SlideShare uma empresa Scribd logo
1 de 22
Baixar para ler offline
MongoDB 2.6
2
• Operations
– MMS makes MongoDB as easy to run as it is to build
• Enterprise-ready enhancements
– Security
– BI & Analytics
• Improved queries
– New protocol for write ops
– Query plans
– New operators
– Full Text Search
Our Biggest Release Ever
Ops
4
Monitoring
• MongoDB-specific metrics
• Understand system health, alerting, etc.
5
Backup
• Backup is hard
– For large, sharded clusters
• We make it simple
6
• 80% of downtime in all systems due to
people/process errors
• Upgrade: 30+ manual steps  1 click
Automation
7
• Background index build on secondary
• maxTimeMS()
• usePowerOf2Sizes is default
• New client-server protocol for writes
– Bulk() write ops
– Unordered = parallel execution
– BulkWriteResult contains separate error
for each op
• Housekeeping for sharded clusters
– cleanupOrphaned
– mergeChunks
Server Side Ops Improvements
Security
9
• What Enterprises Expect
– Fine-grained control
– Integration w/enterprise
systems
– Compliance
Most Secure NoSQL Database
10
Business Needs Security Features
Authentication
In Database
LDAP*
Kerberos*
x.509 Certificates*
Authorization
Built-in Roles
User-Defined Roles
Field Level Redaction (Partner Middleware)
Auditing
Write & Read Operations
Admin Operations*
Encryption
Network: SSL (with FIPS 140-2)*
Disk: Partner Solutions
MongoDB Enterprise-Grade Security
*Requires a MongoDB Subscription
11
• 2.4 stores users in each database
• 2.6 stores all users in admin.system.users
– Users are still scoped to a single db,
but not stored in that db
• Be careful when upgrading
– http://docs.mongodb.org/manual/release-notes/2.6-compatibility
Incompatible change!
Aggregation & BI
13
• Simpler ad-hoc queries
• Existing Indexes can be combined to optimize a
query
– Less Index Maintenance
– Smaller Working Set
– Lower Write Overhead
– More Adaptive
Index Intersection
14
• Cursors back for results
– No limit on output size
• $out for Aggregation
– Write results sets to a named collection
Pipelined Data Transformations
15
• $project operator in the aggregation pipeline now
supports an expanded set of expressions
$setIsSubset
$setEquals
$setDifference
$setIntersection
$setUnion
$allElementsTrue
$anyElementTrue
New Set Operators
16
BI & ETL ecosystem
17
Client side JavaScript frameworks
Full Text Search
19
• Builtin feature
– No need to copy data to Solr/ElasticSearch
• Aggregation framework supported
• 15 languages supported
– stopwords, stemming
Builtin, easy to use, search
Geo-spatial
21
• New Geometry objects
– MultiPoint
– MultiLineString
– MultiPolygon
– GeometryCollection
Geo-spatial improvements
Introducing MongoDB 2.6

Mais conteúdo relacionado

Mais procurados

Telco analytics at scale
Telco analytics at scaleTelco analytics at scale
Telco analytics at scaledatamantra
 
Operationalizing Big Data Pipelines At Scale
Operationalizing Big Data Pipelines At ScaleOperationalizing Big Data Pipelines At Scale
Operationalizing Big Data Pipelines At ScaleDatabricks
 
Presto: Fast SQL on Everything
Presto: Fast SQL on EverythingPresto: Fast SQL on Everything
Presto: Fast SQL on EverythingDavid Phillips
 
PaaS - google app engine
PaaS  - google app enginePaaS  - google app engine
PaaS - google app engineJ Singh
 
Mixing Analytic Workloads with Greenplum and Apache Spark
Mixing Analytic Workloads with Greenplum and Apache SparkMixing Analytic Workloads with Greenplum and Apache Spark
Mixing Analytic Workloads with Greenplum and Apache SparkVMware Tanzu
 
Presto Summit 2018 - 10 - Qubole
Presto Summit 2018  - 10 - QubolePresto Summit 2018  - 10 - Qubole
Presto Summit 2018 - 10 - Qubolekbajda
 
