SlideShare une entreprise Scribd logo
1  sur  24
#MongoDBTokyo




Welcome
Alvin Richards
Technical Director, 10gen
Sessions this Morning
9:20 – 10:00   Schema Design             Derick Rethans   10gen

10:05 –        Deployment                Alvin Richards   10gen
10:45
10:45 –        Refreshments
11:00
11:00 – 11:45 Replication                Steve Francia    10gen

11:45 –        Amazon Data Services      Mr. Matsuo       Amazon
12:15          and MongoDB

12:20 –        Normura Research Institue Fujisaki         Normura
12:50                                                     Research Institue
12:50 – 1:30   Lunch
Sessions this Afternoon
1:30 – 2:00 RedHat Japan and MongoDB   Mr. Nakai      Red Hat

2:05 – 2:35 A-SaaS                     Mr. Ishikawa   A-SaaS

2:35 – 3:15 MongoDB and Hadoop         Steve Francia 10gen

3:15 – 3:30 Refreshments

3:30 – 4:10 Sharding                   Derick         10gen
                                       Rethans
4:15 – 4:45 Rakuten and MongoDB        Mr. Sasaki     Rakuten

4:45 – 5:15 Roadmap                    Alvin          10gen
                                       Richards
5:15 – 7:00 After Party!
10gen and MongoDB
Overview
10gen Overview



                 10gen is the
                 company behind
                 MongoDB –
                 the leading
                 NoSQL
                 database
10gen Overview




                 170+
                 employees
10gen Overview




                 500+ customers
10gen Overview




                 $73M
                 in funding from
                 top investors
10gen Overview



                 Offices in
                 New York,
                 Palo Alto,
                 London,
                 Dublin,
                 Barcelona and
                 Sydney
Leading Organizations Rely on MongoDB
Global MongoDB Community
41,000+
Monthly Unique Downloads

24,000+
Online Education Registrants

12,000+
MongoDB User Group Members

10,000+
Annual MongoDB Days Attendees
Relational Database
Challenges
Relational Database Challenges
Data Types               Agile Development
• Unstructured data      • Iterative
• Semi-structured        • Short development
  data                     cycles
• Polymorphic data       • New workloads




Volume of Data           New Architectures
• Petabytes of data      • Horizontal scaling
• Trillions of records   • Commodity
                           servers
• Tens of millions of
  queries per second     • Cloud computing
MongoDB Solution
MongoDB Solution
Document-Oriented Database




    Agile          Scalable   Best TCO
Agile
RDBMS   MongoDB


          {
              _id : ObjectId("4c4ba5e5e8aabf3"),
              employee_name: "Dunham, Justin",
              department : "Marketing",
              title : "Product Manager, Web",
              report_up: "Neray, Graham",
              pay_band: “C",
              benefits : [
                     {   type :   "Health",
                         plan : "PPO Plus" },
                     {   type :    "Dental",
                         plan : "Standard" }
                          ]
          }
Scalable
Key Features

 JSON Data Model with           Auto-Sharding for
 Dynamic Schema                 Horizontal Scalability

                                Rich, Document-Based
 Flexible, Full Index Support
                                Queries

 Built-In Replication and
                                Fast, In-Place Updates
 High Availability

 Aggregation Framework and
                                GridFS for Large File Storage
 Map/Reduce
MongoDB Monitoring Service
(MMS)


• Free, cloud-based
 service for
 monitoring and alerts
• 10,000+ users
Best Total Cost of Ownership
 (TCO)
Developer and Ops Savings
• Less code
• More productive development
• Easier to maintain

Hardware Savings
• Commodity servers
• Internal storage (no SAN)
• Scale out, not up

Software and Support Savings
• No upfront license – pay for value   DB Alternative
  over time
• Cost visibility for usage growth
10gen Products and Services
    Subscriptions
    Professional Support, Subscriber Edition and Commercial License


    Consulting
    Expert Resources for All Phases of MongoDB Implementations



    Training
    Online and In-Person, for Developers and Administrators
http://education.10gen.com
For More Information
Resource                User Data Management
                        Location

