Wednesday, July 31, 2013 |
News Highlights
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Philip Russom
How enterprises can accelerate the
creation of new data quality solutions while aligning with business
goals.
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Ken Collier and Lynn Winterboer
Agile leaders focus more on the
continuous delivery of high-priority value to business stakeholders
and less on making sure each worker is always busy. We explain how
your BI program will benefit by limiting developer multi-
tasking.
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Linda Briggs
"Hadoop will radically change the cost
structure of managing data, and thus of ETL," according to
Syncsort's Jorge A. Lopez. Despite that, he says, organizations
embarking on Hadoop ETL initiatives must realize that Hadoop is not
a complete ETL solution on its own.
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Jill Dyché
How are enterprises adopting big data
and what challenges do they face?
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Rutrell Yasin
A cadre of researchers and digital
library and computer scientists are creating a Web-based video
library to encourage widespread data sharing in the behavioral
sciences where video is commonly used but rarely shared. (Courtesy
of GCN.com.)
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TDWI Webinar Series:
Speaker:
David Stodder
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Organizations today need to get ahead of
events so they can adjust decisions about resources, personnel, up-
sell and cross-sell offers, fraud and abuse detection, and more in
dynamic fashion. Analytics can play a key role in bringing
predictive insights to executives and managers. With these insights
coupled with continuous, real-time data views from business and
operational intelligence systems, organizations can be "proactive" -
- that is, they can do more than just react after the fact to events
and market changes, and instead shape their own destiny. |
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Upcoming Webinars of Interest
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As user organizations dive deeper into
big data analytics, many are depending more heavily than ever on
SQL-based, ad hoc queries as their primary method for data
exploration and discovery analytics (sometimes called investigative
analytics). At the same time, the same organizations are adopting or
considering Hadoop as their primary storage platform for big data.
SQL-based analytics and Hadoop are good choices in isolation, but
bringing them together has a catch: Hadoop's support for queries is
minimal at the moment.
Speaker:
Philip Russom
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Register
Now
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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.
Speaker:
Philip Russom
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Register
Now
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Events Calendar
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