Home
 > search for

Featured Documents related to » ilm perspectives on data warehousing



ad
Get Top WCM Software Comparisons

Find the best WCM software solution for your business!

Use the software selection tool employed by IT professionals in thousands of selection projects per year. FREE software comparisons based on your organization's unique needs—quickly and easily!
Register to access your free comparison reports and more!

Country:

 Security code
Already have a TEC account? Sign in here.

Documents related to » ilm perspectives on data warehousing


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 describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

ILM PERSPECTIVES ON DATA WAREHOUSING: data warehouse, data warehousing, data acquisition , metadata management , data mining , data cleansing, data capture , Data Warehousing definition, Bill Inmon, Ralph Kimball, database technology management experience , data warehouse design expertise.
8/18/2002

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 Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture based on the open standards and services built into the Windows« 2000 operating system, Microsoft SQL Server 7.0 and Office 2000.

ILM PERSPECTIVES ON DATA WAREHOUSING: microsoft data warehousing, olap software, data warehouse applications, power olap, data warehouse software, open source data warehousing, data warehouse vendors, data warehouse appliance, data warehouse education, data warehousing software, data warehouse products, data mining articles, data warehouse tools, data integration tools, bi strategy, data extraction, data warehouse training, data warehousing tools, olap open source, real time data warehouse, data warehousing jobs, the data warehouse lifecycle toolkit, open source etl, data warehousing training, datawarehouse architecture, data .
12/1/1999

The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

ILM PERSPECTIVES ON DATA WAREHOUSING: etl data, data warehouse etl, etl software, data warehousing etl, etl technology, etl solutions, extract transform load, data integration, etl system, intranet software, etl process, the data warehousing institute, data warehouse and business intelligence, data warehousing and business intelligence, data warehouse training, open source data warehousing, data warehousing software, data warehouse education, data warehouse products, data warehouse best practices, real time data warehouse, data warehousing books, data architecture, data warehousing basics, data warehouse security, enterprise data .
8/2/2000

Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

ILM PERSPECTIVES ON DATA WAREHOUSING:
9/9/2009 2:32:00 PM

Data Grouping and Drill-down
Understanding process variation is vital—not only in manufacturing industries, but in transactional environments as well. That’s why the tools you use to understand the root cause of common cause variations need to be both powerful and easy to use, whether you’re measuring variations in sales performance, wait times in hospital emergency rooms, or cycle times for order fulfillment.

ILM PERSPECTIVES ON DATA WAREHOUSING:
4/25/2007 10:47:00 AM

Informix to Acquire Ardent Software-Another Vendor s Attempt at End-to-End Data Warehousing
Informix« (NASDAQ: IFMX) and Ardent Software (NASDAQ: ARDT) today announced that they have reached a definitive agreement to combine their operations in a transaction valued, on a fully diluted basis, at approximately $880 million, based on the closing price of Informix common stock on November 30, 1999. The combination creates a $1 billion company in open software infrastructure for what Informix refers to as the

ILM PERSPECTIVES ON DATA WAREHOUSING: olap software, data warehouse software, exadata, database appliance, open source data warehousing, data warehouse vendors, informix cheetah, open source data warehouse, data warehousing software, data warehouse education, data warehouse appliance, aster data, data warehouse manager, informix 11, data warehouse tools, data warehouse products, informix dynamic server, olap open source, document management software, kognitio, data extraction, datawarehouse software, real time data warehouse, database warehousing, sybase database, informix, data warehousing training, data warehouse training, .
12/8/1999

Turning Disparate Data Into Action
In large enterprises, it's often difficult to get a real sense of the size and scope of one's own network. Asset and connectivity data may be logged somewhere, but most applications specialize in a particular area, so that multiple tools are needed to record all the necessary data. But many of these applications don't communicate with each other. Know the process of consolidating data to achieve organizational success.

ILM PERSPECTIVES ON DATA WAREHOUSING: data, consolidation, discovery, aggregate, correlate, infrastructure.
2/26/2013 2:31:00 PM

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 the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration.

ILM PERSPECTIVES ON DATA WAREHOUSING: data migration, data migration best practices, Globanet, migration software, data migration compliance.
8/8/2013 1:47:00 PM

Understanding the PCI Data Security Standard
Understanding the PCI Data Security Standard.Secure Documents and Other Computer Software to Use In Your Complex System of Understanding the PCI Data Security Standard. The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a proactive rather than passive way. These include security management, policies, procedures, network architectures, software design, and other protective measures. Get a better understanding of the PCC DSS and learn the costs and benefits of compliance.

ILM PERSPECTIVES ON DATA WAREHOUSING:
9/3/2009 4:36:00 PM

Warehousing Management: Yard Management, Competitive Analysis, and Challenges
The business remains challenging to even the most established vendors, since an intensifying product architecture rejuvenation and functional enhancements cycle, the pressure from the ERP intruders, and continued market consolidation exert fiscal pressure across the sector.

ILM PERSPECTIVES ON DATA WAREHOUSING: warehouse management solution, WMS, consolidation, inventory, enterprise resource planning, yard management system, YMS, transportation management system, TMS, supply chain execution, SCE, distribution center.
8/31/2005

Privacy Challenges for Data Providers
Ensuring the quality, accuracy, and security of customer data has never been more important than it is today. The growing potential for privacy breaches and tighter compliance regulations have created unique challenges and responsibilities for many data providers. Here we discuss some of the key privacy issues surrounding data management, and how partnering with a provider of master data management (MDM) software can help.

ILM PERSPECTIVES ON DATA WAREHOUSING:
11/20/2007 3:55:00 PM


Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others