MongoDB Downloads       www.mongodb.org/download

Free Online Training    education.10gen.com

Webinars and Events     www.10gen.com/events

White Papers            www.10gen.com/white-papers

Customer Case Studies   www.10gen.com/customers

Presentations           www.10gen.com/presentations

Documentation           docs.mongodb.org

Additional Info         info@10gen.com
Welcome to MongoDB Tokyo 2012

Contenu connexe

Tendances

Securing Your MongoDB Deployment
Securing Your MongoDB DeploymentSecuring Your MongoDB Deployment
Securing Your MongoDB DeploymentMongoDB
 
MongoDB Administration 101
MongoDB Administration 101MongoDB Administration 101
MongoDB Administration 101MongoDB
 
GridFS: The Perfect Solution for Media Storage
GridFS: The Perfect Solution for Media StorageGridFS: The Perfect Solution for Media Storage
GridFS: The Perfect Solution for Media StorageMongoDB
 
When to Use MongoDB
When to Use MongoDBWhen to Use MongoDB
When to Use MongoDBMongoDB
 
When to Use MongoDB...and When You Should Not...
When to Use MongoDB...and When You Should Not...When to Use MongoDB...and When You Should Not...
When to Use MongoDB...and When You Should Not...MongoDB
 
Building a Scalable and Modern Infrastructure at CARFAX
Building a Scalable and Modern Infrastructure at CARFAXBuilding a Scalable and Modern Infrastructure at CARFAX
Building a Scalable and Modern Infrastructure at CARFAXMongoDB
 
Migrating from RDBMS to MongoDB
Migrating from RDBMS to MongoDBMigrating from RDBMS to MongoDB
Migrating from RDBMS to MongoDBMongoDB
 
Practical Design Patterns for Building Applications Resilient to Infrastructu...
Practical Design Patterns for Building Applications Resilient to Infrastructu...Practical Design Patterns for Building Applications Resilient to Infrastructu...
Practical Design Patterns for Building Applications Resilient to Infrastructu...MongoDB
 
Intro to NoSQL and MongoDB
Intro to NoSQL and MongoDBIntro to NoSQL and MongoDB
Intro to NoSQL and MongoDBDATAVERSITY
 
Mongo DB: Operational Big Data Database
Mongo DB: Operational Big Data DatabaseMongo DB: Operational Big Data Database
Mongo DB: Operational Big Data DatabaseXpand IT
 
MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...
MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...
MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...Prasoon Kumar
 
MongoDB San Francisco 2013: Storing eBay's Media Metadata on MongoDB present...
MongoDB San Francisco 2013: Storing eBay's Media Metadata on MongoDB  present...MongoDB San Francisco 2013: Storing eBay's Media Metadata on MongoDB  present...
MongoDB San Francisco 2013: Storing eBay's Media Metadata on MongoDB present...MongoDB
 
An Introduction to MongoDB Compass
An Introduction to MongoDB CompassAn Introduction to MongoDB Compass
An Introduction to MongoDB CompassMongoDB
 
Webinar: A Total Cost of Ownership Analysis for MongoDB
Webinar: A Total Cost of Ownership Analysis for MongoDBWebinar: A Total Cost of Ownership Analysis for MongoDB
Webinar: A Total Cost of Ownership Analysis for MongoDBMongoDB
 
Designing Cloud Products
Designing Cloud Products Designing Cloud Products
Designing Cloud Products MongoDB
 
Bridging Your Business Across the Enterprise and Cloud with MongoDB and NetApp
Bridging Your Business Across the Enterprise and Cloud with MongoDB and NetAppBridging Your Business Across the Enterprise and Cloud with MongoDB and NetApp
Bridging Your Business Across the Enterprise and Cloud with MongoDB and NetAppMongoDB
 
Using Compass to Diagnose Performance Problems in Your Cluster
Using Compass to Diagnose Performance Problems in Your ClusterUsing Compass to Diagnose Performance Problems in Your Cluster
Using Compass to Diagnose Performance Problems in Your ClusterMongoDB
 
An Enterprise Architect's View of MongoDB
An Enterprise Architect's View of MongoDBAn Enterprise Architect's View of MongoDB
An Enterprise Architect's View of MongoDBMongoDB
 

