morning with mongodb paris 2012 - accueil et introductions

Morning with MongoDB - Paris

Bienvenue!

Wednesday, 7 November 12

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


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


Database Evolution:Store Everything in RDBMs


Specialized RDBMS for OLAP/BI


MongoDB = Operational 'Big Data'


Increasing Complexity & CostDecreasing Productivity


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


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

operational datastores and databases


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

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


ColumnKey-Value Document Graph

Cassandra MongoDBRedis Neo4j

NOSQL Categories


Which one is the best?


Which one should I use for my use case?


depth of functionality

scal

abili

ty &

per

form

ance •memcached

•key/value

• RDBMS


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


Terminology

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


RDBMS 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 }

Application view of the data


What MongoDB solves


Morning with MongoDBParis


morning with mongodb paris 2012 - accueil et introductions

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