Wednesday, August 21, 2013 |
News Highlights
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David Stodder
Although their responsibilities and
cultures may be planets apart, organizations ultimately need what
business and IT teams can only deliver together.
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David S. Linthicum
The cost of data integration is clearly
misunderstood by most building BI systems. You need to understand
more than you think, and it takes more time than you expect.
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Stephen Swoyer
The Apache Cassandra distributed
database is fault-tolerant; as packaged by DataStax, it offers
support for the Hadoop stack and boasts an integrated analytic
search capability. DataStax claims to be cloud-ready -- meaning a
distributed, peer-to-peer meshwork of databases, applications, and
services. Its vision challenges both Hadoop and the BI status
quo.
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Learn how hospitals are using business
intelligence dashboards to capitalize on labor productivity tools
and make their resources count. (Short registration required for
those downloading content from TDWI for the first time.)
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TDWI Webinar Series:
Speaker:
Philip Russom
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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. |
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Upcoming Webinars of Interest
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Self-service BI is becoming increasingly
popular as business users demand more control over their analytical
assets and IT continues to be strapped by budget and resource
constraints. Many information workers now expect to be able to
interact with information and create their own views to address
pressing business issues. At the same time, BI teams would like to
offload report and analytics creation duties to users and focus on
more value-added activities.
Speaker:
Claudia Imhoff
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Register
Now
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Why predictive analytics now? Many
companies use BI to get a better understanding of what has already
happened in their business --a backward-looking view. Although this
can be somewhat useful, organizations can gain real value by
harnessing their valuable corporate data to understand why something
is happening now, and more important, what's likely to happen
next.
Speaker:
Claudia Imhoff
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Register
Now
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Events Calendar
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