Bill Brooks, Territory Manager, 10gen (the MongoDB company)

1. Morning with MongoDB - Paris
Bienvenue!
Wednesday, 7 November 12

2. The Presenters
•10gen
•Bill Brooks, Territory Manager
•Matt Asay, VP Strategy
•Norberto Leite, Senior Solutions Architect
•Matt Bates, Solutions Architect
•James Chesters, Community Manager
•Our guest speakers... thanks...
•Julien Simon, Criteo
•Sandrine Crozat, Le Figaro
•Mathias Kluba, Fast Connect
•Arnoud Huon, OCTO
•Charles Blonde, Xebia
•Nagi Letaifa, Zenika
Wednesday, 7 November 12

3. Agenda
• Introduction to NoSQL/MongoDB
• Making BigData Small
• MongoDB Technical Overview / Roadmap
• Coffee Break
• Customer Presentations
• Partner Presentations
• 10gen (the MongoDB company)
• Roundtable Q&A
• Networking
Wednesday, 7 November 12

4. Database Evolution:
Store Everything in RDBMs
Wednesday, 7 November 12

5. Specialized RDBMS for OLAP/BI
Wednesday, 7 November 12

6. MongoDB = Operational 'Big Data'
Wednesday, 7 November 12

7. Increasing Complexity & Cost
Decreasing Productivity
Wednesday, 7 November 12

8. Forcing Affecting Traditional
RDBMS
Agile Development
• Iterative
• Continuous
Data Volume,
Type & Use
• Trillions of records
• 100’s of millions of
queries per second
• Real-Time Analytics
• Unstructured / semi-
structured
New Hardware Architectures
• Commodity servers
• Cloud Computing
• Horizontal Scaling
Wednesday, 7 November 12

9. NoSQL Really Means...
non-relational, next-generation
operational datastores and databases
Wednesday, 7 November 12

10. NoSQL Really Means...
non-relational, next-generation
operational datastores and databases
... focus on the “non-relational” bit.
Wednesday, 7 November 12

11. NOSQL Categories
Key-Value Column Document Graph
Redis Cassandra MongoDB Neo4j
Wednesday, 7 November 12

12. Which one is the best?
Wednesday, 7 November 12

13. Which one is the best?
Wednesday, 7 November 12

14. Which one should I use for my use
case?
Wednesday, 7 November 12

15. • memcached
scalability & performance
•key/value
• RDBMS
depth of functionality
Wednesday, 7 November 12

16. Why use MongoDB?
• Easy to start
• Open source
• Drivers in every major language
• Easy to develop
• Schemaless document model
• Flexible query language
• Secondary indexes
• Easy to scale
• Built in sharding
• Asynchronous replication
Wednesday, 7 November 12

17. Terminology
RDBMS MongoDB
Table Collection
Row(s) JSON Document
Index Index
Join Embedding & Linking
Partition Shard
Partition Key Shard Key
Wednesday, 7 November 12

18. RDBMS view of the data
Wednesday, 7 November 12

19. Application view of the data
{ _id : ObjectId("4c4ba5c0672c685e5e8aabf3"),
author : "Hergé",
date : "Sat Jul 24 2010 19:47:11 GMT-0700 (PDT)",
text : "Destination Moon",
tags : [ "comic", "adventure" ],
comments : [
{
author : "Kyle",
date : "Sat Jul 24 2010 20:51:03 GMT-0700 (PDT)",
text : "great book"
}
],
comments_count: 1
}
Wednesday, 7 November 12

20. What MongoDB solves
Wednesday, 7 November 12

21. Morning with MongoDB
Paris
Wednesday, 7 November 12