Wednesday, September 26, 2012 |
News Highlights
|
|
|
Stephen Swoyer
For many, Hadoop has become synonymous
with big data, just as MapReduce and Hadoop likewise are used
synonymously. Data management vendors are anxious to correct this
and put their own spin on the term "big data."
|
|
|
|
Linda Briggs
With mobile devices predicted to exceed
the world's population by the end of 2012, the world of mobile
advertising is a perfect -- if highly demanding -- area for
analytics. Mobile ad company InMobi is using InfoBright's columnar-
based database successfully; queries that used to take 30 minutes to
hours in Hadoop are now completed in under 10 seconds.
|
|
|
|
Stephen Swoyer
New and more powerful analytic
technologies require new and more powerful ways of thinking about
how information is managed and consumed. What's actually needed,
some industry veterans claim, is a radically new information
ecosystem.
|
|
|
|
TDWI Research is currently examining
how well organizations are able to adjust their BI and data
warehouse (DW) development, deployment, and management to enable
greater agility.
|
|
|
|
Data virtualization is a vital data
management tool, but it's not the right tool for every purpose.
(From TDWI's "What Works" series.)
|
|
| |
|
TDWI Webinar Series:
Speaker:
Philip Russom
|
|
|
|
TDWI sees user organizations continuing
their long-running success with various designs and architectures
for data warehouses. However, recent business and technology
requirements demand support for numerous workloads for advanced
analytics and big data, workloads that many data warehouses were not
designed for by their users (due to an organizational focus on
requirements for reporting and OLAP). |
|
Upcoming Webinars of Interest
|
In the new big data environment that is
emerging, diverse data from multiple sources is arriving in large
volumes on a near-continuous basis. How can you analyze it all fast
enough to make informed decisions? Agile development, cloud
computing, advanced analytics, text analytics, data visualization,
virtualization, open source; social media, collaboration, and mobile
BI are evolving.
Speaker:
Cindi Howson, Philip Russom, and Paul Kautza
|
Register
Now
|
|
|
We are in the midst of a big data
explosion thanks to new data sources such as social media, sensors,
and RFID. At the same time, new technologies are emerging to help
organizations manage and analyze all this new big data and tap into
unstructured data, which until now has been largely unused.
Speaker:
Philip Russom
|
Register
Now
|
|
|
|
|
|
Events Calendar
|
|
|
|
|
|
Forward to a Friend