Tendances (20)

Securing Your MongoDB Deployment
Securing Your MongoDB DeploymentSecuring Your MongoDB Deployment
Securing Your MongoDB Deployment
 
MongoDB Administration 101
MongoDB Administration 101MongoDB Administration 101
MongoDB Administration 101
 
GridFS: The Perfect Solution for Media Storage
GridFS: The Perfect Solution for Media StorageGridFS: The Perfect Solution for Media Storage
GridFS: The Perfect Solution for Media Storage
 
Introduction to mongoDB
Introduction to mongoDBIntroduction to mongoDB
Introduction to mongoDB
 
When to Use MongoDB
When to Use MongoDBWhen to Use MongoDB
When to Use MongoDB
 
When to Use MongoDB...and When You Should Not...
When to Use MongoDB...and When You Should Not...When to Use MongoDB...and When You Should Not...
When to Use MongoDB...and When You Should Not...
 
Building a Scalable and Modern Infrastructure at CARFAX
Building a Scalable and Modern Infrastructure at CARFAXBuilding a Scalable and Modern Infrastructure at CARFAX
Building a Scalable and Modern Infrastructure at CARFAX
 
NoSQL benchmarking
NoSQL benchmarkingNoSQL benchmarking
NoSQL benchmarking
 
Migrating from RDBMS to MongoDB
Migrating from RDBMS to MongoDBMigrating from RDBMS to MongoDB
Migrating from RDBMS to MongoDB
 
Practical Design Patterns for Building Applications Resilient to Infrastructu...
Practical Design Patterns for Building Applications Resilient to Infrastructu...Practical Design Patterns for Building Applications Resilient to Infrastructu...
Practical Design Patterns for Building Applications Resilient to Infrastructu...
 
Intro to NoSQL and MongoDB
Intro to NoSQL and MongoDBIntro to NoSQL and MongoDB
Intro to NoSQL and MongoDB
 
Mongo DB: Operational Big Data Database
Mongo DB: Operational Big Data DatabaseMongo DB: Operational Big Data Database
Mongo DB: Operational Big Data Database
 
MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...
MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...
MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...
 
MongoDB San Francisco 2013: Storing eBay's Media Metadata on MongoDB present...
MongoDB San Francisco 2013: Storing eBay's Media Metadata on MongoDB  present...MongoDB San Francisco 2013: Storing eBay's Media Metadata on MongoDB  present...
MongoDB San Francisco 2013: Storing eBay's Media Metadata on MongoDB present...
 
An Introduction to MongoDB Compass
An Introduction to MongoDB CompassAn Introduction to MongoDB Compass
An Introduction to MongoDB Compass
 
Webinar: A Total Cost of Ownership Analysis for MongoDB
Webinar: A Total Cost of Ownership Analysis for MongoDBWebinar: A Total Cost of Ownership Analysis for MongoDB
Webinar: A Total Cost of Ownership Analysis for MongoDB
 
Designing Cloud Products
Designing Cloud Products Designing Cloud Products
Designing Cloud Products
 
Bridging Your Business Across the Enterprise and Cloud with MongoDB and NetApp
Bridging Your Business Across the Enterprise and Cloud with MongoDB and NetAppBridging Your Business Across the Enterprise and Cloud with MongoDB and NetApp
Bridging Your Business Across the Enterprise and Cloud with MongoDB and NetApp
 
Using Compass to Diagnose Performance Problems in Your Cluster
Using Compass to Diagnose Performance Problems in Your ClusterUsing Compass to Diagnose Performance Problems in Your Cluster
Using Compass to Diagnose Performance Problems in Your Cluster
 
An Enterprise Architect's View of MongoDB
An Enterprise Architect's View of MongoDBAn Enterprise Architect's View of MongoDB
An Enterprise Architect's View of MongoDB
 

En vedette

Welcome and Introduction to A Morning with MongoDB Petah Tikvah
Welcome and Introduction to A Morning with MongoDB Petah TikvahWelcome and Introduction to A Morning with MongoDB Petah Tikvah
Welcome and Introduction to A Morning with MongoDB Petah TikvahMongoDB
 
