Downloaded 14 times
![@tgralltug@mongodb.com
Document Data Model
{
vehicle_id: ‘123abc’,
vehicle_driver: ‘Miller’,
base: ‘London’,
tracking: [
{ timestamp: ‘2014-01-17-12:00:00’,
location: [51.123,-0.232],
speed: 55, … },
{ timestamp: ‘2014-01-17-12:15:00’,
location: [51.224,-0.238],
speed: 5, … } }
}
Perfect fit for M2M apps
• Rich,multi-structured data
• Rapidly changing data
Agility and flexibility
• Dynamic schema evolves
• Easy to ingest new data
Intuitive data structure
• Developers are more
productive
• Less code](https://image.slidesharecdn.com/opensourceday-2014-iot-140519014722-phpapp02/75/Opensourceday-2014-iot-14-2048.jpg)
Uploaded byTugdual Grall
Opensourceday 2014-iot
This document discusses the growth of the Internet of Things and the need for databases that can handle large amounts of data from connected devices. It notes that by 2020, there will be over 50 billion connected devices generating huge amounts of diverse data. MongoDB is presented as a database that can meet the needs of IoT applications by allowing flexible schemas, easy ingestion of new data types, horizontal scaling through sharding, and high availability through replication. Specific use cases for MongoDB in IoT applications are also mentioned, including Bosch's IoT platform.
More Related Content
Similar to Opensourceday 2014-iot
![Vibe Coding vs. Spec-Driven Development [Free Meetup]](https://cdn.slidesharecdn.com/ss_thumbnails/vibecodingvsspecdrivendevelopment-251209105622-43f455e7-thumbnail.jpg?width=640&height=640&fit=bounds)
Opensourceday 2014-iot
- 1. Technical Evangelist,MongoDB @tgrall Tugdual “Tug”Grall @mongodb The Internet of Things Managing the Database Complexity
- 2.
- 3.
- 4. @tgralltug@mongodb.com The IoT isalready here ! World Population Connected Devices Connected Devices per Person 6.3 Billion 500 Million 0.08 2003 6.8 Billion 12.5 Billion 1.84 2010 7.2 Billion 25 Billion 3.47 2015 7.6 Billion 50 Billion 6.58 2020 More connected devices than people Source: Cisco
- 5. @tgralltug@mongodb.com Lots of sensors-> Lots of data
- 6.
- 7.
- 8.
- 9. @tgralltug@mongodb.com Data Growth 50-fold growthfrom the beginning of 2010 to the end of 2020 40,000 Exabytes = 40,000,000,000,000 Gigabytes ! = 5,200 Gigabytes for every man, woman and child in 2020
- 10. @tgralltug@mongodb.com Before you canprocess Big Data You must store it
- 11.
- 12. @tgralltug@mongodb.com MongoDB Vision To providethe best database for how we build and run apps today Build • New and complex data • Flexible • New languages • Faster development Run • Big Data scalability • Real-time • Commodity hardware • Cloud
- 13. @tgralltug@mongodb.com 7,000,000+ MongoDB Downloads 150,000+ Online Education Registrants 35,000+ MongoDB Management Service (MMS) Users 30,000+ MongoDB User Group Members 20,000+ MongoDB Days Attendees Global Community
- 14. @tgralltug@mongodb.com Document Data Model { vehicle_id:‘123abc’, vehicle_driver: ‘Miller’, base: ‘London’, tracking: [ { timestamp: ‘2014-01-17-12:00:00’, location: [51.123,-0.232], speed: 55, … }, { timestamp: ‘2014-01-17-12:15:00’, location: [51.224,-0.238], speed: 5, … } } } Perfect fit for M2M apps • Rich,multi-structured data • Rapidly changing data Agility and flexibility • Dynamic schema evolves • Easy to ingest new data Intuitive data structure • Developers are more productive • Less code
- 15.
- 16. @tgralltug@mongodb.com Horizontal Scalability: Sharding Shard1 Shard 2 Shard nShard 3 … Horizontally Scalable
- 17. @tgralltug@mongodb.com High Availability :Replication
- 18.
- 19. @tgralltug@mongodb.com Bosch Internet ofThings Platform
- 20. Questions? Stop by ourbooth to learn more about MongoDB
- 21.