![RDBMS MongoDB
{
_id : ObjectId("4c4ba5e5e8aabf3"),
employee_name: "Dunham, Justin",
department : "Marketing",
title : "Product Manager, Web",
report_up: "Neray, Graham",
pay_band: “C",
benefits : [
{ type : "Health",
plan : "PPO Plus" },
{ type : "Dental",
plan : "Standard" }
]
}
The Power of the Document Model](https://image.slidesharecdn.com/howtheitalianmarketisembracingalternativestorelationaldatabases-160115111623/85/How-the-Italian-Market-is-Embracing-Alternatives-to-Relational-Databases-23-320.jpg)
How the Italian Market is Embracing Alternatives to Relational Databases
- 1. Internet of Things Valerio Bianchi Milan, January 14th, 2016
- 3. • 1977 – Larry Ellison, Bob Miner & Ed Oates create Software Development Laboratories • 1978 – Oracle born • 1979 – SDL rename themselves Relational Systems Inc. (RSI) and move to California. First commercial relational database released First commercial relational database released
- 10. 1981
- 12. La IBM produce i primi floppy disk nel 1970
- 13. Today
- 14. DIGITAL ECONOMY
- 15. DEVELOPMENT • Iterative • Short development cycles • New workloads VOLUME OF DATA • Petabytes of data • Trillions of records • Millions of queries per second DATA TYPES • Unstructured data • Semi-structured data • Polymorphic data NEW ARCHITECTURES • Horizontal scaling • Commodity servers • Cloud computing
- 16. 90% of the data has been created in the last two years 80% of enterprise data are unstructured 2x Unstructured data is growing at a double rate Millions of users on global scale New Pay- for-value models Agile vs. Waterfall
- 17. Relational DBMS
- 18. Mental Model
- 19. Relational Model
- 20. Scale up Costs up Performance Down Scalability and Performance
- 22. Document Model
- 23. RDBMS MongoDB { _id : ObjectId("4c4ba5e5e8aabf3"), employee_name: "Dunham, Justin", department : "Marketing", title : "Product Manager, Web", report_up: "Neray, Graham", pay_band: “C", benefits : [ { type : "Health", plan : "PPO Plus" }, { type : "Dental", plan : "Standard" } ] } The Power of the Document Model
- 24. 01 10 JSON Document Model Designed to adapt to changes
- 25. Scalability, Performance and Cost … Scale-out … Linear cost Linear Performance Commodity or in Cloud
- 26. Nexus Architecture Relational NoSQL Expressive Query Language Strong Consistency Secondary Indexes Flexibility Scalability Performance Nexus ArchitectureRelational NoSQL Expressive Query Language Strong Consistency Secondary Indexes Flexibility Scalability Performance
- 27. Some Examples
- 28. The massive volume and increasingly unstructured nature of IoT data has put new demands on Bosch SI's entire technology stack, especially the underlying database Rigid RDBMS data models lack the flexibility, scale and real-time analytics needed to quickly capture, share, process and analyze IoT data. PROBLEM The Bosch IoT Suite and the integrated database from MongoDB creates services that gather data and deliver immediate insight. The Bosch IoT Suite collects data from individual sensors and equipment. MongoDB stores, manages and analyzes all of this event data in real-time. MongoDB also stores business rules that trigger alarms and notifications. SOLUTION Allows limitless use cases: to drive innovative apps in every industry. It can improve the retail shopping experience with in- store maps and personalized notifications. Create safer working conditions in manufacturing environments. Trace agriculture thru the food chain to support farm-to-table initiatives. RESULTS Bringing the power of big data to a new range of Industrial Internet applications
- 29. Need to create innovative apps that support corporate mission to protect customers, improve brand perception, and reduce churn Poor view of customers’ behavior at home, which can be used to provide more compelling pricing and better products Unable to offer a new experience around domestic connected objects PROBLEM Build a scalable mobile app allowing customers to integrate domestic connected objects to detect and prevent risk Leverages flexible data model to support specific APIs with third parties: Philips Hue light bulbs, NEST smoke detection, MyFox cameras, and more in fast evolving market SOLUTION Prototype built in 2 months; deployed in production in 4 months Able to prevent domestic risks and assist customers in case of incidents. Proactive alerting to customers minimizes their risk, creates customer loyalty Great user experience improves perception of AXA brand RESULTS Risk Mgt. for the Connected Home Delivering on customer protection mission with MongoDB
- 31. { name : "Valerio Bianchi", title : "Enterprise Account Executive, Italy", phone : "+39-334-6403398", location : "Milan, Italy", twitter : "@MongoDB", facebook : "MongoDB” }
Editor's Notes
- #27: 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