Wednesday, April 03, 2013 |
News Highlights
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Is ROI for BI projects practical or
even do-able? Is there a science to calculating ROI, or should we
just use gut feel? Consultant, author, and speaker William McKnight
explains what you need to know about BI ROI.
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One way to get a sense of what kinds of
technical specialists are working with HDFS and other Hadoop tools
is to look at their job titles. This list of job titles can assist
users concerned about acquiring the right people with the right
skills for Hadoop.
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Big data isn't just about growing data
volumes or integrating new data sources. Human beings need to
interpret the results of big data and build trust in the data. We
look at how big data begins and ends with people.
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Stephen Swoyer
In the on-demand ETL model, a user or
application might not be consuming time-sensitive information in
real time, but is nonetheless triggering an ETL process in real
time. According to some industry veterans, it augurs a big shift in
the way in which analysis and BI are performed and results
disseminated.
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Linda Briggs
"Even though there is plenty that users
can accomplish now using data visualization, the reality is that we
are just at the tip of the iceberg in terms of how people will be
using this technology in the future," says industry analyst Lyndsay
Wise. In this interview, she shares her views about where data
visualization is headed and how to get the best value from it
now.
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TDWI Webinar Series:
Speaker:
Philip Russom
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TDWI recognizes that Hadoop usage is a
minority practice today but assumes that mainstream usage of Hadoop
within BI and data warehousing (DW) applications will become common
across many industries within a few years. This Webinar provides an
overview of Hadoop products and best practices in the context of
BI/DW applications so user organizations can prepare to successfully
integrate Hadoop into their BI/DW technology stacks and software
portfolios. |
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Upcoming Webinars of Interest
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Big data and advanced analytics extend
the traditional BI environment with new analytic solutions that
enhance business decision making and operational efficiency.
Examples of solutions include support for new analytics-driven
operational applications, analytics accelerators, data
transformation hubs, and investigative computing platforms.
Speaker:
Colin White
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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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