2012 mongo db_bangalore_replication
2012 mongo db_bangalore_replication2012 mongo db_bangalore_replication
2012 mongo db_bangalore_replicationMongoDB
 
Intro to NoSQL and MongoDB
 Intro to NoSQL and MongoDB Intro to NoSQL and MongoDB
Intro to NoSQL and MongoDBMongoDB
 
20121024 mongodb-boston (1)
20121024 mongodb-boston (1)20121024 mongodb-boston (1)
20121024 mongodb-boston (1)MongoDB
 
Replication Online
Replication OnlineReplication Online
Replication OnlineMongoDB
 
Replication and Replica Sets
Replication and Replica SetsReplication and Replica Sets
Replication and Replica SetsMongoDB
 
MongoDB Hadoop and Humongous Data
MongoDB Hadoop and Humongous DataMongoDB Hadoop and Humongous Data
MongoDB Hadoop and Humongous DataMongoDB
 
Building your first Java Application with MongoDB
Building your first Java Application with MongoDBBuilding your first Java Application with MongoDB
Building your first Java Application with MongoDBMongoDB
 

En vedette (8)

Welcome and Introduction to A Morning with MongoDB Petah Tikvah
Welcome and Introduction to A Morning with MongoDB Petah TikvahWelcome and Introduction to A Morning with MongoDB Petah Tikvah
Welcome and Introduction to A Morning with MongoDB Petah Tikvah
 
2012 mongo db_bangalore_replication
2012 mongo db_bangalore_replication2012 mongo db_bangalore_replication
2012 mongo db_bangalore_replication
 
Intro to NoSQL and MongoDB
 Intro to NoSQL and MongoDB Intro to NoSQL and MongoDB
Intro to NoSQL and MongoDB
 
20121024 mongodb-boston (1)
20121024 mongodb-boston (1)20121024 mongodb-boston (1)
20121024 mongodb-boston (1)
 
Replication Online
Replication OnlineReplication Online
Replication Online
 
Replication and Replica Sets
Replication and Replica SetsReplication and Replica Sets
Replication and Replica Sets
 
MongoDB Hadoop and Humongous Data
MongoDB Hadoop and Humongous DataMongoDB Hadoop and Humongous Data
MongoDB Hadoop and Humongous Data
 
Building your first Java Application with MongoDB
Building your first Java Application with MongoDBBuilding your first Java Application with MongoDB
Building your first Java Application with MongoDB
 

Similaire à Welcome to MongoDB Tokyo 2012

Onomi - MongoDB Introduction
Onomi - MongoDB IntroductionOnomi - MongoDB Introduction
Onomi - MongoDB IntroductionOnomi
 
An Evening with MongoDB Detroit 2013
An Evening with MongoDB Detroit 2013An Evening with MongoDB Detroit 2013
An Evening with MongoDB Detroit 2013MongoDB
 
Enabling Telco to Build and Run Modern Applications
Enabling Telco to Build and Run Modern Applications Enabling Telco to Build and Run Modern Applications
Enabling Telco to Build and Run Modern Applications Tugdual Grall
 
An afternoon with mongo db new delhi
An afternoon with mongo db new delhiAn afternoon with mongo db new delhi
An afternoon with mongo db new delhiRajnish Verma
 
Webinar: NoSQL as the New Normal
Webinar: NoSQL as the New NormalWebinar: NoSQL as the New Normal
Webinar: NoSQL as the New NormalMongoDB
 
MongoDB Breakfast Milan - Mainframe Offloading Strategies
MongoDB Breakfast Milan -  Mainframe Offloading StrategiesMongoDB Breakfast Milan -  Mainframe Offloading Strategies
MongoDB Breakfast Milan - Mainframe Offloading StrategiesMongoDB
 
Overcoming Today's Data Challenges with MongoDB
Overcoming Today's Data Challenges with MongoDBOvercoming Today's Data Challenges with MongoDB
Overcoming Today's Data Challenges with MongoDBMongoDB
 
Data Treatment MongoDB
Data Treatment MongoDBData Treatment MongoDB
Data Treatment MongoDBNorberto Leite
 
