SlideShare a Scribd company logo
Schema Design Basics Roger Bodamer roger @ 10gen.com @rogerb
A brief history of Data Modeling ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
So why model data?
Modeling goals ,[object Object],[object Object],[object Object],[object Object],[object Object],* source : wikipedia
Relational made normalized data look like this
Document databases make normalized data look like this
Some terms before we proceed RDBMS Document DBs Table Collection View / Row(s) JSON Document Index Index Join Embedding & Linking across documents Partition Shard Partition Key Shard Key
Recap ,[object Object],[object Object],[object Object],[object Object],[object Object]
Query operators ,[object Object],[object Object],[object Object],[object Object],[object Object]
Query operators ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Query operators ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Extending the Schema ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Extending the Schema
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Extending the Schema
Single Table Inheritance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
One to Many ,[object Object],[object Object],[object Object]
One to Many ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
One to Many ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Many - Many ,[object Object],[object Object],[object Object],Products - product_id Category - category_id ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],Many – Many
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Many – Many
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Many - Many
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Many - Many
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Alternative
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Alternative
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Alternative
Trees ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Trees - continued ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Array of Ancestors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Array of Ancestors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Array of Ancestors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Variable Keys ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
findAndModify ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Learn More ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank You :-)
Download MongoDB http://www.mongodb.org and let us know what you think @mongodb
DBRef ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
BSON ,[object Object],[object Object],[object Object],[object Object]

More Related Content

What's hot

Dropping ACID with MongoDB
Dropping ACID with MongoDBDropping ACID with MongoDB
Dropping ACID with MongoDB
kchodorow
 
MongoDB and Ruby on Rails
MongoDB and Ruby on RailsMongoDB and Ruby on Rails
MongoDB and Ruby on Railsrfischer20
 
MongoDB (Advanced)
MongoDB (Advanced)MongoDB (Advanced)
MongoDB (Advanced)
TO THE NEW | Technology
 
Powerful Analysis with the Aggregation Pipeline
Powerful Analysis with the Aggregation PipelinePowerful Analysis with the Aggregation Pipeline
Powerful Analysis with the Aggregation Pipeline
MongoDB
 
01 ElasticSearch : Getting Started
01 ElasticSearch : Getting Started01 ElasticSearch : Getting Started
01 ElasticSearch : Getting Started
OpenThink Labs
 
Back to Basics Webinar 2: Your First MongoDB Application
Back to Basics Webinar 2: Your First MongoDB ApplicationBack to Basics Webinar 2: Your First MongoDB Application
Back to Basics Webinar 2: Your First MongoDB Application
MongoDB
 
Moose Best Practices
Moose Best PracticesMoose Best Practices
Moose Best Practices
Aran Deltac
 
ETL for Pros: Getting Data Into MongoDB
ETL for Pros: Getting Data Into MongoDBETL for Pros: Getting Data Into MongoDB
ETL for Pros: Getting Data Into MongoDB
MongoDB
 
Dex Technical Seminar (April 2011)
Dex Technical Seminar (April 2011)Dex Technical Seminar (April 2011)
Dex Technical Seminar (April 2011)
Sergio Gomez Villamor
 
NoSQL を Ruby で実践するための n 個の方法
NoSQL を Ruby で実践するための n 個の方法NoSQL を Ruby で実践するための n 個の方法
NoSQL を Ruby で実践するための n 個の方法Tomohiro Nishimura
 
03. ElasticSearch : Data In, Data Out
03. ElasticSearch : Data In, Data Out03. ElasticSearch : Data In, Data Out
03. ElasticSearch : Data In, Data Out
OpenThink Labs
 
Back to Basics Webinar 3 - Thinking in Documents
Back to Basics Webinar 3 - Thinking in DocumentsBack to Basics Webinar 3 - Thinking in Documents
Back to Basics Webinar 3 - Thinking in Documents
Joe Drumgoole
 
Back to Basics Webinar 1 - Introduction to NoSQL
Back to Basics Webinar 1 - Introduction to NoSQLBack to Basics Webinar 1 - Introduction to NoSQL
Back to Basics Webinar 1 - Introduction to NoSQL
Joe Drumgoole
 
Terms of endearment - the ElasticSearch Query DSL explained
Terms of endearment - the ElasticSearch Query DSL explainedTerms of endearment - the ElasticSearch Query DSL explained
Terms of endearment - the ElasticSearch Query DSL explained
clintongormley
 
