Wednesday, March 20, 2013 |
News Highlights
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Stephen Swoyer
Hadoop started out as a mostly
developer-driven effort, but some data managers warn that Hadoop
could be tapped for applications better served by existing tools. Is
Hadoop just hype? For certain high-scale, processing-intensive
tasks, "it rocks," says one booster.
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Linda Briggs
In this interview, we pose questions
about machine-generated big data and operational intelligence to
Raanan Dagan at Splunk, a company that Fortune magazine cited for
"pulling off one of 2012's strongest IPOs." Splunk's customers
include Facebook and the U.S. Defense Department.
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We examine why businesses need to
provide a solid data foundation to their data-leveraging
initiatives. The good news is that this same information
architecture can be used for data leveraging strategies.
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TDWI Webinar Series:
Speaker:
Mark Madsen
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As the use of big data grows, the need
for data management in the new environment will also grow. The
combination of new data and new technology requires new data
management capabilities and processes in order to realize the
promised benefits. |
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Upcoming Webinars of Interest
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Building a data warehouse is the stuff of
legend -- unreal project lengths, famous failures, and some
surprising successes! Enterprise data warehouses emphasize quality
and completeness; data marts major in speed and business value.
Today, users demand instant satisfaction and quality solutions.
Speaker:
Barry Devlin
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Register
Now
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The incremental movement toward real-time
operation is the most influential trend today in data-driven IT
disciplines such as BI, data warehousing, and data integration. From
a technology viewpoint, collecting, processing, and delivering data
is hard enough; doing it in real time requires effort that is
downright Herculean. Data volumes continue to rise, exacerbating the
situation.
Speaker:
Philip Russom
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Register
Now
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Events Calendar
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