MongoDB Tick Data Presentation
MongoDB Tick Data PresentationMongoDB Tick Data Presentation
MongoDB Tick Data PresentationMongoDB
 
A Morning with MongoDB - Helsinki
A Morning with MongoDB - HelsinkiA Morning with MongoDB - Helsinki
A Morning with MongoDB - HelsinkiMongoDB
 
AWS re:Invent 2016: Migrating Your Data Warehouse to Amazon Redshift (DAT202)
AWS re:Invent 2016: Migrating Your Data Warehouse to Amazon Redshift (DAT202)AWS re:Invent 2016: Migrating Your Data Warehouse to Amazon Redshift (DAT202)
AWS re:Invent 2016: Migrating Your Data Warehouse to Amazon Redshift (DAT202)Amazon Web Services
 
Webinar: When to Use MongoDB
Webinar: When to Use MongoDBWebinar: When to Use MongoDB
Webinar: When to Use MongoDBMongoDB
 
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...Amazon Web Services
 
Accelerating a Path to Digital With a Cloud Data Strategy
Accelerating a Path to Digital With a Cloud Data StrategyAccelerating a Path to Digital With a Cloud Data Strategy
Accelerating a Path to Digital With a Cloud Data StrategyMongoDB
 
MongoDB: The Operational Big Data by NORBERTO LEITE at Big Data Spain 2014
 MongoDB: The Operational Big Data by NORBERTO LEITE at Big Data Spain 2014 MongoDB: The Operational Big Data by NORBERTO LEITE at Big Data Spain 2014
MongoDB: The Operational Big Data by NORBERTO LEITE at Big Data Spain 2014Big Data Spain
 
PostgreSQL as a Strategic Tool
PostgreSQL as a Strategic ToolPostgreSQL as a Strategic Tool
PostgreSQL as a Strategic ToolEDB
 
Quantifying Business Advantage: The Value of Database Selection
Quantifying Business Advantage: The Value of Database SelectionQuantifying Business Advantage: The Value of Database Selection
Quantifying Business Advantage: The Value of Database SelectionMongoDB
 
La creación de una capa operacional con MongoDB
La creación de una capa operacional con MongoDBLa creación de una capa operacional con MongoDB
La creación de una capa operacional con MongoDBMongoDB
 
Webinar: “ditch Oracle NOW”: Best Practices for Migrating to MongoDB
 Webinar: “ditch Oracle NOW”: Best Practices for Migrating to MongoDB Webinar: “ditch Oracle NOW”: Best Practices for Migrating to MongoDB
Webinar: “ditch Oracle NOW”: Best Practices for Migrating to MongoDBMongoDB
 
mongoDB: Driving a data revolution
mongoDB: Driving a data revolutionmongoDB: Driving a data revolution
mongoDB: Driving a data revolutionMongoDB
 

Similaire à Welcome to MongoDB Tokyo 2012 (20)

Onomi - MongoDB Introduction
Onomi - MongoDB IntroductionOnomi - MongoDB Introduction
Onomi - MongoDB Introduction
 
An Evening with MongoDB Detroit 2013
An Evening with MongoDB Detroit 2013An Evening with MongoDB Detroit 2013
An Evening with MongoDB Detroit 2013
 
Enabling Telco to Build and Run Modern Applications
Enabling Telco to Build and Run Modern Applications Enabling Telco to Build and Run Modern Applications
Enabling Telco to Build and Run Modern Applications
 
An afternoon with mongo db new delhi
An afternoon with mongo db new delhiAn afternoon with mongo db new delhi
An afternoon with mongo db new delhi
 
Webinar: NoSQL as the New Normal
Webinar: NoSQL as the New NormalWebinar: NoSQL as the New Normal
Webinar: NoSQL as the New Normal
 
MongoDB Breakfast Milan - Mainframe Offloading Strategies
MongoDB Breakfast Milan -  Mainframe Offloading StrategiesMongoDB Breakfast Milan -  Mainframe Offloading Strategies
MongoDB Breakfast Milan - Mainframe Offloading Strategies
 
Overcoming Today's Data Challenges with MongoDB
Overcoming Today's Data Challenges with MongoDBOvercoming Today's Data Challenges with MongoDB
Overcoming Today's Data Challenges with MongoDB
 