ETL for Pros: Getting Data Into MongoDB
ETL for Pros: Getting Data Into MongoDBETL for Pros: Getting Data Into MongoDB
ETL for Pros: Getting Data Into MongoDB
MongoDB
 
Dev Jumpstart: Schema Design Best Practices
Dev Jumpstart: Schema Design Best PracticesDev Jumpstart: Schema Design Best Practices
Dev Jumpstart: Schema Design Best Practices
MongoDB
 
The Ruby/mongoDB ecosystem
The Ruby/mongoDB ecosystemThe Ruby/mongoDB ecosystem
The Ruby/mongoDB ecosystemHarold Giménez
 
MongoDB San Francisco 2013: Data Modeling Examples From the Real World presen...
MongoDB San Francisco 2013: Data Modeling Examples From the Real World presen...MongoDB San Francisco 2013: Data Modeling Examples From the Real World presen...
MongoDB San Francisco 2013: Data Modeling Examples From the Real World presen...
MongoDB
 
06. ElasticSearch : Mapping and Analysis
06. ElasticSearch : Mapping and Analysis06. ElasticSearch : Mapping and Analysis
06. ElasticSearch : Mapping and Analysis
OpenThink Labs
 
ActiveRecord vs Mongoid
ActiveRecord vs MongoidActiveRecord vs Mongoid
ActiveRecord vs Mongoid
Ivan Nemytchenko
 

What's hot (20)

Dropping ACID with MongoDB
Dropping ACID with MongoDBDropping ACID with MongoDB
Dropping ACID with MongoDB
 
MongoDB and Ruby on Rails
MongoDB and Ruby on RailsMongoDB and Ruby on Rails
MongoDB and Ruby on Rails
 
MongoDB (Advanced)
MongoDB (Advanced)MongoDB (Advanced)
MongoDB (Advanced)
 
Powerful Analysis with the Aggregation Pipeline
Powerful Analysis with the Aggregation PipelinePowerful Analysis with the Aggregation Pipeline
Powerful Analysis with the Aggregation Pipeline
 
01 ElasticSearch : Getting Started
01 ElasticSearch : Getting Started01 ElasticSearch : Getting Started
01 ElasticSearch : Getting Started
 
Back to Basics Webinar 2: Your First MongoDB Application
Back to Basics Webinar 2: Your First MongoDB ApplicationBack to Basics Webinar 2: Your First MongoDB Application
Back to Basics Webinar 2: Your First MongoDB Application
 
Moose Best Practices
Moose Best PracticesMoose Best Practices
Moose Best Practices
 
ETL for Pros: Getting Data Into MongoDB
ETL for Pros: Getting Data Into MongoDBETL for Pros: Getting Data Into MongoDB
ETL for Pros: Getting Data Into MongoDB
 
Dex Technical Seminar (April 2011)
Dex Technical Seminar (April 2011)Dex Technical Seminar (April 2011)
Dex Technical Seminar (April 2011)
 
NoSQL を Ruby で実践するための n 個の方法
NoSQL を Ruby で実践するための n 個の方法NoSQL を Ruby で実践するための n 個の方法
NoSQL を Ruby で実践するための n 個の方法
 
03. ElasticSearch : Data In, Data Out
03. ElasticSearch : Data In, Data Out03. ElasticSearch : Data In, Data Out
03. ElasticSearch : Data In, Data Out
 
Back to Basics Webinar 3 - Thinking in Documents
Back to Basics Webinar 3 - Thinking in DocumentsBack to Basics Webinar 3 - Thinking in Documents
Back to Basics Webinar 3 - Thinking in Documents
 
Back to Basics Webinar 1 - Introduction to NoSQL
Back to Basics Webinar 1 - Introduction to NoSQLBack to Basics Webinar 1 - Introduction to NoSQL
Back to Basics Webinar 1 - Introduction to NoSQL
 
Terms of endearment - the ElasticSearch Query DSL explained
Terms of endearment - the ElasticSearch Query DSL explainedTerms of endearment - the ElasticSearch Query DSL explained
Terms of endearment - the ElasticSearch Query DSL explained
 
ETL for Pros: Getting Data Into MongoDB
ETL for Pros: Getting Data Into MongoDBETL for Pros: Getting Data Into MongoDB
ETL for Pros: Getting Data Into MongoDB
 
Dev Jumpstart: Schema Design Best Practices
Dev Jumpstart: Schema Design Best PracticesDev Jumpstart: Schema Design Best Practices
Dev Jumpstart: Schema Design Best Practices
 
The Ruby/mongoDB ecosystem
The Ruby/mongoDB ecosystemThe Ruby/mongoDB ecosystem
The Ruby/mongoDB ecosystem
 
MongoDB San Francisco 2013: Data Modeling Examples From the Real World presen...
MongoDB San Francisco 2013: Data Modeling Examples From the Real World presen...MongoDB San Francisco 2013: Data Modeling Examples From the Real World presen...
MongoDB San Francisco 2013: Data Modeling Examples From the Real World presen...
 
