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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

warehouse data model  Resources Related to Data Warehouse : Data Warehouse (Wikipedia) Best Practices for a Data Warehouse on Oracle Database 11g Data Warehouse is also known as : Data Warehouse , Data Warehouse Architecture , Data Warehouse Concepts , Data Warehousing Information Center , Data Integration Paper , Data Warehouse Software , Data Warehousing Analysis , Data Warehouse Community , Data Warehouse Automation , Perspectives on Data Warehousing , Data Warehousing OLAP , Resource Data Warehouse , Land and Resource Read More

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 » warehouse data model


Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

warehouse data model  a fully configured data warehouse appliance, Kognitio also allows companies to get the analytic insight they need for a low-cost monthly fee via the Kognitio Cloud , where we run our Data Warehousing as a Service offering. The Kognitio Cloud is a secure “private cloud” solution that offers end users maximum flexibility and a low cost of entry into data analytics and warehousing. 2.    How did you start working in data warehousing and BI? I have been active in the data warehousing space for a Read More
An Architect's Evaluation of Form and Function—the Dimensional Data Model
A detailed assessment and evaluation of data warehouse system functionality and how it applies to the dimensional data model using tools that the architect

warehouse data model  and evaluation of data warehouse system functionality and how it applies to the dimensional data model using tools that the architect works with. 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

warehouse data model  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 “QlikView says its innovative way of collecting data and not needing a physical data warehouse (DW) structure is the right thing to do in DW/business intelligence (BI) solutions. Can one expect to build a sustainable / scalable corporate data warehouse through such an approach?” TEC Analyst Response 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

warehouse data model  Data Management , Data Warehouse Management , Data Management Marketing , Server Data Management , Data Management Solutions , Data Management Technology , Data Content Management , Data Centre Management , Data Management Tools , Free Data Management , Network Data Management , Web Data Management , Test Data Management , Data Management Companies , Global Data Management , Data Lifecycle Management , Online Data Management , Data Management Application , Performance Data Management . Contents   The Read More
Beware of Legacy Data - It Can Be Lethal
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

warehouse data model  it as a data warehouse project. Sensible steps are: Profile the data to be migrated : what is the content of the legacy data stores, what abnormalities can be discovered, can the data be understood at all? SQL can help you; or specialized tools like those of Metagenix. Develop an approach for what to do with abnormalities found : It makes sense to create a work-in-progress area between the legacy application and the new system. This is quite common in the data warehouse world where it is called the stagin Read More
The ERP Warehouse Module versus Best-of-breed WMS
Every supply chain professional must consider certain factors when comparing enterprise resource planning (ERP) and best-of-breed warehouse management system

warehouse data model  ERP Warehouse Module versus Best-of-breed WMS Every supply chain professional must consider certain factors when comparing enterprise resource planning (ERP) and best-of-breed warehouse management system (WMS) solutions for warehouse management. Effective management of warehouse, fulfillment, and distribution operations is key to business success. With so much riding on your decision, you need to thoroughly compare ERP warehouse modules and best-of-breed WMS. Read More
Master Data Management and Accurate Data Matching
Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are

warehouse data model  Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. 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

warehouse data model  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
Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

warehouse data model  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. 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

warehouse data model  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 Read More
Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries

warehouse data model  scope of their data warehouse/data mart/data consolidation efforts to determine what type of solution is appropriate. Many market surveys have revealed that one of the largest hidden costs in these type of projects is incorrect or impure data, so any effort to automate the process of uncovering problems sooner rather than later (typically at the worst possible time, which is when the actual target data load is attempted) will yield significant cost savings to the company. BEGINLYX+ 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

warehouse data model  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 unified view of the data terrain necessary to support big data and the real-time needs of innovative companies. Read More
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

warehouse data model  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More
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