Date post: | 27-Jul-2015 |
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MongoDB IOT City Tour – Paris
9th June 2015
MongoDB Speaker: Joe Drumgoole Director of Solutions Architecture, EMEA
Internet of Things – Storage Challenges
Joe Drumgoole Director of Solutions Architecture (EMEA) @jdrumgoole
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Sensor- Density
Gartner – 4.9 billion devices
ABI Research – 16 billion devices
Datamation– 12.9 billion devices
Five Billon 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 When Where Store-Filter-Distribute
Millions of events per minute Future use cases
IoT Demands
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Journey and Context
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Arrival Welcome / Greeting. Personal concierge (“whisk away”). Alert to staff member.
Departure Thanks. “by the way…”, RAOK.
Find / Browse Self-service on phone - “how can we
help today?”. “Let us come to you”. Insertion point for relevant
information, offer, or reminder. Here to pick something up? Timer for
being dealt with. Partner brands?
Here for Action Pick up. Queue jump. Get service with reduced friction, uncertainty.
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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 • Fortran and Cobol as coin of the realm
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