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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...
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Documents related to » meta data


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
Metadata Standards in the Marketplace - Why Do I Care? (And Where Does Godzilla Fit In?)
Metadata (“data about data”) is essential for data warehousing. Metadata standards allow different products to interact. Without standards, different vendors

meta data  over 800 members. MDC: Meta Data Coalition. A consortium founded in 1995 with close to 50 vendors and end-users whose goal is to provide a tactical solution for metadata exchange. CORBA: Common Object Request Broker Architecture. A standard from the OMG for communicating between distributed objects (objects are self-contained software modules). CORBA provides a way to execute programs (objects) written in different programming languages running on different platforms (i.e. UNIX, mainframe, Windows), no 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
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
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

meta data  Evolution of a Real-time Data Warehouse The Evolution of a Real-time Data Warehouse Jorge Garcia - December 23, 2009 Understanding Real-time Systems Today, real time computing is everywhere, from customer information control systems (CICSs) to real-time data warehouse systems. Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information from the system 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
Data Visualization: When Data Speaks Business
For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is

meta data  Visualization: When Data Speaks Business For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages 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

meta 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 the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quali Read More
2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry

meta data  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses Read More
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

meta data  lineage capability, such as metadata management. Data profiling, validation, and cleansing are also important. In application environments data quality is also about business rules. Data must obey to unique business rules, as well as meet validation thresholds. Use Case Scenario Consolidate Systems Need: Simplify parts, materials, and supplies by migrating data from 15 incompatible mainframe and legacy systems to SAP R/3. Approach: Leverage data integration platform with easy-to-use development tools, Read More
Evoke Software Releases Axio Data Integration Product
Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple different data sources into a

meta data  ability to generate a metadata repository from actual data instead of data dictionaries, IMS PSB's, etc. is a strong and valuable capability. It is estimated that approximately 80% of the world's data is stored in mainframe files, a great percentage of that is VSAM. Many legacy applications had no data validation routines (it was common for data entry clerks to type anything into a field where they didn't know the correct value, just so they could get on to the next field). The product's capabilities to Read More
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

meta data  the PCI Data Security Standard MessageLabs Hosted Web Security and Content Filtering service operates at the Internet level, intercepting viruses, and spyware. Source : MessageLabs | Now part of Symantec Resources Related to Understanding the PCI Data Security Standard : Payment Card Industry Data Security Standard (PCI DSS) (Wikipedia) Understanding the PCI Data Security Standard Data Security is also known as : Data Security Architecture , Data Security Articles , Data Security Audit , Read More
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

meta data  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. BEG Read More
Making Big Data Actionable: How Data Visualization and Other Tools Change the Game
To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through

meta data  Big Data Actionable: How Data Visualization and Other Tools Change the Game To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques. Read More

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