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Documents related to » bi data warehousing olap


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

bi data warehousing olap  systems as well the BI and the data warehouse space in general. Roger Gaskell is responsible for all the product development that goes on at Kognitio. Prior to Kognitio, Mr. Gaskell worked as a test development manager at AB Electronics, primarily for the development and testing of the first mass production of IBM personal computers. 1.    Hello, Mr. Gaskell. Could you give us a brief introduction to Kognitio and the products the company offers? Certainly. Kognitio is a technology software vendor that Read More...
A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

bi data warehousing olap  the data properly. The BI tools need the metadata for similar reasons. Summary: Data Warehousing is a complex field, with many vendors vying for market awareness. The complexity of the technology and the interactions between the various tools, and the high price points for the products require companies to perform careful technology evaluation before embarking on a warehousing project. However, the potential for enormous returns on investment and competitive advantage make data warehousing difficult to Read More...
Microsoft Goes Their Own Way with Data Warehousing Alliance 2000
Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data

bi data warehousing olap  open, published protocols for interoperability and integrated end-to-end data warehousing services. It utilizes technologies provided in Microsoft Office 2000 and Microsoft SQL Server 7.0 products, and a partnership with Data Warehousing Alliance members for complementary tools and applications. The DWF enables data warehousing solutions where the data comes from virtually any source and where any type of information can be delivered to any compliant client interface or application. Market Impact Once Read More...
Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and

bi data warehousing olap  and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data. Read More...
A One-stop Event for Business Intelligence and Data Warehousing Information
The Data Warehousing Institute (TDWI) hosts quarterly World Conferences to help organizations involved in data warehousing, business intelligence, and

bi data warehousing olap  information and resources for BI and data warehousing professionals. The focus is on actionable advice on how to plan, build, and deploy BI and data warehousing solutions. Ten Mistakes to Avoid is distributed quarterly, and advises readers on different topics related to building, deploying, or maintaining a data warehouse, or managing a data warehouse team. What Works: Best Practices in Business Intelligence and Data Warehousing , also distributed quarterly, gives readers a comprehensive collection of 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

bi data warehousing olap  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 works with. Read More...
Data Migration Best Practices
Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce

bi data warehousing olap  Migration Best Practices Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration. 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

bi data warehousing olap  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...
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

bi data warehousing olap  Customer Data Quality | BI Data Quality | BI Data Quality Analysis | BI Data Quality Articles | BI Data Quality Assessment | BI Data Quality Business Intelligence | BI Data Quality Center | BI Data Quality Control | BI Data Quality Improvement | BI Data Quality Indicator | BI Data Quality Indicators | BI Data Quality Initiatives | BI Data Quality Issues | BI Data Quality Management | BI Data Quality Measurement | BI Data Quality Measures | BI Data Quality Methodology | BI Data Quality Methods | BI Data 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

bi data warehousing olap  data center density are ambiguous and misleading. Describing data center density using Watts / ft² or Watts / m² is not sufficient to determine power or cooling compatibility with high density computing loads like blade servers. Historically there is no clear standard way of specifying data centers to achieve predictable behavior with high density loads. An appropriate specification for data center density should assure compatibility with anticipated high density loads, provide unambiguous instruction Read More...
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

bi data warehousing olap  data is used for billing, incorrect addresses cannot only lead to unnecessary expenses, but also delay collections Points of Entry Bad address data has multiple points of entry in any organization. If an organization collects sales leads over the web, the customer can either mistype their address or deliberately provide false information. Even if employees of the organization collect the addresses, the possibility for errors still exists. If an organization buys address lists from a vendor or other Read More...
Paperless Warehousing
Paperless Warehousing Pty Limited was incorporated in 1988 by two of the existing Directors with a vision to overhaul traditional warehousing operations by

bi data warehousing olap  of experience, solidarity and dependability in Warehouse and Transport Management Systems. All our people are employees and are practitioners of the Logistics industry who know our products in depth and act as the quality control department for our developers. They are not outside consultants and are all housed in the same office in Sydney which creates an energy-filled atmosphere for the development and cross fertilisation of future enhancements. At Paperless Warehousing we have improved and modernised Read More...
Master Data Management: Extracting Value from Your Most Important Intangible Asset
In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe

bi data warehousing olap  MDM SOA | MDM BI | Master Data Management Data Warehouse | Master Data Management Challenge | Data Quality Integration | Master Data Management Solution | MDM Solution | Master Data Integrity | Engineering Data Management | Master Data Management Software | MDM Software | Master Data Management System | Master Data Management Services | Customer Master Data Management | Customer Data Integration | Master Data | Data Governance | Data Quality Management | Data Management Strategy | Business Intelligence Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

bi data warehousing olap  Quality Trends and Adoption While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More...

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