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Getting Started with MongoDB
                       Max Schireson
                       President, 10gen
                       max@10gen.com
                       @mschireson



                                      1
You are using, or want to use, MongoDB
•Benefits
•Use cases
•Stakeholder buy-in


       Mongo DB is enterprise-ready
•Execution
•Operations
•Economics


                Why 10gen?
•People
•Company
•Future

                                           2
Your First MongoDB
             Project
                       3
4
Application

 Document-                                       High
  Oriented                                   Performance
{ author: “roger”,                              Indexes
  date: new Date(),
  text: “Spirited Away”,                          RAM
  tags: [“Tezuka”, “Manga”]}




                                                  …

                   Horizontally Scalable
                                                           5
Operational
Content Management                                Product Data Mgt
                           Intelligence




                                      High Volume Data
           User Data Management
                                            Feeds




                                                                     6
#2 on Indeed’s Fastest Growing
                                     Jaspersoft BigData Index
             Jobs
                                                    Demand for
                                                    MongoDB, the
                                                    document-oriented
                                                    NoSQL database, saw
                                                    the biggest spike
                                                    with over 200%
                                                    growth in 2011.




                                 451 Group“MongoDB increasing its
      Google Searches                      dominance”




                                                                          7
“NoSQL databases are proving valuable for
scaling out cloud and on-premises uses of
numerous content types…document-oriented
open-source solutions are emerging as one of the
leading choices.”



“MongoDB…is way ahead of all the others.”



                                                   8
• Reassuring the Ops Team
• Reassuring the Business Team

• Start with low stakes – learn to trust
• Grow towards a mission-critical use case




         Let us help you  info@10gen.com

                                             9
Execution

            10
Iteration


            11
Tables                     Documents

         {
             _id : ObjectId("4c4ba5c0672c685e5e8aabf3"),
             author : "roger",

           date : "Sat Jul 24 2010 19:47:11 GMT-0700
         (PDT)",

             text : "Spirited Away",

             tags : [ "Tezuka", "Manga" ],

             comments : [
                { author : ’’ Fred ",
                  date : "Sat Jul 24 2010 20:51:03",
                  text : "Best Movie Ever” } ,
                { author : ’’ Bill ",
                  date : "Sat Jul 24 2010 21:13:23",
                  text : ” No Way !! ” }
                   ]
         }

                                                           12
13
Operations

             14
Replica Sets

•   Automatic failover               Write
•   Data center outages                       Primary

•   Upgrading DB versions            Read


                            Driver
                                             Secondary
•   Upgrade app versions
•   Change/evolve                            Secondary
    schema/representation
                            Asynchronous     Automatic Leader
                             Replication         Election

                                                                15
• Data durability
   – Journal
   – Replicated Writes


• Data consistency
   – Single Master
   – Shard to Scale


• You are in control

                         16
Sharding
• Scale out (not up)
• Millions of IOPS     Key Range
                         0..30
                                   Key Range
                                     31..60
                                                Key Range
                                                  61..90

• Petabytes of data     Primary      Primary     Primary

• Commodity
  hardware
                       Secondary    Secondary   Secondary




• Add capacity as      Secondary    Secondary   Secondary



  needed
                                                            17
Economics
            18
• Developer/Ops Savings
  – Less code
  – More productive coding
  – Easier to maintain
• Hardware Savings
  – Commodity servers
  – Internal storage (no SAN)                      RDBMS
  – Scale out (not up)
• Software & Support Savings
  – No upfront license – pay for value over time
  – Cost visibility for usage growth
                                                           19
Why 10gen
            20
• Community and commercial
• Dedicated support staff across the globe
   –   NY
   –   CA
   –   Dublin
   –   London
   –   Australia




                                             21
• 10gen is backed by leading
  venture capital firms who
  invested in established
  leaders like Oracle, Cisco
  and Apple as well as rapidly
  growing internet companies
  like Zynga and Twitter.