06. ElasticSearch : Mapping and Analysis
06. ElasticSearch : Mapping and Analysis06. ElasticSearch : Mapping and Analysis
06. ElasticSearch : Mapping and Analysis
 
ActiveRecord vs Mongoid
ActiveRecord vs MongoidActiveRecord vs Mongoid
ActiveRecord vs Mongoid
 

Similar to Schema design short

Architecture | Busy Java Developers Guide to NoSQL | Ted Neward
Architecture | Busy Java Developers Guide to NoSQL | Ted NewardArchitecture | Busy Java Developers Guide to NoSQL | Ted Neward
Architecture | Busy Java Developers Guide to NoSQL | Ted Neward
JAX London
 
10gen Presents Schema Design and Data Modeling
10gen Presents Schema Design and Data Modeling10gen Presents Schema Design and Data Modeling
10gen Presents Schema Design and Data ModelingDATAVERSITY
 
This upload requires better support for ODP format
This upload requires better support for ODP formatThis upload requires better support for ODP format
This upload requires better support for ODP format
Forest Mars
 
Mongo-Drupal
Mongo-DrupalMongo-Drupal
Mongo-Drupal
Forest Mars
 
Cool bonsai cool - an introduction to ElasticSearch
Cool bonsai cool - an introduction to ElasticSearchCool bonsai cool - an introduction to ElasticSearch
Cool bonsai cool - an introduction to ElasticSearch
clintongormley
 
Hands On Spring Data
Hands On Spring DataHands On Spring Data
Hands On Spring Data
Eric Bottard
 
Introducing Modern Perl
Introducing Modern PerlIntroducing Modern Perl
Introducing Modern PerlDave Cross
 
Webinar: General Technical Overview of MongoDB for Dev Teams
Webinar: General Technical Overview of MongoDB for Dev TeamsWebinar: General Technical Overview of MongoDB for Dev Teams
Webinar: General Technical Overview of MongoDB for Dev Teams
MongoDB
 
Micro-ORM Introduction - Don't overcomplicate
Micro-ORM Introduction - Don't overcomplicateMicro-ORM Introduction - Don't overcomplicate
Micro-ORM Introduction - Don't overcomplicateKiev ALT.NET
 
mongodb-introduction
mongodb-introductionmongodb-introduction
mongodb-introduction
Tse-Ching Ho
 
NLP Project Full Circle
NLP Project Full CircleNLP Project Full Circle
NLP Project Full Circle
Vsevolod Dyomkin
 
Mongo and Harmony
Mongo and HarmonyMongo and Harmony
Mongo and HarmonySteve Smith
 
Mongo db – document oriented database
Mongo db – document oriented databaseMongo db – document oriented database
Mongo db – document oriented databaseWojciech Sznapka
 
When Relational Isn't Enough: Neo4j at Squidoo
When Relational Isn't Enough: Neo4j at SquidooWhen Relational Isn't Enough: Neo4j at Squidoo
When Relational Isn't Enough: Neo4j at Squidoo
Gil Hildebrand
 
Ejb3 Struts Tutorial En
Ejb3 Struts Tutorial EnEjb3 Struts Tutorial En
Ejb3 Struts Tutorial EnAnkur Dongre
 
Ejb3 Struts Tutorial En
Ejb3 Struts Tutorial EnEjb3 Struts Tutorial En
Ejb3 Struts Tutorial EnAnkur Dongre
 
Modeling Tricks My Relational Database Never Taught Me
Modeling Tricks My Relational Database Never Taught MeModeling Tricks My Relational Database Never Taught Me
Modeling Tricks My Relational Database Never Taught Me
David Boike
 
Analytics with MongoDB Aggregation Framework and Hadoop Connector
Analytics with MongoDB Aggregation Framework and Hadoop ConnectorAnalytics with MongoDB Aggregation Framework and Hadoop Connector
Analytics with MongoDB Aggregation Framework and Hadoop Connector
Henrik Ingo
 
