
SAS/Warehouse 2.0 Goes Live
SAS Institute has announced the production availability of SAS/Warehouse Administrator software, Version 2.0. This new version provides IT the ability to

olap data warehouse architecture  Warehouse 2.0 Goes Live Event Summary CARY, N.C. (Feb. 24, 2000) - SAS Institute, the market leader in integrated data warehousing and decision support, has announced the production availability of SAS/Warehouse Administrator software, Version 2.0. Demonstrated at the Data Warehousing Institute conference in Anaheim, Calif., this new version provides IT the ability to proactively publish data warehouse information and track its usage, plus aggressively manage the process of change in the data warehouse Read More...
Unlocking Hidden Value from Investments in SAP NetWeaver Business Warehouse
Extending the capabilities and value of SAP NetWeaver Business Warehouse is a concern for users. To improve data use and fact-based decision making, and reduce

olap data warehouse architecture  transactional, warehoused, relational and OLAP as well as modern and ad-hoc sources through a single semantic layer, specifically a single, trusted semantic layer that enables data to be modeled once yet used everywhere. This capability avoids the need for migrating, transforming or modifying source data to ‘fit’ with the tool or use case at hand and therefore reduces the need for ongoing IT involvement and enhances decision effectiveness for business users. Specifically, as business context and Read More...
Warehouse Management Systems: Pie in the Sky or Floating Bakery?Part Two: The Pareto Principle, Processes, and People: Assessing Your Warehouse Management System Needs
To ensure your warehouse management system is implemented as painlessly as possible, you must assess your warehouse situation before you decide on a warehouse

olap data warehouse architecture  Management Systems: Pie in the Sky or Floating Bakery?Part Two: The Pareto Principle, Processes, and People: Assessing Your Warehouse Management System Needs Introduction After understanding the myths behind the claims of huge staff reductions , quick and easy implementation , and the fast and big return on investment, you need to know what type of features and functionality you should look for in a warehouse management system. The bells and whistles of a system might look enticing, but Read More...
Warehouse Management Systems by the Numbers
When it comes to warehouse management systems (WMS), the stats are both shocking and thought-provoking. And although you don''t see these stats in the marketing

olap data warehouse architecture  Management Systems by the Numbers Warehouse Management Systems by the Numbers Featured Author - Ren Jones - September 22, 2006 Warehouses are built around numbers—from the facility''s square footage, to how many rows of racking it takes to stock the number of stock-keeping units (SKUs), all the way to the amount of orders processed through a facility in a day. This article takes the numbers associated with warehouse management systems (WMS) you don''t see in the marketing brochures or Read More...
How to Solve Your Warehouse Woes
Today’s manufacturers and distributors are under immense pressure to ensure their warehouse and supply chain activities are continually operating at peak

olap data warehouse architecture  to Solve Your Warehouse Woes . Today’s manufacturers and distributors are under immense pressure to ensure their warehouse and supply chain activities are continually operating at peak performance. Whether it’s increased global competition, more demanding customers, a tighter economy, or the rising cost of materials that’s keeping business owners awake at night, the hard truth is that if they want to remain competitive in today’s global marketplace, they need to find more efficient ways to Read More...
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

olap data warehouse architecture  Masking: Strengthening Data Privacy and Security Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you. Read More...
Unified Data Management: A Collaboration of Data Disciplines and Business Strategies
In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration

olap data warehouse architecture  Data Management: A Collaboration of Data Disciplines and Business Strategies In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts. 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,

olap data warehouse 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...
The MicroStrategy Architecture
If you’re in the midst of evaluating business intelligence (BI) software, this datasheet sheds light on a BI solution based on a relational online analytical

olap data warehouse architecture  relational online analytical processing (ROLAP) architecture that can provide high scalability and interactivity. Find out more about ROLAP, as well as how BI solutions can support all levels of BI initiatives, including migration from departmental BI toward a more cohesive enterprise framework. 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

olap data warehouse architecture  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...

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