Internet of Things and Big Data: Vision and Concrete Use Cases
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Transcript of Internet of Things and Big Data: Vision and Concrete Use Cases
IoT and Big Data
Internet of Things and Big DataPart I / III: Vision and Concrete Use Cases
IoT and Big Data
Joint Webinar Series:
Register to Reserve your Seat
Webinar 1: Vision & Use Cases
Webinar 2: Data Management Requirements for the IoT
Webinar 3: From Concept to Code
IoT and Big Data
Today’s Speakers
Dirk Slama, Director of Business DevelopmentBosch Software Innovations
20+ years of experience in large-scale distributed application projects including M2M and IoT projects
Emil Berthelsen, Principal AnalystMachina Research
Two decades of experience with management, strategic and research consulting in business process management, telecoms and IT and more recently focused on M2M, IoT and Big Data
Mat Keep, Product Management & Marketing MongoDB
15 years working in high scale, data driven systems, working with relational databases before moving into NoSQL and Big Data platforms
IoT and Big Data
"Fixed" computing
Mobility/BYOD Internet of things Internet of everything
Source: Cisco IBSG, 2013
(you go to the device) (the device goes with you) (age of devices) (people, process, data, things)
1995 2000 2013 2020
200M
10B
50B
Rapid growth of connected things
IoT and Big Data
IoT Predictions (by 2020-22)
7,1tn IoT Solutions Revenue | IDC
Some Big Numbers:
1,9tn IoT Economic Value Add | Gartner
309bn IoT Supplier Revenue | Gartner
50bn Connected Devices | Cisco
14bn Connected Devices | Bosch SI
Some small numbers:
http://postscapes.com/internet-of-things-market-size
Peter Middleton, Gartner:“By 2020, component costs will have come down to the point that connectivity will become a standard feature, even for processors costing less than
$1“
IoT and Big Data
Networkedheating systems
Networkedsurveillance systems
Connectedvehicles
Smart sensorplatforms
Network capability of
devicesLow power
consumptionSmall form
factor
Energy harvesting capability
Wirelesstechnologies
Applications
Appropriatecost
Enablers
IP is a key driver of innovation
IoT and Big Data
Bosch Group – Example Products
IoT and Big Data
THING IT[HW | SW]
THING-BASEDFUNCTION[Local | Business models known]
IT-BASEDSERVICE
[Global | Business models required]
IoT Formula for Success
Example SERVICE: Send ambulance in case of accident (detected by sensors)
Example FUNCTION: Drive from A to B
A B
Source: University of St. Gallen, Prof. Dr. Elgar Fleisch
IoT and Big Data
Key Drivers in the IoT Ecosystem
Enterprises Process efficiency End-to-end processes STP Real-time decisions Big Data
Partners Value chain
optimization Real-time integration Flexible supply chains Mobile tracking &
monitoring
Users Mobile revolution Social & business
networks Personalized services Location based services
Things Ubiquitous comms: GSM,
WiFi, BlueTooth, ZigBee, NFC, RFID
HW: Cost , performance Software: Embedded Linux,
embedded Java, … Smart devices, sensors,
actuators
IoT and Big Data
Vehicle Equipped with telematics unit Sensors to monitor moving
parts, hydraulics liquids, etc
Partners Service provider Repair specialist and vehicle
manufacturers
Vehicle Driver On-board diagnostics Information about other
vehicles, e.g. to unload harvest
Vehicle Operations Intelligent monitoring of
machine KPIs and fluid analysis
Optimum servicing intervals
Example: Remote Condition Monitoring
IoT and Big Data
So this brings us to…
IoT and Big DataTe
ns
Hu
nd
red
s
Th
ou
san
ds
M
illion
s
Billion
s
Con
necti
on
s
Internet of Things
Machine-to-Machine
Isolated (autonomous, disconnected)
Monitored
Smart Systems (Intelligence in Subnets of
Things )
Telemetry and
Telematics
Smart HomesConnected Cars
Intelligent BuildingsIntelligent Transport
SystemsSmart Meters and
GridsSmart Retailing
Smart Enterprise Management
Remotely controlled and managed
Building automation
ManufacturingSecurityUtilities
Internet of Things
SensorsDevicesSystemsThings
ProcessesPeople
IndustriesProducts Services
Growth in connections generates an unparalleled scale of data
Source: Machina Research 2014
IoT and Big Data
A new mindset and technology is required for
IoT
A changing approach to databases in the Internet
of Things
IoT and Big Data
New requirements in enabling technologies
Devices
Connectivity
Platforms
Internet of Things
Connected things, products,
services, systems, etc.
Security
Networks
Apps & Analytics
DatabasesSource: Machina Research 2014
IoT and Big Data
Data
Big data
Changing data models
Real-time Processing
Aggregation
Internet of Things
Large estates of devices
Evolving applications
All forms of data
Data streaming and processing
Pre-IoT (M2M)
Limited estate of devices
Single purpose applications
Structured / Semi-structured
Data transfers (sensors and
actuators)
Evolution from M2M to IoT and Big Data
Source: Machina Research 2014
IoT and Big Data
Data
Big data
Changing data models
Real-time processing
Aggregation
Databases will need to address new requirements
Scalability
Flexibility
Analytics
Unified View
Source: Machina Research 2014
IoT and Big Data
ScalabilityHeterogeneity
Agility & Flexibility
inApplications, Devices
and Connectivity
ScalabilityFlexibilityAnalytics
Unified View
inData
M2M & IoT Application Platforms
Data Databases
SQL(Oracle, IBM, etc.)for structured data
Hybrid(SAP Hana, VoltDB, etc.)
for speed and heterogeneity
NoSQL(MongoDB, Cassandra, etc.)
for agility and heterogeneity
IoT-Platforms and Database-Systems
Source: Machina Research 2014
IoT and Big Data
IoT Foundation: Bosch Suite for IoT
A
D
C
B
Scale
Flexibility
Analytics
Unified View
IoT and Big Data
Example Applications
IoT and Big Data
Event Correlation
IoT and Big Data
Use Case 1: Retail & Logistics
IoT and Big Data
Use Case 2: Handheld Power Tools
IoT and Big Data
Use Case 3: Field Data Capturing
Project SCFD Structured Capturing
of Field Data Components: Car
brakes, power steering, etc.
Usage patterns: temperature, voltage, etc.
Predictive maintenance, product optimization
Why MongoDB: Constantly evolving
system, from a data capturing and a data analytics point of view
Large amount of streaming data
Asset Management
Stream Processing
Big Data Manageme
ntAnalytics
BRM BRM
IoT and Big Data
Capabilities
Solutions
Key Capabilities of MongoDB
Bosch SI IoT SuiteM2M | BPM | BRM | Big Data
A
D
C
B
Scale
Flexibility
Analytics
Unified View
IoT and Big Data
Register Now for Webinar 2
Key Data Management Capabilitiesfor IoT
IoT and Big Data
Any questions?