Intro to NoSQL and MongoDB

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From A Morning with MongoDB - Milan on October 24, 2012.

Transcript of Intro to NoSQL and MongoDB

  • 1. Morning with MongoDB MilanWelcome!Wednesday, 24 October 12

2. Morning with MongoDB Bill Brooks - 10gen Norberto Leite - 10genRafaelle Cigni - Byte-CodeAnd our guests... thank youWednesday, 24 October 12 3. Agenda 09.00 - 09.30 - Reception and Breakfast 09.30 - 09.50 - Introduction to NoSQL / MongoDB 09.50 - 10:20 - MongoDB Fundamentals and Common Use Cases 10:20 - 11:00 - Case Studies: Leroy Merlin, Wellnet 11:00 - 11:20 - Coffee Break 11:20 - 11:40 - NoSQL / MongoDB in Italian market 11:40 - 12:10 - TechCorner: Nicola Iarocci 12:10 - 12:30 - MongoDB Roadmap and Futures 12:30 - 12:45 - 10gen Support and Services 12:45 - 13:00 - Roundtable Q&A 13:00 - 13:30 - NetworkingWednesday, 24 October 12 4. Database Evolution: Store Everything in RDBMsWednesday, 24 October 12 5. Specialized RDBMS for OLAP/BIWednesday, 24 October 12 6. MongoDB = Operational Big DataWednesday, 24 October 12 7. Increasing Complexity & Cost Decreasing ProductivityWednesday, 24 October 12 8. Forcing Affecting TraditionalRDBMS Agile Development Iterative ContinuousData Volume,Type & Use Trillions of records 100s of millions ofqueries per second Real-Time Analytics Unstructured / semi-structuredNew Hardware Architectures Commodity servers Cloud Computing Horizontal ScalingWednesday, 24 October 12 9. NoSQL Really Means...non-relational, next-generation operational datastores and databasesWednesday, 24 October 12 10. NoSQL Really Means...non-relational, next-generation operational datastores and databases... focus on the non-relational bit.Wednesday, 24 October 12 11. NOSQL Categories Key-ValueColumn Document GraphRedisCassandra MongoDBNeo4jWednesday, 24 October 12 12. Which one is the best?Wednesday, 24 October 12 13. Which one is the best?Wednesday, 24 October 12 14. Which one should I use for my use case?Wednesday, 24 October 12 15. memcached scalability & performancekey/value RDBMS depth of functionalityWednesday, 24 October 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 replicationWednesday, 24 October 12 17. Terminology RDBMS MongoDB Table Collection Row(s)JSON Document Index Index JoinEmbedding & Linking Partition Shard Partition Key Shard KeyWednesday, 24 October 12 18. RDBMS view of the dataWednesday, 24 October 12 19. Application view of the data { _id : ObjectId("4c4ba5c0672c685e5e8aabf3"), author : "Herg", 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, 24 October 12 20. Schemas in MongoDB Design documents that simply map to your application post = {author: "Herg",date: new Date(),text: "Destination Moon",tags: ["comic", "adventure"]} > db.posts.save(post)Wednesday, 24 October 12 21. What MongoDB solvesWednesday, 24 October 12