Solving the Riddle of Search: Using Sphinx with Rails
Solving the Riddle of Search: Using Sphinx with RailsSolving the Riddle of Search: Using Sphinx with Rails
Solving the Riddle of Search: Using Sphinx with Rails
freelancing_god
 
Mongo db
Mongo dbMongo db
Mongo db
Girish Talekar
 

Similar to Schema design short (20)

Architecture | Busy Java Developers Guide to NoSQL | Ted Neward
Architecture | Busy Java Developers Guide to NoSQL | Ted NewardArchitecture | Busy Java Developers Guide to NoSQL | Ted Neward
Architecture | Busy Java Developers Guide to NoSQL | Ted Neward
 
10gen Presents Schema Design and Data Modeling
10gen Presents Schema Design and Data Modeling10gen Presents Schema Design and Data Modeling
10gen Presents Schema Design and Data Modeling
 
This upload requires better support for ODP format
This upload requires better support for ODP formatThis upload requires better support for ODP format
This upload requires better support for ODP format
 
Mongo-Drupal
Mongo-DrupalMongo-Drupal
Mongo-Drupal
 
Cool bonsai cool - an introduction to ElasticSearch
Cool bonsai cool - an introduction to ElasticSearchCool bonsai cool - an introduction to ElasticSearch
Cool bonsai cool - an introduction to ElasticSearch
 
Hands On Spring Data
Hands On Spring DataHands On Spring Data
Hands On Spring Data
 
Introducing Modern Perl
Introducing Modern PerlIntroducing Modern Perl
Introducing Modern Perl
 
Webinar: General Technical Overview of MongoDB for Dev Teams
Webinar: General Technical Overview of MongoDB for Dev TeamsWebinar: General Technical Overview of MongoDB for Dev Teams
Webinar: General Technical Overview of MongoDB for Dev Teams
 
Micro-ORM Introduction - Don't overcomplicate
Micro-ORM Introduction - Don't overcomplicateMicro-ORM Introduction - Don't overcomplicate
Micro-ORM Introduction - Don't overcomplicate
 
mongodb-introduction
mongodb-introductionmongodb-introduction
mongodb-introduction
 
NLP Project Full Circle
NLP Project Full CircleNLP Project Full Circle
NLP Project Full Circle
 
Mongo and Harmony
Mongo and HarmonyMongo and Harmony
Mongo and Harmony
 
Mongo db – document oriented database
Mongo db – document oriented databaseMongo db – document oriented database
Mongo db – document oriented database
 
When Relational Isn't Enough: Neo4j at Squidoo
When Relational Isn't Enough: Neo4j at SquidooWhen Relational Isn't Enough: Neo4j at Squidoo
When Relational Isn't Enough: Neo4j at Squidoo
 
Ejb3 Struts Tutorial En
Ejb3 Struts Tutorial EnEjb3 Struts Tutorial En
Ejb3 Struts Tutorial En
 
Ejb3 Struts Tutorial En
Ejb3 Struts Tutorial EnEjb3 Struts Tutorial En
Ejb3 Struts Tutorial En
 
Modeling Tricks My Relational Database Never Taught Me
Modeling Tricks My Relational Database Never Taught MeModeling Tricks My Relational Database Never Taught Me
Modeling Tricks My Relational Database Never Taught Me
 
Analytics with MongoDB Aggregation Framework and Hadoop Connector
Analytics with MongoDB Aggregation Framework and Hadoop ConnectorAnalytics with MongoDB Aggregation Framework and Hadoop Connector
Analytics with MongoDB Aggregation Framework and Hadoop Connector
 
Solving the Riddle of Search: Using Sphinx with Rails
Solving the Riddle of Search: Using Sphinx with RailsSolving the Riddle of Search: Using Sphinx with Rails
Solving the Riddle of Search: Using Sphinx with Rails
 
Mongo db
Mongo dbMongo db
Mongo db
 

More from 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 Atlas
MongoDB
 
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 MongoDB
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
 
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
 
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
 
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 4.2
MongoDB
 
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 Mindset
MongoDB
 
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
 
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 Dive
MongoDB
 
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
 
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
 

More from 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...
 

Recently uploaded

20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
Matthew Sinclair
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
mikeeftimakis1
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
Dorra BARTAGUIZ
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Aggregage
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
Pierluigi Pugliese
 
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Nexer Digital
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
Ralf Eggert
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 

Recently uploaded (20)

20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
 
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 

Schema design short

Editor's Notes

  1. blog post twitter