IOT Paris Seminar 2015 - intro by Yann Aubry
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IOT Paris Seminar 2015 - intro by Yann Aubry
- 1. MongoDB IOT City Tour – Paris 9th June 2015
- 2. 40 billion sensors. $19 trillion in revenue. You’re gonna need a bigger database! Internet of Things
- 4. The World Has Changed Data • Volume • Velocity • Variety Time • Iterative • Agile • Short Cycles Risk • Always On • Scale • Global Cost • Open-Source • Cloud • Commodity
- 8. MongoDB Use Cases Single View Internet of Things Mobile Real-Time Analytics Catalog Personalization Content Management
- 9. Fortune 500 & Global 500 20 of the Top Financial Services Institutions 10 of the Top Electronics Companies 10 of the Top Media and Entertainment Companies 10 of the Top Retailers 10 of the Top Telcos 10 of the Top Technology Companies 10 of the Top Healthcare Companies
- 10. Remerciements
- 11. For startups that want to be enterprises and enterprises that want to be startups.
- 12. 09:00 - 09:45 Arrivals, Registration 09:45 - 10:00 Welcome: Yann Aubry, Regional Director Southern EMEA, MongoDB 10:00 - 10:30 MongoDB Keynote: Enabling Transformation to the IOT, Jim Duffy, Director Enterprise Architecture 10:30 - 11:00 Case Study: IoT at Axa France, Laurent Nyffels, Architect SI, Axa France 11:00 - 11:15 Coffee and networking 11:15 - 11:45 Case Study: Orange France 11:45 - 12:15 Why Migrate from Relational Databases to MongoDB? Joe Drumgoole, Director Solutions Architecture 12:15 - 13:15 Lunch & networking 13:20 - 13:50 Case Study: Maxxing, 13:50 - 14:20 Live coding demonstration - IoT in Real-Time John Page, Senior Solutions Architect. MongoDB 14:20 - 14:45 Q&A session 14:45 - 15.15 Networking and Close Agenda
- 13. MongoDB IOT City Tour – Paris 9th June 2015
Hinweis der Redaktion
- Pourquoi l’IOT represente un challenge aussi important aujourd’hui les enterprises? * Les analysts expect that 40 billion sensors will be embedded in everyday objects by 2020. Si je prends l’example de l’industrie Auto / Current generations of vehicles generate 25 GB of data per hour. The next generation will generate 250 GB per hour. * Les Analyst estime 19 000 Milliiars le marché. Ces chiffres et l’IOT sont tres representatifs des nouveaux challenges aujourd’hui autour de la gerstion de la Données.
- Pourquoi l’IOT represente un challenge aussi important aujourd’hui les enterprises? * Les analysts expect that 40 billion sensors will be embedded in everyday objects by 2020. Si je prends l’example de l’industrie Auto / Current generations of vehicles generate 25 GB of data per hour. The next generation will generate 250 GB per hour. * Les Analyst estime 19 000 Milliiars le marché. Ces chiffres et l’IOT sont tres representatifs des nouveaux challenges aujourd’hui autour de la gerstion de la Données.
- Data 90% data created in last 2 years 80% enterprise data is unstructured Unstructured data growing 2X rate of structured data Time Development methods shifted from waterfall (12-24 months) to iterative Leading edge companies like Facebook + Etsy shipping code multiple times a day Risk User bases shifted from internal (thousands) to external (millions) Can’t go down All across the globe Cost Shift to open-source business models to pay for value over time Ability to leverage cloud and commodity architectures to lower infrastructure costs We built MongoDB to address the way the world is changing…
- Looking at Looking at the other technologies in the market… Relational databases laid the foundation for what you’d want out of your database Rich and fast access to the data, using an expressive query language and secondary indexes Strong consistency, so you know you’re always getting the most up to date version of the data But they weren’t built for the world we just talked about Built for waterfall dev cycles, structured data Built for internal users, not large numbers of users all across the global (From vendors who want large license fees upfront) --> So what they have in data access and consistency, they lack in flexibility, scalability and performance
- NoSQL databases have tried to address the new world… They all have relatively flexible data models They were all built to scale out horizontally And they were built for performance But in doing so, they have sacrificed the core database capabilities you’ve come to expect and rely on in order to build fully functional apps, like rich querying, secondary indexes and strong consistency
- MongoDB dans ce paysage a un positionnement Unique. MongoDB was built to address the way the world has changed while preserving the core database capabilities required to build functional apps MongoDB is the only database that harnesses the innovations of NoSQL and maintains the foundation of relational databases
- Que fond nos clients avec MongoDB Single View -> je pourrais ajouter Bouygues Tel IOT -> AXA et Orange vous en parlerons. Personalization -> Je pourrias citer un Grand nom du Luxe Francais. Mobile -> Axa Soon. citer un Grand nom du Luxe Francais.
- Plus Globalement. Mongodb c’est aujourd’hui +2000 clients, representé dans les differents segments Retail, FSI, Telco Plus de 750 Partenaires Technologies tel que : Amazon, Red hat, IBM Infortica, Tableau Software… 300 000 Personnes on suivits nos formations. 13 Bureau a travers le Monde…
- Pourquoi l’IOT represente un challenge aussi important aujourd’hui les enterprises? * Les analysts expect that 40 billion sensors will be embedded in everyday objects by 2020. Si je prends l’example de l’industrie Auto / Current generations of vehicles generate 25 GB of data per hour. The next generation will generate 250 GB per hour. * Les Analyst estime 19 000 Milliiars le marché. Ces chiffres et l’IOT sont tres representatifs des nouveaux challenges aujourd’hui autour de la gerstion de la Données.