IoT - Wie die Flut an Daten nutzbar wird…
Maik Jordt
Sales Director, DACH
November 2014
2© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Connect | Berlin 20.–21. November 2014
IoT—eine Standortbestimmung
Maik Jordt, MapR Technologies
3© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Connect | Berlin 20.–21. November 2014
Was ist IoT?
“Das Internet der Dinge (auch englisch Internet of Things, Kurzform:
IoT) beschreibt, dass der (Personal) Computer zunehmend als Gerät
verschwindet und durch „intelligente Gegenstände“ ersetzt wird. Statt
– wie derzeit – selbst Gegenstand der menschlichen Aufmerksamkeit
zu sein, soll das „Internet der Dinge“ den Menschen bei seinen
Tätigkeiten unmerklich unterstützen. Die immer kleineren
eingebetteten Computer sollen Menschen unterstützen ohne
abzulenken oder überhaupt aufzufallen.“
4© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Connect | Berlin 20.–21. November 2014
IoT—a superset of the Internet
thin fat
stationary
mobile
devices and their deployment
5© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Connect | Berlin 20.–21. November 2014
The IoT landscape
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The value of Business Intelligence
business value
reporting
what happened?
OLAP
why did it happen?
real-time analytics
what and why is it happening, now?
predictive analytics
what might happen?
7© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Connect | Berlin 20.–21. November 2014
Technologies typically used to realise …
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Internet of Things use cases
Maik Jordt, MapR Technologies
9© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Connect | Berlin 20.–21. November 2014
Categorization & use cases
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Automotive sector
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Largest biometric database in the world
1.2BPEOPLE
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Largest biometric database in the world
Goals:
– Enable residents to participate in daily commercial business
– Decrease embezzlement of government subsidies $1.3+ billion
Introduced in 2010 now over 500 million residents are registered
Performs > 4.73 million authentications per minute with a latency SLA of 200 milliseconds
13© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Connect | Berlin 20.–21. November 2014
The Internet of Things architecture: iot-a
Maik Jordt, MapR Technologies
14© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Connect | Berlin 20.–21. November 2014
Observations
IoT lends itself to Big Data approach
”Using scale-out techniques on commodity hardware in a schema-on-read fashion along with community-defined interfaces”
Volume: store all incoming sensor data for historical references
Variety: dozens of data formats in use in the IoT world and none of the sensor data is relational
Velocity: many devices generate data at a high rate; usually we cope with data streams
15© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Connect | Berlin 20.–21. November 2014
Requirements
Able to natively deal with the raw data from devices, typically many (trillions) of
small files in non-relation formats
Support a range of workloads, especially streaming as first-class citizen
Ensure business continuity to meet SLAs
Provide for a secure, safe and privacy-aware end-to-end operation
16© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Connect | Berlin 20.–21. November 2014
The IoT architecture (iot-a)
17© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Connect | Berlin 20.–21. November 2014
Example iot-a
HDFSdistributed File-System
noSQL(HBase)Key-Value Store
input outputreal-time
outputinteractive
outputbatch
batch jobs
batch jobs
18© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Connect | Berlin 20.–21. November 2014
MapR’s IoT offering
Maik Jordt, MapR Technologies
19© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Connect | Berlin 20.–21. November 2014
Was ist Hadoop?
Hadoop speichert jede Art von
Daten, analysiert und transformiert.
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Hadoop for Dummies
21© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Connect | Berlin 20.–21. November 2014
OPERATIONAL SYSTEMS
ANALYTICALSYSTEMS
ENTERPRISE USERS
1
• Data staging
• Archive
• Data transformation
• Data exploration
• Streaming,
interactions
2 Interoperability
1 Reliability and DR
4Supports operations
and analytics
3 High performance
Keys for Production Success
Hadoop Relieves the Pressure from Enterprise Systems
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MapR’s IoT offering
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Architecture Matters for Success
FOUNDATION
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Architecture Matters for Success
FOUNDATION
Data protection
& security
High performance
Multi-tenancy
Operational &
Analytical Workloads
Open standards
for integration
NEW APPLICATIONS SLAs TRUSTED INFORMATION LOWER TCO
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MapR: Best Solution for Customer Success
Top Ranked Exponential Growth 500+ CustomersPremier
Investors
3X bookings Q1 ‘13 – Q1 ‘14
80% of accounts expand 3X
90% software licenses
< 1% lifetime churn
> $1Bin incremental revenue
generated by 1 customer
Thank you.