Hadoop data access layer v4.0
Hadoop data access layer v4.0Hadoop data access layer v4.0
Hadoop data access layer v4.0SpringPeople
 
LinkedIn's Logical Data Access Layer for Hadoop -- Strata London 2016
LinkedIn's Logical Data Access Layer for Hadoop -- Strata London 2016LinkedIn's Logical Data Access Layer for Hadoop -- Strata London 2016
LinkedIn's Logical Data Access Layer for Hadoop -- Strata London 2016Carl Steinbach
 
Presto: Fast SQL-on-Anything (including Delta Lake, Snowflake, Elasticsearch ...
Presto: Fast SQL-on-Anything (including Delta Lake, Snowflake, Elasticsearch ...Presto: Fast SQL-on-Anything (including Delta Lake, Snowflake, Elasticsearch ...
Presto: Fast SQL-on-Anything (including Delta Lake, Snowflake, Elasticsearch ...Databricks
 
An End-to-End Spark-Based Machine Learning Stack in the Hybrid Cloud with Far...
An End-to-End Spark-Based Machine Learning Stack in the Hybrid Cloud with Far...An End-to-End Spark-Based Machine Learning Stack in the Hybrid Cloud with Far...
An End-to-End Spark-Based Machine Learning Stack in the Hybrid Cloud with Far...Databricks
 
Optimizing industrial operations using the big data ecosystem
Optimizing industrial operations using the big data ecosystemOptimizing industrial operations using the big data ecosystem
Optimizing industrial operations using the big data ecosystemDataWorks Summit
 
Microservice-based software architecture
Microservice-based software architectureMicroservice-based software architecture
Microservice-based software architectureArangoDB Database
 
Presto @ Facebook: Past, Present and Future
Presto @ Facebook: Past, Present and FuturePresto @ Facebook: Past, Present and Future
Presto @ Facebook: Past, Present and FutureDataWorks Summit
 
Presto Summit 2018 - 04 - Netflix Containers
Presto Summit 2018 - 04 - Netflix ContainersPresto Summit 2018 - 04 - Netflix Containers
Presto Summit 2018 - 04 - Netflix Containerskbajda
 
Presto talk @ Global AI conference 2018 Boston
Presto talk @ Global AI conference 2018 BostonPresto talk @ Global AI conference 2018 Boston
Presto talk @ Global AI conference 2018 Bostonkbajda
 
Presto Summit 2018 - 09 - Netflix Iceberg
Presto Summit 2018  - 09 - Netflix IcebergPresto Summit 2018  - 09 - Netflix Iceberg
Presto Summit 2018 - 09 - Netflix Icebergkbajda
 
Streaming data in the cloud with Confluent and MongoDB Atlas | Robert Waters,...
Streaming data in the cloud with Confluent and MongoDB Atlas | Robert Waters,...Streaming data in the cloud with Confluent and MongoDB Atlas | Robert Waters,...
Streaming data in the cloud with Confluent and MongoDB Atlas | Robert Waters,...HostedbyConfluent
 
Sponsored Talk @ PGConf APAC 2018 - Migrating Oracle to EDB Postgres Approach...
Sponsored Talk @ PGConf APAC 2018 - Migrating Oracle to EDB Postgres Approach...Sponsored Talk @ PGConf APAC 2018 - Migrating Oracle to EDB Postgres Approach...
Sponsored Talk @ PGConf APAC 2018 - Migrating Oracle to EDB Postgres Approach...PGConf APAC
 
Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...
Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...
Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...Rittman Analytics
 

Mais procurados (20)

Telco analytics at scale
Telco analytics at scaleTelco analytics at scale
Telco analytics at scale
 
Operationalizing Big Data Pipelines At Scale
Operationalizing Big Data Pipelines At ScaleOperationalizing Big Data Pipelines At Scale
Operationalizing Big Data Pipelines At Scale
 
