Download as PDF, PPTX
![MongoDB Main Features
NON-RELATIONAL & SCHEMA-LESS
User Info
- name - creation
- nick - ...
- age
Hobbies
Addresses
db.user.findOne();
{
_id: objectId("535c56cbdf1790f4e1c80074"),
name: "César Trigo",
nick: "CesarTrigo",
age: 25,
creation: ISODate("2014-04-27T01:00:59.448Z"),
hobbies: ["coding", "football", "basket"],
address:[{
street: "Calle Serrano",
number: 127,
city: "Madrid"
},
{
street: "Avenida Diagonal",
city: "Barcelona"
}],
}
coding basket
address address
MongoDB Document
6.3
football](https://image.slidesharecdn.com/anintroductiontomongodb-140629072437-phpapp02/85/An-introduction-to-MongoDB-13-320.jpg)
![MongoDB Main Features
NON-RELATIONAL & SCHEMA-LESS
User Info
- name - creation
- nick - ...
- age
Hobbies
Addresses
db.user.findOne();
{
_id: objectId("535c56cbdf1790f4e1c80074"),
name: "César Trigo",
nick: "CesarTrigo",
age: 25,
creation: ISODate("2014-04-27T01:00:59.448Z"),
hobbies: ["coding", "football", "basket"],
address:[{
street: "Calle Serrano",
number: 127,
city: "Madrid"
},
{
street: "Avenida Diagonal",
city: "Barcelona"
}],
}
coding basket
address address
MongoDB Document
6.3
football](https://image.slidesharecdn.com/anintroductiontomongodb-140629072437-phpapp02/85/An-introduction-to-MongoDB-14-320.jpg)
![MongoDB Main Features
NON-RELATIONAL & SCHEMA-LESS
User Info
- name - creation
- nick - ...
- age
Hobbies
Addresses
db.user.findOne();
{
_id: objectId("535c56cbdf1790f4e1c80074"),
name: "César Trigo",
nick: "CesarTrigo",
age: 25,
creation: ISODate("2014-04-27T01:00:59.448Z"),
hobbies: ["coding", "football", "basketball"],
address:[{
street: "Calle Serrano",
number: 127,
city: "Madrid"
},
{
street: "Avenida Diagonal",
city: "Barcelona"
}],
}
coding footbal basket
address address
MongoDB Document
6.3](https://image.slidesharecdn.com/anintroductiontomongodb-140629072437-phpapp02/85/An-introduction-to-MongoDB-15-320.jpg)
![MongoDB Main Features
NON-RELATIONAL & SCHEMA-LESS
User Info
- name - creation
- nick - ...
- age
Hobbies
Addresses
db.user.findOne();
{
_id: objectId("535c56cbdf1790f4e1c80074"),
name: "César Trigo",
nick: "CesarTrigo",
age: 25,
creation: ISODate("2014-04-27T01:00:59.448Z"),
hobbies: ["coding", "football", "basket"],
address:[{
street: "Calle Serrano",
number: 127,
city: "Madrid"
},
{
street: "Avenida Diagonal",
city: "Barcelona"
}],
}
coding basket
address address
MongoDB Document
6.3
football](https://image.slidesharecdn.com/anintroductiontomongodb-140629072437-phpapp02/75/An-introduction-to-MongoDB-13-2048.jpg)
![MongoDB Main Features
NON-RELATIONAL & SCHEMA-LESS
User Info
- name - creation
- nick - ...
- age
Hobbies
Addresses
db.user.findOne();
{
_id: objectId("535c56cbdf1790f4e1c80074"),
name: "César Trigo",
nick: "CesarTrigo",
age: 25,
creation: ISODate("2014-04-27T01:00:59.448Z"),
hobbies: ["coding", "football", "basket"],
address:[{
street: "Calle Serrano",
number: 127,
city: "Madrid"
},
{
street: "Avenida Diagonal",
city: "Barcelona"
}],
}
coding basket
address address
MongoDB Document
6.3
football](https://image.slidesharecdn.com/anintroductiontomongodb-140629072437-phpapp02/75/An-introduction-to-MongoDB-14-2048.jpg)
![MongoDB Main Features
NON-RELATIONAL & SCHEMA-LESS
User Info
- name - creation
- nick - ...
