Wednesday, April 09, 2014 |
News Highlights
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Tony Lopykinski
Having all the data can't help your
company improve its overall operations. To drive and maintain BI
adoption, an organization must understand that change must be
managed through three stages in five simple steps.
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Stephen Swoyer
At TDWI's recent Executive Summit in
Las Vegas, Nevada, Teradata veteran Dan Graham got downright
heretical, at least from the perspective of data management
orthodoxy. The problem, Graham argued, is that DBAs tend to be a
little bit too conservative, too orthodox. That must and will
change, he says.
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Max T. Russell
Welcome failure as a source of feedback
that leads to success.
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Stephen Swoyer
If you want to understand data
integration in an age of analytic heterogeneity, you must follow the
process: process movement, not data or workload movement, is where
it's at.
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TDWI Webinar Series:
Speaker:
Philip Russom
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The complexity of data warehouse
environments has increased dramatically in recent years with the
arrival of data warehouse appliances, columnar database management
systems, NoSQL databases, Hadoop, and tools for multiple forms of
advanced analytics or real-time operation. The new vendor and open
source platforms come in response to users' growing demands for
platforms optimized for various forms of big data, analytics, real-time operation, and the workloads that go with them. |
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Upcoming Webinars of Interest
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As companies seek to gain competitive
advantage through analytics, a change is occurring in the data and
infrastructure that support it. Several technology factors are
coming together to form the fabric of an evolving analytics
ecosystem. Advanced analytics, in particular, are becoming more
important as companies embrace big data. This includes techniques
such as advanced visualization and machine learning that can be
particularly beneficial in big data discovery and analysis.
Speaker:
Fern Halper
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Register
Now
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In-memory database management systems
have matured to the point where they predictably promise accelerated
application performance. By adopting alternative storage layouts
amenable to in-memory processing, these databases take advantage of
efficient use of available memory to reduce or even eliminate the
data latencies typically associated with significantly slower disk-based
storage media.
Speaker:
David Loshin
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Register
Now
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Events Calendar
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