Home
 > search for

Featured Documents related to »  meta data


Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics
No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data quality can destroy its utility and

meta data  in data quality analytics, MetaPure takes over where traditional data cleansing tools leave off, providing a real-time insurance policy against poor quality data in CRM, ERP, Business Intelligence, and Supply Chain Management applications across the enterprise Read More...
Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
Start evaluating software now
Country:

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Documents related to » meta data


Datawarehouse Vendors Moving Towards Application Suites
During September, two more data warehousing vendors announced product suites that they claim offer broader integration between different data warehousing

meta data  data mart building, integrated meta data modeling, and integrated security as well as content management and distribution. The product is a suite that contains: Extract/Transform/Load capabilities for populating data marts. This technology was acquired with the purchase of U.K. based Relational Matters, which created the DecisionStream product, the first OLAP-aware data integration product . DecisionStream is an ETL tool capable of populating OLAP hypercubes, such as the one used by Cognos PowerPlay. Read More...
Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics Part 2: One Solution
Most enterprises fight fires with axes, fire hoses, trucks, and hordes of firemen, but the CDQM approach is a smoke detector. It’s far less expensive to put a

meta data  in data quality analytics, MetaPure takes over where traditional data cleansing tools leave off, providing a real-time insurance policy against poor quality data in CRM, ERP, Business Intelligence, and Supply Chain Management applications across the enterprise. Read More...
Is There Finally a Metadata Exchange Standard on the Horizon?
On September 27, a group of vendors including Oracle, IBM, Unisys, NCR, and Hyperion Solutions announced the submission of a metadata interchange standard to

meta data  are members of the Meta Data Coalition (MDC) which has proposed the Open Information Model as a standard. In April of 1999, the MDC and the OMG announced a cooperative effort to develop metadata standards. However, we find it odd that the MDC is not mentioned in this press release, nor are the vendor members of the MDC. A standardized approach to metadata would be very much in the customer's interest. However, in order for it to benefit users, all of the major vendors must adopt the same standard. We Read More...
Thinking Radically about Unstructured Data: Interview with Ron Carrière, CEO of Cirilab
Being able to manage unstructured text is no longer a “nice to have,” as companies and individual users alike have to deal with increasing amounts of

meta data  can then process that meta-knowledge to achieve “meta-cognition” and build an intelligence infrastructure. (Don’t worry, I come down to earth in the next few questions.) What is the difference in focus between your consumer and enterprise products? For a consumer, the focus is to save time, assist him or her in managing a knowledge base, and filling in the knowledge gaps. For an enterprise, it comes down to benefiting from those individuals using the system. There is a focus on the value of a Read More...
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

meta data  concept of metadata management. Metadata is data about data, such as table and column names, and datatypes. Managing metadata makes it possible to understand relationships between data elements and assists in the mapping of source to target fields. (For more information of Metadata see Metadata Standards in the Marketplace ) Next came the creation of Extract/Transform/Load (ETL) tools, which made use of the metadata to get the information from the source systems into the data warehouse. Additional Read More...
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

meta data  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users Read More...
2012 Business Data Loss Survey results
This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download

meta data  Business Data Loss Survey results This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now. 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,

meta 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, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage. Read More...
Considerations for Owning versus Outsourcing Data Center Physical Infrastructure
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both

meta data  for Owning versus Outsourcing Data Center Physical Infrastructure When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, 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

meta data  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...
Next-generation Data Auditing for Data Breach Protection and Risk Mitigation
Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation

meta data  generation Data Auditing for Data Breach Protection and Risk Mitigation Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system. BEGINLY Read More...
Four Critical Success Factors to Cleansing Data
Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment

meta data  Critical Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Data Cleansing and Synchronization Services The pace with which companies are forced to operate and to compete globally has taxed exisitng systems and increased their inefficiencies. Source : PM ATLAS Business Group, LLC Resources Related to Critical Success Factors to Cleansing Data : Data 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,

meta data  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...
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

meta data  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More...

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