- age
Hobbies
Addresses
db.user.findOne();
{
_id: objectId("535c56cbdf1790f4e1c80074"),
name: "César Trigo",
nick: "CesarTrigo",
age: 25,
creation: ISODate("2014-04-27T01:00:59.448Z"),
hobbies: ["coding", "football", "basketball"],
address:[{
street: "Calle Serrano",
number: 127,
city: "Madrid"
},
{
street: "Avenida Diagonal",
city: "Barcelona"
}],
}
coding footbal basket
address address
MongoDB Document
6.3](https://image.slidesharecdn.com/anintroductiontomongodb-140629072437-phpapp02/75/An-introduction-to-MongoDB-15-2048.jpg)
Uploaded byCésar Trigo
An introduction to MongoDB
The document provides an overview of MongoDB, a leading NoSQL database known for its agility, scalability, and high performance. It discusses key features such as being document-oriented, non-relational, and schema-less, along with its capabilities for data replication, sharding, and real-time aggregation. Additionally, it highlights the growing community and support for various programming languages through open source drivers.
In this document
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Introduction of César Trigo Esteban, Backend Development Director, and MongoDB contact information.
MongoDB is the leading NoSQL database facilitating agility and scalability in companies.
Information pointing to a webpage detailing who is currently using MongoDB.
Highlights the large MongoDB community, with over 7 million downloads and 30k user group members.
MongoDB is defined as a high-performance, open-source, document-oriented database that is non-relational and schema-less. Overview of MongoDB features like open-source support, document-oriented structure, scalability, high performance, and full-featured capabilities. Explains MongoDB's advanced features including geospatial indexing, real-time aggregation, and management services.
César Trigo Esteban's contact details and further MongoDB Spain resources for inquiries.
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An introduction to MongoDB
- 1. César Trigo Esteban BackendDevelopment Director Twitter: @CesarTrigoEs www.mongodbspain.com Twitter: @MongoDBSpain An Introduction to
- 2. 1 What isMongoDB OVERVIEW World Wide leading NoSQL Database that allows companies to be more agile and scalable 1. Improving the customer experience 2. Allowing schemes to change quickly to adapt easily to changes 3. Enabling Big-Data 4. Accelerating time to market 5. Reducing costs
- 3. 2 What isMongoDB WHO IS USING MONGODB More at: www.mongodb.com/customers
- 4. 3 What isMongoDB COMMUNITY 7Million + Downloads 200k + Education Registrations 30k + MongoDB User Group Members Fastest-growing community in Big Data
- 5. 4 What isMongoDB DEFINITION MongoDB is a ... … database ❖ Open source ❖ Document oriented ❖ Non-relational & Schema-less ❖ Scalable ❖ High performance ❖ Full featured
- 6. 4 What isMongoDB DEFINITION MongoDB is a ... … database ❖ Open source ❖ Document oriented ❖ Non-relational & Schema-less ❖ Scalable ❖ High performance ❖ Full featured
- 7. MongoDB Main Features OPENSOURCE Source and supported drivers are open source and hosted at Github: https://github.com/mongodb Supported drivers for most programming languages 4.1
- 8. What is MongoDB DEFINITION MongoDBis a ... … database ❖ Open source ❖ Document oriented ❖ Non-relational & Schema-less ❖ High performance ❖ Scalable ❖ Full featured 5
- 9. 5.1 MongoDB MainFeatures DOCUMENT ORIENTED ● JSON-like format (BSON) documents as independent units ● Makes it easier to distribute data across multiple servers ● Natural object mapping due to JSON Objects databasedatabase collectiontable documentrow SQL Term MongoDB Term SQL to MongoDB fieldcolumn embedding & linkingjoin
- 10. What is MongoDB DEFINITION MongoDBis a ... … database ❖ Open source ❖ Document oriented ❖ Non-relational & Schema-less ❖ Scalable ❖ High performance ❖ Full featured 6
- 11. MongoDB Main Features NON-RELATIONAL& SCHEMA-LESS User Hobbies Addresses Relational Databases (RDBMS) Data Model 6.1
- 12. MongoDB Main Features NON-RELATIONAL& SCHEMA-LESS User Hobbies Addresses With MongoDB we can store related content in the same document Non-Relational Data Model 6.2
