internet of things cologne 2015: why your dad’s database won’t work for iot and industrie 4.0
TRANSCRIPT
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MongoDBIOT City Tour – Cologne
10th September 2015
MongoDB Speaker:Joe DrumgooleDirector of Solutions Architecture, EMEA
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Why Your Dad’s database is not suitable for the Internet of Things and Industrie 4.0
Joe DrumgooleDirector of Solutions Architecture (EMEA)@jdrumgoole
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The Internet - 1971
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The Internet - 2015
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Google Germany
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It used to be Asymmetric
Outbound Bandwidth Inbound Bandwidth
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What used to be at the Edge?
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Today
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What’s Different
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It’s a sensor world
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Everyday Sensors
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Exotic Sensors
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Manufacturing Sensors
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Closing the Manufacturing Loop
Integrated Product/Service Design,Product Manufacturing, Service Development
Distribution & Activation
Marketing & Sales
Service OperationsRemote Condition Monitoring, Remote Maintenance, Predictive MaintenanceSolution Support & Product MaintenanceDigitalServices
Resale & RetirementField
Dat
a / P
rodu
ct
Perfo
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Prod
uct U
sage
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Source: www.enterprise-iot.org
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Service Led Products
Traditional Manufacturer Servitization
Products Solutions
CAPEX OPEX
Transaction Relationship
Connected Asset Lifecycle Management
Digital Services
New, enabled by IoT
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What used to Happen
LocalDatabase
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What Happens Today
The Internet
CloudDatabase
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Web Site - Density
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Smart Phone - Density
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Sensor- Density
Gartner – 4.9 billion devices
ABI Research – 16 billion devices
Datamation– 12.9 billion devices
Five Billion Sensors Deployed – Bosch SI
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• Ubiquitous, cheap sensors and controllers• Ubiquitous cheap bandwidth• HTTP/TCP/IP as a universal protocol• On demand storage at cents per GB
What enables the IoT?
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What is the next big thing?
The thing we have been doing badly for the last ten years
Why Now?
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What When WhereStore-Filter-Distribute
Millions of events per minuteFuture use cases
IoT Demands
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• Expensive Storage• Cheap Programmers• Tables of strings, ints, floats, dates• One big machine• A small number of connected users• A well defined unchanging set of requirements
These are IoT Anti-Patterns
Relational Database Assumptions
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MongoDB
• Dynamic Schemas
• Automatic Scaling
• Text Search
• Aggregation Framework and MapReduce
• Hadoop Integration
• GEO Search
• Full, Flexible Index Support and Rich Queries
• Built-In Replication for High Availability
• Advanced Security
• Large Media Storage with GridFS
• Pluggable Storage Engine
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For startups that want to be enterprises and enterprises that want to be startups.