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?