- 13. MongoDB Main Features NON-RELATIONAL& SCHEMA-LESS User Info - name - creation - nick - ... - age Hobbies Addresses db.user.findOne(); { _id: objectId("535c56cbdf1790f4e1c80074"), name: "César Trigo", nick: "CesarTrigo", age: 25, creation: ISODate("2014-04-27T01:00:59.448Z"), hobbies: ["coding", "football", "basket"], address:[{ street: "Calle Serrano", number: 127, city: "Madrid" }, { street: "Avenida Diagonal", city: "Barcelona" }], } coding basket address address MongoDB Document 6.3 football
- 14. MongoDB Main Features NON-RELATIONAL& SCHEMA-LESS User Info - name - creation - nick - ... - age Hobbies Addresses db.user.findOne(); { _id: objectId("535c56cbdf1790f4e1c80074"), name: "César Trigo", nick: "CesarTrigo", age: 25, creation: ISODate("2014-04-27T01:00:59.448Z"), hobbies: ["coding", "football", "basket"], address:[{ street: "Calle Serrano", number: 127, city: "Madrid" }, { street: "Avenida Diagonal", city: "Barcelona" }], } coding basket address address MongoDB Document 6.3 football
- 15. MongoDB Main Features NON-RELATIONAL& SCHEMA-LESS User Info - name - creation - nick - ... - age Hobbies Addresses db.user.findOne(); { _id: objectId("535c56cbdf1790f4e1c80074"), name: "César Trigo", nick: "CesarTrigo", age: 25, creation: ISODate("2014-04-27T01:00:59.448Z"), hobbies: ["coding", "football", "basketball"], address:[{ street: "Calle Serrano", number: 127, city: "Madrid" }, { street: "Avenida Diagonal", city: "Barcelona" }], } coding footbal basket address address MongoDB Document 6.3
- 16. What is MongoDB DEFINITION MongoDBis a ... … database ❖ Open source ❖ Document oriented ❖ Non-relational & Schema-less ❖ Scalable ❖ High performance ❖ Full featured 7
- 17. MongoDB Main Features SCALABLE Replication:provides redundancy and high data availability Primary Secondary Secondary D R I V E R APP write read Asynchronous Replication ● Automated replication and failover ● Multi-datacenter support ● Data durability and consistency 7.1
- 18. MongoDB Main Features SCALABLE Sharding:Storing data records across multiple machines to meeting the demands of data growth Shard 1 Shard 2 Shard 3 Shard N ● Increase capacity as you grow reducing the amount of data that each server needs to store ● Reduces the number of operations each shard handles ● Automatic balancing of data ... 7.2
- 19. MongoDB Main Features SCALABLEINFRASTRUCTURE Application Driver Query Router Query Router Primary Secondary Secondary Primary Secondary Secondary Primary Secondary Secondary Primary Secondary Secondary Shard 1 Shard 2 Shard 3 Shard N ... ... 7.3
- 20. What is MongoDB DEFINITION MongoDBis a ... … database ❖ Open source ❖ Document oriented ❖ Non-relational & Schema-less ❖ Scalable ❖ High performance ❖ Full featured 8
- 21. MongoDB Main Features HIGHPERFORMANCE vs Better data locality In-memory caching Atomic operations 8.1 Relational MongoDB
- 22. MongoDB Main Features HIGHPERFORMANCE Driver Secondary Secondary Write Concern: customizable write concerns for Replica Sets Primary write replicate replicate response apply apply Write operation to a replica set Write to the primary and at least one secondary 8.2
- 23. What is MongoDB DEFINITION MongoDBis a ... … database ❖ Open source ❖ Document oriented ❖ Non-relational & Schema-less ❖ Scalable ❖ High performance ❖ Full featured 9
- 24. ● Geospatial indexesto support geographic data structures ● GeoJSON support ● 2d support for Flat / Euclidean plane distance calculation MongoDB Main Features FULL FEATURED Geospatial features 9.2
- 25. A solution forthe real World because the Earth is not flat! 2d Sphere Indexes: provides spherical geometry support for Earth-like sphere distance calculation MongoDB Main Features FULL FEATURED9.2
- 26. MongoDB Main Features FULLFEATURED9.3
- 27. MongoDB Main Features FULLFEATURED Real time Aggregation: Aggregations are operations that process data records and return computed results 9.3 Aggregation Pipelines The pipeline provides efficient data aggregation using native operations within MongoDB Map-Reduce Uses custom JavaScript functions to perform the map and reduce operations, as well as the optional finalize operation.
- 28. MongoDB Main Features FULLFEATURED MongoDB Management Service ● Server status monitoring ● Custom, metric-based alerting ● Fully managed backups ● Activity and logging viewers ● Automation coming soon 9.4
- 29. cesartrigo@gmail.com @CesarTrigoEs @MongoDBSpain MongoDB Spain www.mongodbspain.com www.gigigo.com César TrigoEsteban Backend Development Director