Wednesday, November 19, 2014 |
News Highlights
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Stephen Swoyer
For too long, data management (DM) and
application development have been tracking on two radically
different vectors, each with its own distinctive momentum and
direction. Both camps could and should learn from (and influence)
one another.
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Max T. Russell
Trying to make BI fun is risky
business. You may be able to do it, but you should aim to enhance
user experience by making the BI app as useful as possible.
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Stephen Swoyer
At TDWI's recent World Conference in
San Diego, Qlik had a pleasant surprise for attendees: a brand new
self-service visual discovery offering -- Qlik Sense --. The new
product is a departure for Qlik. It's designed to cater to analysts,
power users, and other information consumers who want an interactive
visual discovery experience.
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Fern Halper
It's been a year since TDWI released
its assessment tool. What do the first 600 respondents tell us
about the state of enterprise big data maturity?
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TDWI Webinar Series:
Speaker:
Philip Russom
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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. |
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Upcoming Webinars of Interest
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Hadoop is rapidly moving from prototyping
and standalone solutions to an important component of the enterprise
IT ecosystem. At the same time, the volume of data being managed by
Hadoop systems in support of enterprise data hubs and refineries, as
well as analytic applications, is growing rapidly. Learn about
Hadoop's role in the enterprise, its enterprise readiness, and how
secure Hadoop truly is.
Speaker:
Colin White
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Register
Now
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In this Webinar you'll learn why
operational data stores need to be modernized and how some users are
doing it. Russom will explain how ODSs still support data warehouse
architectures as well as new approaches to advanced analytics, data
archiving, data lakes, and enterprise data hubs. We'll explain how
Hadoop makes a highly scalable and cost-effective platform for ODSs,
especially when compared to traditional relational databases, and
you'll learn how to industrialize the data integration process for a
data hub.
Speaker:
Philip Russom
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Register
Now
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Events Calendar
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