X
Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
Get free sample report

Compare Software Solutions
Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 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


Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

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 types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

Evaluate Now

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 unstructured text, work with it, and gain knowledge by interpreting it. Cirilab is a company that provides software products to search, retrieve, and categorize information from unstructured text sources. Read this interesting interview with Ron

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’ tools cannot work together seamlessly and the customer’s warehousing effort is greatly complicated.

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 the OMG standards body. A common approach to metadata would allow products from different vendors to interact, a problem that has vexed customers for years. But will all the major vendors adopt the standard?

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 technologies. BI vendor Cognos announced "Cognos platform", a tool to build complete "BI-ready data infrastructures". Data Movement vendor Ardent Software announced "DataStage XE", which is designed to "simplify integration of multiple data sources and business intelligence tools".

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 if your organization needs this type of IT solution.

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. 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.

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 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 of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

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 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 quality data.

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 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 and a discussion of the results.

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 migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

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 unified view of a business. The product has a very intriguing method of metadata scanning, and should have significant market impact.

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 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.

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 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.

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 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.

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