IoT - Wie die Flut an Daten nutzbar wird

Transcription

1 IoT - Wie die Flut an Daten nutzbar wird Maik Jordt Sales Director, DACH November 2014

2 IoT eine Standortbestimmung Maik Jordt, MapR Technologies 2

3 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. 3

4 IoT a superset of the Internet mobile thin fat stationary devices and their deployment 4

5 The IoT landscape 5

6 The value of Business Intelligence predictive analytics what might happen? real-time analytics what and why is it happening, now? reporting what happened? OLAP why did it happen? business value 6

7 Technologies typically used to realise 7

8 Internet of Things use cases Maik Jordt, MapR Technologies 8

9 Categorization & use cases 9

10 Automotive sector 10

11 Largest biometric database in the world 1.2B PEOPLE 11

12 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 12

13 The Internet of Things architecture: iot-a Maik Jordt, MapR Technologies 13

14 Observations IoT lends itself to Big Data approach Using scale-out techniques on commodity hardware in a schemaon-read fashion along with community-defined interfaces Volume: store all incoming sensor data for historical references Variety: dozens of data formats in use in the IoT world and none of the sensor data is relational Velocity: many devices generate data at a high rate; usually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 14

15 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 15

16 The IoT architecture (iot-a) 16

17 Example iot-a input output real-time batch jobs nosql (HBase) Key-Value Store output interactive HDFS distributed File-System output batch batch jobs 17

18 MapR s IoT offering Maik Jordt, MapR Technologies 18

19 Was ist Hadoop? Hadoop speichert jede Art von Daten, analysiert und transformiert. 19

20 Hadoop for Dummies 20

21 1 Hadoop Relieves the Pressure from Enterprise Systems ENTERPRISE USERS Keys for Production Success 1 Reliability and DR 2 Interoperability OPERATIONAL SYSTEMS ANALYTICAL SYSTEMS 3 High performance 4 Supports operations and analytics Data staging Archive Data transformation Data exploration Streaming, interactions 21

22 MapR s IoT offering 22

23 Architecture Matters for Success FOUNDATION 23

24 Architecture Matters for Success NEW APPLICATIONS SLAs TRUSTED INFORMATION LOWER TCO Data protection & security Multi-tenancy Open standards for integration High performance Operational & Analytical Workloads FOUNDATION 24

25 MapR: Best Solution for Customer Success Top Ranked Exponential Growth 500+ Customers Premier Investors 3X bookings Q1 13 Q % software licenses 80% of accounts expand 3X < 1% lifetime churn > $1B in incremental revenue generated by 1 customer 25

26 Q & A Engage with maprtech mapr-technologies MapR mjordt@mapr.com maprtech

27 Thank you.