intro to nosql and mongodb

Morning with MongoDBMilan

Welcome!

Wednesday, 24 October 12

Morning with MongoDBBill Brooks - 10gen

Norberto Leite - 10genRafaelle Cigni - Byte-Code

And our guests... thank you

Wednesday, 24 October 12

Agenda

09.00 - 09.30 - Reception and Breakfast09.30 - 09.50 - Introduction to NoSQL / MongoDB09.50 - 10:20 - MongoDB Fundamentals and Common Use Cases10:20 - 11:00 - Case Studies: Leroy Merlin, Wellnet11:00 - 11:20 - Coffee Break11:20 - 11:40 - NoSQL / MongoDB in Italian market11:40 - 12:10 - TechCorner: Nicola Iarocci12:10 - 12:30 - MongoDB Roadmap and Futures12:30 - 12:45 - 10gen Support and Services12:45 - 13:00 - Roundtable Q&A13:00 - 13:30 - Networking

Wednesday, 24 October 12

Database Evolution:Store Everything in RDBMs

Wednesday, 24 October 12

Specialized RDBMS for OLAP/BI

Wednesday, 24 October 12

MongoDB = Operational 'Big Data'

Wednesday, 24 October 12

Increasing Complexity & CostDecreasing Productivity

Wednesday, 24 October 12

Data Volume, Type & Use

Agile Development

New Hardware Architectures• Commodity servers• Cloud Computing• Horizontal Scaling

• Trillions of records• 100’s of millions of queries per second

• Real-Time Analytics• Unstructured / semi-structured

• Iterative• Continuous

Forcing Affecting Traditional RDBMS

Wednesday, 24 October 12

NoSQL Really Means...non-relational, next-generation

operational datastores and databases

Wednesday, 24 October 12

NoSQL Really Means...non-relational, next-generation

operational datastores and databases... focus on the “non-relational” bit.

Wednesday, 24 October 12

ColumnKey-Value Document Graph

Cassandra MongoDBRedis Neo4j

NOSQL Categories

Wednesday, 24 October 12

Which one is the best?

Wednesday, 24 October 12

Which one is the best?

Wednesday, 24 October 12

Which one should I use for my use case?

Wednesday, 24 October 12

depth of functionality

scal

abili

ty &

per

form

ance •memcached

•key/value

• RDBMS

Wednesday, 24 October 12

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, 24 October 12

Terminology

RDBMS MongoDBTable CollectionRow(s) JSON DocumentIndex IndexJoin Embedding & LinkingPartition ShardPartition Key Shard Key

Wednesday, 24 October 12

RDBMS view of the data

Wednesday, 24 October 12

{ _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 }

Application view of the data

Wednesday, 24 October 12

Schemas in MongoDB

Design documents that simply map to your application

post = {author: "Hergé", date: new Date(), text: "Destination Moon", tags: ["comic", "adventure"]}

> db.posts.save(post)

Wednesday, 24 October 12

What MongoDB solves

Wednesday, 24 October 12