Wednesday, November 12, 2014 |
News Highlights
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James Powell
Noumenal's Marc Demarest explains why
it's time to get back to where the industry began and understand the
essentials of information demand and supply, not focus on the
technical characteristics of the plumbing.
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Krish Krishnan
How to create a road map to move your
enterprise from descriptive analytics to
prescriptive analytics.
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Stephen Swoyer
Start-up Bright Vine's co-founders have
a seemingly can't-miss pitch: on the one hand, their new product is
a query optimizer, which means it decomposes and figures out how
best to run a SQL query. On the other hand, it's a massively parallel
distributed or federated query engine, which means it figures out
where best to run a query. But does Bright Vine have what it takes
to compete in today's hype-filled market?
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Bob Potter and Bryan Smith
Mainframes have long provided powerful
processing to enterprises but lagged in their support of BI
workloads. Learn how that's changed in recent years.
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TDWI Webinar Series:
Speaker:
Fern Halper
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This Webinar will help both business and
technical analysts develop their storytelling skills with business
and technical best practices. Learn how to tell a story and keep
your audience's attention. Avoid common problems that plague those
new to analytics and learn to adapt a few traditional storytelling
techniques to your own story. |
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Upcoming Webinars of Interest
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The real value of a decision-making
environment is not reports or multi-dimensional analytics but the
creation and use of more sophisticated analytics such as statistics
and data mining. To support these critical capabilities, extend your
traditional data warehouse environment to include data sets in more
fluid, less controlled components in addition to the enterprise data
warehouse. In this Webinar we examine the new architecture for
analytics including different data provisioning techniques for each
component and when to use each.
Speaker:
Claudia Imhoff
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Register
Now
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Learn how enterprise and data
architectures are changing, the practical applications of Hadoop and
NoSQL data stores in enterprise architecture and IT infrastructure,
and how to enable business analysts, product managers, and other
colleagues to analyze big data. We'll also explore why rapid time
to value and lower risk of project failure are major criteria in
evaluating a platform to search, explore, and visualize big data and
new data.
Speaker:
Philip Russom
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Register
Now
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Events Calendar
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