• $74M in total funding
   – $42M round in May 2012


                                 22
• MongoDB 2.2
  –   Improved concurrency
  –   Tag-aware sharding
  –   Aggregation framework
  –   TTL collections


• Free Online MongoDB
  Training
  – Develop
  – Deploy
  – Classes start Oct. 2012
                              23
Q&A
      24
What’s Next for Today
                        25
MongoDB Use Case: Apollo Group
Brig Lamoreaux, Senior Software Engineer, Apollo Group

                                         Session times:
                                              11:30 AM
                                               1:30 PM

                                                          26
27

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Getting Started with MongoDB at Oracle Open World 2012

  • 1. Getting Started with MongoDB Max Schireson President, 10gen max@10gen.com @mschireson 1
  • 2. You are using, or want to use, MongoDB •Benefits •Use cases •Stakeholder buy-in Mongo DB is enterprise-ready •Execution •Operations •Economics Why 10gen? •People •Company •Future 2
  • 3. Your First MongoDB Project 3
  • 4. 4
  • 5. Application Document- High Oriented Performance { author: “roger”, Indexes date: new Date(), text: “Spirited Away”, RAM tags: [“Tezuka”, “Manga”]} … Horizontally Scalable 5
  • 6. Operational Content Management Product Data Mgt Intelligence High Volume Data User Data Management Feeds 6
  • 7. #2 on Indeed’s Fastest Growing Jaspersoft BigData Index Jobs Demand for MongoDB, the document-oriented NoSQL database, saw the biggest spike with over 200% growth in 2011. 451 Group“MongoDB increasing its Google Searches dominance” 7
  • 8. “NoSQL databases are proving valuable for scaling out cloud and on-premises uses of numerous content types…document-oriented open-source solutions are emerging as one of the leading choices.” “MongoDB…is way ahead of all the others.” 8
  • 9. • Reassuring the Ops Team • Reassuring the Business Team • Start with low stakes – learn to trust • Grow towards a mission-critical use case Let us help you  info@10gen.com 9
  • 10. Execution 10
  • 11. Iteration 11
  • 12. Tables Documents { _id : ObjectId("4c4ba5c0672c685e5e8aabf3"), author : "roger", date : "Sat Jul 24 2010 19:47:11 GMT-0700 (PDT)", text : "Spirited Away", tags : [ "Tezuka", "Manga" ], comments : [ { author : ’’ Fred ", date : "Sat Jul 24 2010 20:51:03", text : "Best Movie Ever” } , { author : ’’ Bill ", date : "Sat Jul 24 2010 21:13:23", text : ” No Way !! ” } ] } 12
  • 13. 13
  • 15. Replica Sets • Automatic failover Write • Data center outages Primary • Upgrading DB versions Read Driver Secondary • Upgrade app versions • Change/evolve Secondary schema/representation Asynchronous Automatic Leader Replication Election 15
  • 16. • Data durability – Journal – Replicated Writes • Data consistency – Single Master – Shard to Scale • You are in control 16
  • 17. Sharding • Scale out (not up) • Millions of IOPS Key Range 0..30 Key Range 31..60 Key Range 61..90 • Petabytes of data Primary Primary Primary • Commodity hardware Secondary Secondary Secondary • Add capacity as Secondary Secondary Secondary needed 17
  • 18. Economics 18
  • 19. • Developer/Ops Savings – Less code – More productive coding – Easier to maintain • Hardware Savings – Commodity servers – Internal storage (no SAN) RDBMS – Scale out (not up) • Software & Support Savings – No upfront license – pay for value over time – Cost visibility for usage growth 19
  • 20. Why 10gen 20
  • 21. • Community and commercial • Dedicated support staff across the globe – NY – CA – Dublin – London – Australia 21
  • 22. • 10gen is backed by leading venture capital firms who invested in established leaders like Oracle, Cisco and Apple as well as rapidly growing internet companies like Zynga and Twitter. • $74M in total funding – $42M round in May 2012 22
  • 23. • MongoDB 2.2 – Improved concurrency – Tag-aware sharding – Aggregation framework – TTL collections • Free Online MongoDB Training – Develop – Deploy – Classes start Oct. 2012 23
  • 24. Q&A 24
  • 25. What’s Next for Today 25
  • 26. MongoDB Use Case: Apollo Group Brig Lamoreaux, Senior Software Engineer, Apollo Group Session times: 11:30 AM 1:30 PM 26
  • 27. 27