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
 

 xml data mining


Microsoft says OLE for Data Mining: Is it Bull?
Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a

xml data mining  community. PMML is an XML-based language that provides a quick and easy way for organizations to define and share data mining models between compliant vendors' applications. Market Impact Microsoft is joining a vendor consortium that is proposing a standard in PMML, which may be supported by many vendors, but will be ignored by serious Microsoft competitors such as Oracle. Another conspicuous absence from the list of supporting vendors is the SAS Institute, which is one of the key vendors in the data

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

Documents related to » xml data mining

Got BI? Now You Need to Hire a Data Geek. Here’s What to Look For.


According to a poll conducted by KDnuggets, salaries in the analytics and data mining space are up in 2011. While there is no direct proof that the data explosion is increasing the need for business intelligence (BI) or business analytics (BA) specialists, it’s only natural that the increase in BI software adoption and demand for analytics should promote the growth of BI job offerings.

xml data mining   Read More

Oracle Further Orchestrates Its SOA Forays Part Two: Strategy


Oracle's vision of a complete collaborative e-Business solution requires a database strategy, an application server strategy, and an e-business strategy. Will users buy into this vision?

xml data mining   Read More

What’s New in Microsoft SQL Server 2000


SQL Server 2000, the next major release of SQL Server 7, is Microsoft’s SQL 7 release of its database both re-architected and re-written. Microsoft has high hopes for the latest version in a market that was worth $8 Billion in 1999, an 18% increase over 1998. What remains to be seen is whether it will attract customers not already using SQL Server.

xml data mining   Read More

Collecting Meaningful Data from the Web: Once an Impossibility, Now a Reality


The traditional way of extracting data from disparate data sources has been transformed by the emergence of new tools and applications, as well as the appearance of new and massive sources of information like the Web. Learn about tools you can use to turn Web data into an important asset for your organization.

xml data mining   Read More

Top Software for Mining Companies


For your own customized comparison reports, select a category below: ERP & CMMS for Mining. EAM for Mining. Accounting Software Systems.

xml data mining   Read More

Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

xml data mining   Read More

Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

xml data mining   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.

xml data mining   Read More

Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

xml data mining   Read More

The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers


The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to changing requirements, support high and variable power density, and reduce power consumption and other operating costs. Find out how row- and rack-oriented cooling architectures reduce total cost of ownership (TCO), and address the needs of next-generations data centers.

xml data mining   Read More