Data Treatment MongoDB
Data Treatment MongoDBData Treatment MongoDB
Data Treatment MongoDB
 
MongoDB Tick Data Presentation
MongoDB Tick Data PresentationMongoDB Tick Data Presentation
MongoDB Tick Data Presentation
 
A Morning with MongoDB - Helsinki
A Morning with MongoDB - HelsinkiA Morning with MongoDB - Helsinki
A Morning with MongoDB - Helsinki
 
AWS re:Invent 2016: Migrating Your Data Warehouse to Amazon Redshift (DAT202)
AWS re:Invent 2016: Migrating Your Data Warehouse to Amazon Redshift (DAT202)AWS re:Invent 2016: Migrating Your Data Warehouse to Amazon Redshift (DAT202)
AWS re:Invent 2016: Migrating Your Data Warehouse to Amazon Redshift (DAT202)
 
Webinar: When to Use MongoDB
Webinar: When to Use MongoDBWebinar: When to Use MongoDB
Webinar: When to Use MongoDB
 
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...
 
Accelerating a Path to Digital With a Cloud Data Strategy
Accelerating a Path to Digital With a Cloud Data StrategyAccelerating a Path to Digital With a Cloud Data Strategy
Accelerating a Path to Digital With a Cloud Data Strategy
 
MongoDB: The Operational Big Data by NORBERTO LEITE at Big Data Spain 2014
 MongoDB: The Operational Big Data by NORBERTO LEITE at Big Data Spain 2014 MongoDB: The Operational Big Data by NORBERTO LEITE at Big Data Spain 2014
MongoDB: The Operational Big Data by NORBERTO LEITE at Big Data Spain 2014
 
PostgreSQL as a Strategic Tool
PostgreSQL as a Strategic ToolPostgreSQL as a Strategic Tool
PostgreSQL as a Strategic Tool
 
Quantifying Business Advantage: The Value of Database Selection
Quantifying Business Advantage: The Value of Database SelectionQuantifying Business Advantage: The Value of Database Selection
Quantifying Business Advantage: The Value of Database Selection
 
La creación de una capa operacional con MongoDB
La creación de una capa operacional con MongoDBLa creación de una capa operacional con MongoDB
La creación de una capa operacional con MongoDB
 
Webinar: “ditch Oracle NOW”: Best Practices for Migrating to MongoDB
 Webinar: “ditch Oracle NOW”: Best Practices for Migrating to MongoDB Webinar: “ditch Oracle NOW”: Best Practices for Migrating to MongoDB
Webinar: “ditch Oracle NOW”: Best Practices for Migrating to MongoDB
 
mongoDB: Driving a data revolution
mongoDB: Driving a data revolutionmongoDB: Driving a data revolution
mongoDB: Driving a data revolution
 

Plus de MongoDB

MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB
 
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB
 
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB
 
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB
 
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB
 
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB
 
MongoDB SoCal 2020: MongoDB Atlas Jump Start
 MongoDB SoCal 2020: MongoDB Atlas Jump Start MongoDB SoCal 2020: MongoDB Atlas Jump Start
MongoDB SoCal 2020: MongoDB Atlas Jump StartMongoDB
 
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB
 
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB
 
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB
 
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB
 
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB
 
MongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB
 
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB
 
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB
 
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB
 
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB
 
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB
 
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB
 
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB
 

Plus de MongoDB (20)

MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
 
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
 
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
 
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
 
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
 
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
 
MongoDB SoCal 2020: MongoDB Atlas Jump Start
 MongoDB SoCal 2020: MongoDB Atlas Jump Start MongoDB SoCal 2020: MongoDB Atlas Jump Start
MongoDB SoCal 2020: MongoDB Atlas Jump Start
 
