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Abstract:
Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick
deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover
the core criteria you should use to evaluate DW appliances, (...)
Excerpt related to
data warehouse data mining:
... Ever. Source: IBM. Document Type: White Paper Description: Appliances are taking up permanent residence
in the data warehouse (DW). ...
Published:
2010-04-09
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Abstract:
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be
able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand
the data mining process. (...)
Excerpt related to
data warehouse data mining:
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be
able to discover valuab...
Published:
2009-06-19
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Abstract:
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But
the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information
distribution, robust security, and other necessitie (...)
Excerpt related to
data warehouse data mining:
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data
Mining and Predictive Analytics to the Masses. Source: Microstrategy, Inc. ...
Published:
2010-03-11
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Abstract:
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. (...)
Excerpt related to
data warehouse data mining:
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...
Published:
2009-12-23
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Abstract:
Best Practices for a Data Warehouse on Oracle Database 11g. Find Out Software and Other Solutions for Your Decision Associated
with Best Practices and Data Warehouse Management. Companies are recognizing the value of an enterprise data warehouse (EDW)
that provides a single 360-degree view of the business (...)
Excerpt related to
data warehouse data mining:
Best Practices for a Data Warehouse on Oracle Database 11g. Find Out Software and Other Solutions for Your Decision Associated
with Best Practices ...
Published:
2010-03-11
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Abstract:
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 proprietary data mining specification. It is purported to extend the Structured Query Language
(SQL) to allow easier and faster incorporation of data (...)
Excerpt related to
data warehouse data mining:
... User Recommendations. Customers evaluating data mining solutions for
their data warehouse should investigate PMML and its potential for widespread acceptance.
...
Published:
2000-03-28
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Abstract:
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for
data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating,
and querying a data warehouse typically carries an ext (...)
Excerpt related to
data warehouse data mining:
... tools: Tools that allow the user to issue SQL (Structured Query Language) queries against the warehouse
and get a result set back. Data Mining Tools: Tools ...
Published:
2002-08-18
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Abstract:
With business units demanding more access to corporate data, IT is pressured to deliver. Yet current business intelligence
(BI) and data warehouse systems only examine specific quantifiable data. Find out how IT professionals can gain a better understanding
of how to integrate key information from text-b (...)
Excerpt related to
data warehouse data mining:
... Yet current business intelligence (BI) and data warehouse systems only
examine specific quantifiable data. Find out how IT professionals ...
Published:
2010-03-11
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Abstract:
Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored
on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is
loaded into memory. This results in dramatic improveme (...)
Excerpt related to
data warehouse data mining:
... Traditional analytic tools run queries against a data warehouse (DW)
with user queries being processed against the data stored on relatively slow hard drives. ...
Published:
2010-04-09
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Abstract:
SAS Institute has announced the production availability of SAS/Warehouse Administrator software, Version 2.0. This new version
provides IT the ability to proactively publish data warehouse information and track its usage, plus aggressively manage the
process of change in the data warehouse. (...)
Excerpt related to
data warehouse data mining:
... Customers evaluating data warehouse solutions should include SAS Institute
on a long ... statistical products, SAS is particularly strong in the data-mining
arena. ...
Published:
2000-03-13
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Abstract:
Oracle Database 11g for Data Warehousing and Business Intelligence. Find RFP Templates and Other Solutions to Define Your
Project In Relation To Oracle Database, Data Warehousing and Business Intelligence. Oracle Database 11g is a database platform
for data warehousing and business intelligence (BI) that (...)
Excerpt related to
data warehouse data mining:
Oracle Database 11g for Data Warehousing and Business Intelligence. Find RFP Templates and Other Solutions to Define Your
Project In Relation To Or...
Published:
2010-03-11
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Abstract:
There’s a lot of “big” money to be made these days when it comes to the analysis of big data. Find out what the key components
are in this special report. One thing we learned in the data warehouse and data management world is that when it comes to
the analysis of big data, there is also a lot of bi (...)
Excerpt related to
data warehouse data mining:
... executive report publishing or to perform complex data mining for fraud
... Game When companies realized that their traditional data warehouse
implementations were ...
Published:
2010-11-05
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Abstract:
SAS Institute, a vendor of integrated data warehousing, decision support and information delivery software, has announced
the production availability of SAS/Warehouse Administrator® software, Version 2.1. With an open component-based architecture,
improved data access and management capabilities, thin- (...)
Excerpt related to
data warehouse data mining:
SAS Institute, a vendor of integrated data warehousing, decision support and information delivery software, has announced
the production availabil...
Published:
2000-09-12
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Abstract:
Rising data volume is not the only reason companies are concerned with issues of data integration and data quality. The growing
numbers of disparate systems that produce and distribute data add to the complexity. But in many companies, data quality management
has not kept pace with the growth of data int (...)
Excerpt related to
data warehouse data mining:
The Importance of a Single Platform for Data Integration and Quality Management. ... Find
out how moving toward a single data services architecture can help. ...
Published:
2010-03-11
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Abstract:
Business intelligence (BI) is no longer just for back-office analysts. More people are using BI in their daily tasks than
ever before. This white paper explains how job scheduling makes data warehousing—the key component in modern BI—more efficient,
relevant, and accurate. It also outlines how one c (...)
Excerpt related to
data warehouse data mining:
Job Scheduling: A Strategic Pathway for Improved Data Warehouse/Business Intelligence Performance.
Source: Advanced Systems Concepts, Inc. ...
Published:
2010-07-23
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Abstract:
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to 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 im (...)
Excerpt related to
data warehouse data mining:
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to Four Critical Success
Factors to Cleansin...
Published:
2010-03-11
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Abstract:
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing
a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed. (...)
Excerpt related to
data warehouse data mining:
... Even with a data warehouse that is well designed and equipped with
the best tools for business intelligence (BI), users will encounter inefficiency and ...
Published:
2009-07-17
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Abstract:
Microsoft announced that they are running 20 critical internal systems, including their worldwide sales data warehouse, on
SQL Server 2000. In the vendor world, this is referred to as “eating your own dog food”. As is the case with all software
vendors lately, Microsoft is pushing e-commerce on the (...)
Excerpt related to
data warehouse data mining:
... information see the TEC News Analysis, Microsoft Says OLE Data Mining:
Is it Bull ... Customers investigating low to mid-tier data warehouse and
data mart solutions ...
Published:
2000-05-12
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Abstract:
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive
advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed. (...)
Excerpt related to
data warehouse data mining:
... Not all warehouse implementations require sophisticated analysis techniques such as
data mining (statistical analysis to discover trends in the data), data
...
Published:
2000-08-02
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Abstract:
Most small to midsize companies have found business intelligence (BI) solutions to be beyond their financial reach. But now,
you don’t have to rely only on spreadsheets for data visibility—with software-as-a-service (SaaS), BI can quickly and easily
be set up enterprise-wide. Find out five requiremen (...)
Excerpt related to
data warehouse data mining:
... Find out five requirements of a scalable data warehouse strategy, for
more effective data analysis and better understanding of business performance. ...
Published:
2010-03-11