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Data Warehousing & Data Mining Explained

Data Warehousing is the storage of big data. Data mining is the analysis of the collected data in order to find trends in the collected data.
dbta

Data Warehousing in the Era of Big Data

For decades, the enterprise data warehouse (EDW) has been the aspirational analytic system for just about every organization. It has taken many forms throughout the ...
IT Business Edge

Nine Key Data Warehousing Trends for the CIO in 2011 and 2012

According to Gartner, Inc., CIOs need to familiarize themselves with nine key trends in data warehousing and how they will impact the cost-benefit balance of technology deployed to deliver business ...
ZDNet

Servicing the longtail of data warehousing

Enterprise applications are large, difficult to set up, and needs lots of custom programming to integrate with the rest of the company's tools. What's more they're very expensive. When the State of ...
ZDNet

Oracle takes a new twist on MySQL: Adding data warehousing to the cloud service

MySQL, the open source relational database that came to Oracle through the Sun Microsystems acquisition, originated as a relatively simple relational database that was known for one task: transaction ...
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From Traditional Data Warehousing to AI-Enabled Analytics: Adopting Cutting-Edge Technologies in Healthcare Analytics

For decades, traditional data warehousing has been the backbone of healthcare analytics. These systems offered a structured approach to collecting, storing, and processing vast amounts of healthcare ...
Business Wire

83% of IT Leaders are Not Fully Satisfied with their Data Warehousing Initiatives, According to New Research from SnapLogic

SAN MATEO, Calif. & LONDON--(BUSINESS WIRE)--New research published today by SnapLogic, provider of the #1 Intelligent Integration Platform, reveals that 83% of organizations are not fully satisfied ...