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
 
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2
 
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
 
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
 
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
 
MongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
 
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
 
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
 
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
 
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
 
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
 
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
 
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
 

Welcome to MongoDB Tokyo 2012

  • 2. Sessions this Morning 9:20 – 10:00 Schema Design Derick Rethans 10gen 10:05 – Deployment Alvin Richards 10gen 10:45 10:45 – Refreshments 11:00 11:00 – 11:45 Replication Steve Francia 10gen 11:45 – Amazon Data Services Mr. Matsuo Amazon 12:15 and MongoDB 12:20 – Normura Research Institue Fujisaki Normura 12:50 Research Institue 12:50 – 1:30 Lunch
  • 3. Sessions this Afternoon 1:30 – 2:00 RedHat Japan and MongoDB Mr. Nakai Red Hat 2:05 – 2:35 A-SaaS Mr. Ishikawa A-SaaS 2:35 – 3:15 MongoDB and Hadoop Steve Francia 10gen 3:15 – 3:30 Refreshments 3:30 – 4:10 Sharding Derick 10gen Rethans 4:15 – 4:45 Rakuten and MongoDB Mr. Sasaki Rakuten 4:45 – 5:15 Roadmap Alvin 10gen Richards 5:15 – 7:00 After Party!
  • 5. 10gen Overview 10gen is the company behind MongoDB – the leading NoSQL database
  • 6. 10gen Overview 170+ employees
  • 7. 10gen Overview 500+ customers
  • 8. 10gen Overview $73M in funding from top investors
  • 9. 10gen Overview Offices in New York, Palo Alto, London, Dublin, Barcelona and Sydney
  • 11. Global MongoDB Community 41,000+ Monthly Unique Downloads 24,000+ Online Education Registrants 12,000+ MongoDB User Group Members 10,000+ Annual MongoDB Days Attendees
  • 13. Relational Database Challenges Data Types Agile Development • Unstructured data • Iterative • Semi-structured • Short development data cycles • Polymorphic data • New workloads Volume of Data New Architectures • Petabytes of data • Horizontal scaling • Trillions of records • Commodity servers • Tens of millions of queries per second • Cloud computing
  • 16. Agile RDBMS MongoDB { _id : ObjectId("4c4ba5e5e8aabf3"), employee_name: "Dunham, Justin", department : "Marketing", title : "Product Manager, Web", report_up: "Neray, Graham", pay_band: “C", benefits : [ { type : "Health", plan : "PPO Plus" }, { type : "Dental", plan : "Standard" } ] }
  • 18. Key Features JSON Data Model with Auto-Sharding for Dynamic Schema Horizontal Scalability Rich, Document-Based Flexible, Full Index Support Queries Built-In Replication and Fast, In-Place Updates High Availability Aggregation Framework and GridFS for Large File Storage Map/Reduce
  • 19. MongoDB Monitoring Service (MMS) • Free, cloud-based service for monitoring and alerts • 10,000+ users
  • 20. Best Total Cost of Ownership (TCO) Developer and Ops Savings • Less code • More productive development • Easier to maintain Hardware Savings • Commodity servers • Internal storage (no SAN) • Scale out, not up Software and Support Savings • No upfront license – pay for value DB Alternative over time • Cost visibility for usage growth
  • 21. 10gen Products and Services Subscriptions Professional Support, Subscriber Edition and Commercial License Consulting Expert Resources for All Phases of MongoDB Implementations Training Online and In-Person, for Developers and Administrators
  • 23. For More Information Resource User Data Management Location MongoDB Downloads www.mongodb.org/download Free Online Training education.10gen.com Webinars and Events www.10gen.com/events White Papers www.10gen.com/white-papers Customer Case Studies www.10gen.com/customers Presentations www.10gen.com/presentations Documentation docs.mongodb.org Additional Info info@10gen.com

Notes de l'éditeur

  1. Ok, so here are the presenters notes. Your first job is to add you name and other useful stuff so that your students can contact you afterwards.This is a good time to- introduce yourself- create a seating chart, get each student to say their name, company and what they want to learn... and write it on your seating chart
  2. Note: Growth refers to year-to-date revenue based on our fiscal years for 2011 and 2012, i.e., it compares Feb-Oct 2011 (calendar year) to Feb-Oct 2012 (calendar). These figures are unaudited and subject to change.
  3. 201110gen trained 1,000 people via in-person training2012Launched developer and DBA courses last month (you can still sign up!)20,000 enrolled