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- Analytics: Detect the Expected – Discover the Unexpected Summary
Traditional business intelligence typically delivers answers to a set of known questions while data discovery and visual analytics focuses on drawing inferences and conclusions from data.
by Soumendra Mohanty - Classification of Corporate Data Summary
Bill Inmon explains why it is critical to understand the types of data within a corporation in order to gain value from that data through analysis.
by Bill Inmon - Social Network Analysis, Metadata and Business Intelligence: Paul Revere’s Ride Revisited Summary
Dr. Barquin provides an interesting perspective on social network analysis by looking at Paul Revere's "connections."
by Dr. Ramon Barquin - Is Text Really Unstructured Data? Summary
Bill Inmon explains that although text is called unstructured data, text does have structure.
by Bill Inmon - Analyzing Search Summary
Ever wonder what online businesses can learn from your search activity? David Loshin looks at how this information can be analyzed over time to extrapolate your demographic details as well as your areas of interest.
by David Loshin - Are Big Data and Data Science Initiatives Cost Prohibitive? Summary
Are big data projects beyond the reach of all but the large enterprises? You may be surprised to learn that big data projects don't necessarily mean big expense.
by Haranath Gnana - Kimball versus Inmon Approach Summary
Data warehousing approaches fall into two major camps: Inmon or Kimball. Deborah Arline compares the two approaches.
by Deborah Arline - The Evolving Modern Data Warehouse Summary
How is data warehousing changing in order to meet modern business requirements and realities? Timur Mehmedbasic explains the evolution and how organizations are addressing the rapidly increasing data volumes as well as the growing variety of data types.
by Timur Mehmedbasic
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Editors' Picks:
- Big data vendors should stop dissing data warehouse systems Summary
Wayne Eckerson examines the roles of data warehouses and big data systems in analytical environments -- and says he's tired of data warehouse bashing. - Laws leave gray area between big data and privacy Summary
Laws on data collection and use remain foggy, leaving businesses to feel their way through big data and privacy laws. - Data collection practices spark debate on big data ethics, privacy Summary
The increasing emphasis on collecting and analyzing big data is driving a debate on whether tighter privacy rules are needed to protect customers.
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