Databases Reference
In-Depth Information
Broadening the impact of artemis
The flexibility of the platform means that in the future, any condition that can be detected through
subtle changes in the underlying data streams can be the target of the system's early-warning capa-
bilities. Also, since it depends only on the availability of a data stream, it holds the potential for use
outside the ICU and even outside the hospital. For example, the use of remote sensors and wireless
connectivity would allow the system to monitor patients wherever they are, while still providing life-
saving alerts in near-real time. Dr. James states:
I think the framework would also be applicable for any person who requires close monitoring—
children with leukemia, for example. These kids are at home, going to school, participating in
sports—they're mobile. It leads into the whole idea of sensors attached to or even implanted in the
body and wireless connectivity. Theoretically, we could ultimately monitor these conditions from
anywhere on the planet.
This case study shows the applicability of processing techniques to real-world situations where
the ROI is visible and measurable. Extending the concept, you can also architect a machine learning
system to make this architecture even more useful.
Case study 5: Microsoft SQL server customer solution
This case study is a new-generation solution combining the traditional RDBMS/SQL server along
with Hadoop. This case study is provided by Microsoft Corporation.
Customer profile
Founded in 2007, Klout is a privately held firm of about 70 employees that helps individuals and
companies gain a competitive advantage by filtering through and understanding the hundreds of ter-
abytes of information generated each day on social media networks. Based in San Francisco, CA,
Klout is recognized as a pioneer in Big Data solutions by leading organizations such as the
Wall
Street Journal
and
Forbes
magazine. “When it comes to business intelligence, Microsoft SQL Server
2012 demonstrates that the platform has continued to advance and keep up with the innovations that
are happening in Big Data,” notes David Mariani, vice president of engineering at Klout.
Klout wanted to give consumers, brands, and partners faster, more detailed insight into hundreds
of terabytes of social media network data. It also wanted to boost efficiency. To do so, Klout deployed
a business intelligence solution based on Microsoft SQL Server 2012 Enterprise and Apache Hadoop.
As a result, Klout processes data queries in near-real time, minimizes costs, boosts efficiency,
increases insight, and facilitates innovation.
Solution spotlight
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Speeds efficiency and cuts costs by reducing complexity and speeding Big Data queries to near-
real time.
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Increases insight and competitive advantage by providing more detailed information.
●
Facilitates innovation.
