Wednesday, May 01, 2013 |
News Highlights
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Fern Halper
We explore several fundamental changes
driven by big data analytics.
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Stephen Swoyer
Data from sensors and machines loses
value as it ages. That's why landing it in a traditional data
warehouse -- or even in a repository such as Hadoop -- doesn't make
much sense, says Vitria CTO Dale Skeen. Because it's both fast-paced
and unpredictable, OI's requirements outstrip the capabilities of
traditional BI or DW tools, Skeen argues.
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Learn how a telecommunications provider
used a data-centric IT architecture to integrate multiple disparate
databases to ensure accurate, trusted, and timely data for all
corporate departments, helping the company create smart marketing
campaigns built on mobile subscriber profile data with real-time
response analysis. (From TDWI's What Works in Emerging
Technologies.)
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TDWI Webinar Series:
Speaker:
Philip Russom
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Just a few years ago, big data was a
problem in terms of scaling up IT systems and discovering the
business value. Thanks to advances in vendor platforms and user
practices, most enterprises today consider big data an opportunity --
not a problem -- because they can mine and analyze it for valuable
business insight. |
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Upcoming Webinars of Interest
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No profession is getting more attention
these days than that of the "data scientist." Data scientists have
made the covers of business magazines and are practically rock stars
at online companies such as Google, Facebook, and LinkedIn.
Speaker:
David Stodder
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Register
Now
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Apple defined a new category of computing
with the release of the Apple iPad. It also reinvigorated the BI
market with visually attractive dashboards on every tablet. Mobile
BI promises to make BI more immediate and accessible for executives
and field workers alike.
Speaker:
Cindi Howson
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Register
Now
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Events Calendar
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