This document provides an agenda for a presentation on MongoDB. It introduces MongoDB as a popular open-source NoSQL database that uses a document-oriented data model with dynamic schemas like JSON. The presentation will cover NoSQL concepts, MongoDB fundamentals including BSON and examples, and include a hands-on section working with MongoDB. It is aimed at developers interested in learning about using MongoDB for data storage.

1. MongoDB

2. AGENDA
• Introduction
• NoSQL
• MongoDB
• Concepts/Fundamentals
• Working with MongoDB (hands-on)

3. WHO AM I?
• Software Developer/Architect/Consultant for 15 years.
• Working in the .NET stack (mainly in the web space) since 2001.
• Started getting interested in MongoDB about 2-3 years ago.
David Green
@davidjeet
about.me/davidgreen24

4. WHERE DOES THIS TALK FIT IN?

5. CLASSIC N-TIER ARCHITECTURE
User Interface (UI)
Business Layer/Service
You Are Here
Data Layer

6. AGENDA
• Introduction
• NoSQL
• MongoDB
• Concepts/Fundamentals
• Working with MongoDB (hands-on)

7. WHAT IS NOSQL?

8. All Databases
Relational
Databases
(Oracle, mySQL,
Postgres, SQL
Server)
NoSQL
(MongoDB, Redis,
Neo4J, Cassandra,
Hbase)

9. What is NoSQL?
Martin Fowler: Some characteristics are common amongst
these databases, but none are definitional.
Model not
using the SQL
language)
Designed to run
on large clusters
Not using the
relational model
Open source
No schema
enforced

10. NoSQL Database Families*
Key-value
Columnar
• HBase
• Cassandra
• Hypertable
Document
• MongoDB
• CouchDB
• RavenDB
•
•
•
•
Redis
Riak
Memcached
Voldemort
Graph
• Neo4J
• GiraffeDB
• InfiniteGraph
* “Seven Databases in Seven Weeks”, Eric Redmond and Jim R. Wilson

12. memCached
X
MongoDB
X
SQL Server
X

13. WHO USES THIS NOSQL STUFF?

15. AGENDA
• Introduction
• NoSQL
• MongoDB
• Concepts/Fundamentals
• Working with MongoDB (hands-on)

16. WHAT IS MONGODB?

17. WHAT IS MONGODB?
Open source
NoSQL
database
Documentoriented
Stores JSON-like
documents
(dynamic
schemas)
Includes a
strong query
language
(Javascript)
Powerful,
flexible indexing
(including
geospatial)
Sharding and
replication
Cross-Platform
(many drivers –
e.g. C#, Java,
Python, Ruby)

18. Why MongoDB?
1. Open Source - no licensing fees.
2. Relatively developer friendly and easy to ramp up.
3. Fast reads.

19. MongoDB Search Trends – Google

20. WHEN NOT TO USE MONGODB
When one or more of the following are
insurmountable even after modeling:
• Relationships/Join
• Transactions
• Write Safety
(High volume of writes/sec. scenarios)

21. AGENDA
• Introduction
• NoSQL
• MongoDB
• Concepts/Fundamentals
• Working with MongoDB (hands-on)

22. MONGODB FUNDAMENTALS

23. 10GEN QUICK REFERENCE CARD

24. MONGODB - JSON & BSON
 JSON
 Number
 String
 Boolean
 Array
 Object
 null
 BSON = JSON +

 DateTime
 Byte Arrays
 GeoSpatial

25. EXAMPLE BSON DOCUMENT
{
}
"_id" : ObjectId("5218282429f4a04648f64870"),
"Title": "What's new in MongoDB 2.4",
"Content" : "MongoDB 2.4 represents hundreds of
improvements and features driven by user
requests...",
"Author" : {
"FirstName" : "David",
"LastName" : "Green"
},
"CreatedOn" : ISODate("2013-07-19T01:30:52Z"),
"LastModifiedOn" : ISODate("2013-08-24T03:27:32Z"),
"Comments" : [],
"Tags" : [
”Databases",
”Features",
"NoSQL",
"MongoDB"
]

26. INSTALLING MONGO

27. MONGODB DATABASE INSTALL
Starting Up the Server

28. USING THE CONSOLE

29. AGENDA
• Introduction
• NoSQL
• MongoDB
• Concepts/Fundamentals
• Working with MongoDB (hands-on)

30. https://github.com/davidjeet/OpenDataDay/

31. THE END