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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
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Documents related to » xml data mining


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

xml data mining  even worse, through EDI, XML, etc to your external customers, suppliers and vendors. Typical ERP implementations are measured on getting them completed on-time and within budget. Find an implementation including metrics of data integrity and process and you will be hard pressed. Project teams would rather perform system configuration than perform manual data review and validation. No wonder, according to Ovum Research, 50 % of data warehousing projects fail. If more companies would incorporate the 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

xml data mining  data warehouse vendors support XML in some form. ActiveX Data Objects: Software modules based on Microsoft's Component Object Model (COM) architecture which make it possible to call ready-made components that blend in and appear as normal parts of the program. Security Security: Microsoft has enabled role-based security to simplify the programming effort. Improved Security: Analysis Services includes security features all the way down to the cell level within a cube. Queries/Searches English Query: A Read More
Microsoft Eats its Own Dog Food With SQL Server 2000
Microsoft announced that they are running 20 critical internal systems, including their worldwide sales data warehouse, on SQL Server 2000. In the vendor world

xml data mining  Impact Embedded support for XML is becoming more crucial for business-to-business transactions on the World Wide Web. Companies who would like faster time-to-market by working with only one vendor, thereby easing integration issues, will strongly consider Microsoft's offering. Cost will also remain an issue with respect to Oracle and IBM pricing in many cases. One major drawback is that once you have begun betting your business on a proprietary Microsoft solution, it will be difficult to change your 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

xml data mining  Wide Web Consortium (W3C) XML data model into the Oracle Database, and provides new standard access methods for navigating and querying XML. With Oracle XML DB, users get all the advantages of relational database technology plus the advantages of XML. Additionally, XML plays a major role within the Oracle Data Provider for .NET product . This is Part Two of a six-part note. Part One contained the event summary and began the market impact. Part Three will discuss strategy shifts. Part Four covers SOA and Read More
Securing XML Web Services: SSL, XML Firewalling, and Beyond
There’s no universal solution for Web services security. Sometimes, access lists programmed into the Web services themselves are sufficient. Other times, Secure

xml data mining  XML Web Services: SSL, XML Firewalling, and Beyond There’s no universal solution for Web services security. Sometimes, access lists programmed into the Web services themselves are sufficient. Other times, Secure Sockets Layer (SSL) may be more than adequate. However, when granular message processing and auditing is essential, dedicated extensible markup language (XML) and Web services security technology will prove necessary. Which options are right for you? Read More
The New Virtual Data Centre
Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business

xml data mining  New Virtual Data Centre Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward. Read More
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

xml data mining  the Buzz: Big Data 2013 The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and Read More
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

xml data mining  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise 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

xml data mining  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
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

xml data mining  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
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

xml data mining  Path to Healthy Data Governance This article is based on the presentation, “From Data Quality to Data Governance,” by Jorge García, given at ComputerWorld Technology Insights in Toronto, Canada, on October 4, 2011. Modern organizations recognize that data volumes are increasing. More importantly, they have come to realize that the complexity of processing this data has also grown in exponential ways, and it’s still growing. Many companies are finally treating their data with all the necessary Read More
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

xml data mining  Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses l Read More
Deploying High-density Zones in a Low-density Data Center
New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center

xml data mining  High-density Zones in a Low-density Data Center Deploying High-Density Zones in a Low-Density Data Center If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Together, APC’s global teams work to fulfill their mission of creating delighted customers. To do this, the Company focuses its efforts on four primary application areas: Home/Small Office; Business Networks; Data Centers and Facilities; and Access Provider Networks. Source 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

xml data mining  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

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