1.
© 2013 IBM Corporation
Take action on sensor data in
real-time based on analytics in R
Easy streaming analytics with InfoSphere Streams
Stephan Reimann – IT Specialist Big Data – stephan.reimann@de.ibm.com @stereimann
Wilfried Hoge – IT Architect Big Data – hoge@de.ibm.com @wilfriedhoge

2.
© 2014 IBM Corporation
Traditional approach
– Historical fact finding
– Analyze persisted data
– (Micro-) Batch philosophy
– PULL approach
Streaming analytics
– Analyze the current moment / the now
– Analyze data directly “in Motion” – without
storing it
– Analyze data at the speed it is created
– PUSH approach
Streaming analytics is a paradigm shift from pull to push analytics in
real time, directly „on the wire“, data does not need to be persisted
Repository InsightAnalysisData InsightAnalysisData

3.
© 2014 IBM Corporation
InfoSphere Streams is the result of an IBM research project, designed
for high-throughput, low latency and to make streaming analytics easy
Scale out
Millions of Events per Second
Complex Data & Analytics
All kinds of data
Complex analytics: Everything you
can express via an algorithm
Low Latency
Analyzes data at the speed it is
created
Latencies down to µs
Immediate action in real time
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InfoSphereStreams
Capabilities
Howitworks
– Define apps as flow graphs consisting of
sources (inputs), operators & sinks (outputs)
– Extend the functionality with your code if
required for full flexibility
– The clustered, distributed runtime on
commodity HW scales nearly limitless
– GUIs for rapid development and
operations make streaming analytics easy

4.
© 2014 IBM Corporation
LIVE - DEMO

5.
© 2014 IBM Corporation
Free Quickstart Edition Developer Community
Streaming analytics is about analyzing all the data, continously, just
in time, it enables a completely new generation of big data apps
www.ibmdw.net/streamsdev/ibm.co/streamsqs
Stop just dreaming of real time big data
Start with streaming analytics!!!
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Radio astronomyHealthcareTelCoTransport Smart GridIoT
Streaming Analytics is already reality
... and is a key component of many
innovations
...
Tutorials,
Labs,
Forum, ...
Connected Car
GitHub Community
github.com/IBMStreams
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Toolkits,
Toolkits,
Toolkits