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Documents related to » implementing real time data warehousing etl


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

implementing real time data warehousing etl  the technical difficulties of implementing a true real-time data warehouse, there are some advantages. It shortens information delivery times. It improves integration throughout the organization. It eases the analysis of future trends. Basic Principles to Consider With the growing popularity and increasing implementation of real-time data warehouses, it is important to consider some basic principles when considering a real-time data warehouse implementation. Data on Time, at the Right Time . The data Read More...
Microsoft Takes A Shot at the Business Intelligence Market
Microsoft Business Scorecard Manager 2005 has allowed Microsoft to enter the business intelligence (BI) market by using its client base to expand its offering

implementing real time data warehousing etl  some cases, this means implementing various applications and vendor solutions based on the needs identified within individual departments. For example, an organization may implement a Cognos solution to manage its sales force performance, and a Hyperion solution because of its strong financial consolidation functionality within the finance department. As BI has changed to accommodate real-time data analysis, and to provide forward-looking business planning and strategies, the need to bring a single set Read More...
Attaining Real Time, On-demand Information Data: Contemporary Business Intelligence Tools
Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools and suites. Portlet standardization

implementing real time data warehousing etl  feel somewhat better about implementing cumbersome ERP and other enterprise systems. Indeed, many enterprises have already deployed some BI products too, such as querying and reporting tools, planning and budgeting applications, analytic applications, incentive management systems, portals, dashboards, and scorecards, along with data warehousing technology, data models, and integration software, and whatnot. In fact, anyone stocktaking technology inventory will likely find some CPM components already in Read More...
Optimizing Gross Margin over Continously Cleansed Data
Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards

implementing real time data warehousing etl  content, or those simply implementing a database, have exposed the magnitude of the problem. While these initiatives are great starts, solving your internal requirement for truly cleansed data, ready for your company’s use, is not a single leak with a quick fix. Rather, a holistic approach is required to address all aspects -including aggregating data from all potential sources (backend ERP systems, suppliers, marketing systems, 3rd party content providers and vendors) and establishing business rules Read More...
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

implementing real time data warehousing etl  Data Warehouse Process | Implementing Real Time Data Warehousing | Data Warehouse System Complete | Data Warehouse EDW | Data Warehouse Architecture EDW | Data Warehouse Concepts EDW | Data Warehousing Information Center EDW | Data Integration Paper EDW | Data Warehouse Software EDW | Data Warehousing Analysis EDW | Data Warehouse Community EDW | Data Warehouse Automation EDW | Perspectives on Data Warehousing EDW | Data Warehousing OLAP EDW | Resource Data Warehouse EDW | Land and Resource Data Read More...
Data Storage in the Cloud-Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast,

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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

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Data Warehousing in the Big Data Era: Are You BIReady?
Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary

implementing real time data warehousing etl  data warehouse, data warehouse automation, BIReady, BI, business intelligence, big data, DWH, BI automation, analytics, EDW 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

implementing real time data warehousing etl  data quality assurance plan,data quality assurance process,data quality assurance techniques,data quality attributes,data quality audit,data quality audits,data quality benefits,data quality best practices,data quality blog,data quality books,data quality business intelligence,data quality campaign,data quality center,data quality certification,data quality challenges 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

implementing real time data warehousing etl  Data Management,Data Infrastructure,Data Center,Knowledge Management,Cost Control,IT Budgeting,Outsourcing,Strategic Planning,Business Applications,Business Management,data management software,data management technology,enterprise data management,data management services,customer data management 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,

implementing real time data warehousing etl  data migration sql,data migration strategies,data migration framework,server data migration,data migration issues,erp data migration,data migration validation,data migration test plan,data migration solutions,data migration strategy document,data migration companies,data migration testing strategy,data migration sql server,data migration planning,data migration plan example Read More...
Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond
For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet

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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

implementing real time data warehousing etl  any function related to implementing high density power or cooling. Ability to spread loads: The ability to spread IT equipment physically within a data center is a practical option for most IT equipment today, due to the wide use of fiber-optic cabling. It is not necessary or desirable in many cases to deploy equipment at the full density it is capable of. Blade servers and 1U servers are examples of high density IT equipment that can readily be spread out between racks in order to decrease density. Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

implementing real time data warehousing etl   Read More...
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

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