NoSQL for SQL Users
NoSQL for SQL UsersNoSQL for SQL Users
NoSQL for SQL Users
 
Presto: Fast SQL on Everything
Presto: Fast SQL on EverythingPresto: Fast SQL on Everything
Presto: Fast SQL on Everything
 
PaaS - google app engine
PaaS  - google app enginePaaS  - google app engine
PaaS - google app engine
 
Mixing Analytic Workloads with Greenplum and Apache Spark
Mixing Analytic Workloads with Greenplum and Apache SparkMixing Analytic Workloads with Greenplum and Apache Spark
Mixing Analytic Workloads with Greenplum and Apache Spark
 
Presto Summit 2018 - 10 - Qubole
Presto Summit 2018  - 10 - QubolePresto Summit 2018  - 10 - Qubole
Presto Summit 2018 - 10 - Qubole
 
Hadoop data access layer v4.0
Hadoop data access layer v4.0Hadoop data access layer v4.0
Hadoop data access layer v4.0
 
LinkedIn's Logical Data Access Layer for Hadoop -- Strata London 2016
LinkedIn's Logical Data Access Layer for Hadoop -- Strata London 2016LinkedIn's Logical Data Access Layer for Hadoop -- Strata London 2016
LinkedIn's Logical Data Access Layer for Hadoop -- Strata London 2016
 
Presto: Fast SQL-on-Anything (including Delta Lake, Snowflake, Elasticsearch ...
Presto: Fast SQL-on-Anything (including Delta Lake, Snowflake, Elasticsearch ...Presto: Fast SQL-on-Anything (including Delta Lake, Snowflake, Elasticsearch ...
Presto: Fast SQL-on-Anything (including Delta Lake, Snowflake, Elasticsearch ...
 
An End-to-End Spark-Based Machine Learning Stack in the Hybrid Cloud with Far...
An End-to-End Spark-Based Machine Learning Stack in the Hybrid Cloud with Far...An End-to-End Spark-Based Machine Learning Stack in the Hybrid Cloud with Far...
An End-to-End Spark-Based Machine Learning Stack in the Hybrid Cloud with Far...
 
Optimizing industrial operations using the big data ecosystem
Optimizing industrial operations using the big data ecosystemOptimizing industrial operations using the big data ecosystem
Optimizing industrial operations using the big data ecosystem
 
Microservice-based software architecture
Microservice-based software architectureMicroservice-based software architecture
Microservice-based software architecture
 
Presto @ Facebook: Past, Present and Future
Presto @ Facebook: Past, Present and FuturePresto @ Facebook: Past, Present and Future
Presto @ Facebook: Past, Present and Future
 
Presto Summit 2018 - 04 - Netflix Containers
Presto Summit 2018 - 04 - Netflix ContainersPresto Summit 2018 - 04 - Netflix Containers
Presto Summit 2018 - 04 - Netflix Containers
 
Presto talk @ Global AI conference 2018 Boston
Presto talk @ Global AI conference 2018 BostonPresto talk @ Global AI conference 2018 Boston
Presto talk @ Global AI conference 2018 Boston
 
Presto Summit 2018 - 09 - Netflix Iceberg
Presto Summit 2018  - 09 - Netflix IcebergPresto Summit 2018  - 09 - Netflix Iceberg
Presto Summit 2018 - 09 - Netflix Iceberg
 
Streaming data in the cloud with Confluent and MongoDB Atlas | Robert Waters,...
Streaming data in the cloud with Confluent and MongoDB Atlas | Robert Waters,...Streaming data in the cloud with Confluent and MongoDB Atlas | Robert Waters,...
Streaming data in the cloud with Confluent and MongoDB Atlas | Robert Waters,...
 
Sponsored Talk @ PGConf APAC 2018 - Migrating Oracle to EDB Postgres Approach...
Sponsored Talk @ PGConf APAC 2018 - Migrating Oracle to EDB Postgres Approach...Sponsored Talk @ PGConf APAC 2018 - Migrating Oracle to EDB Postgres Approach...
Sponsored Talk @ PGConf APAC 2018 - Migrating Oracle to EDB Postgres Approach...
 
Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...
Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...
Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...
 

Semelhante a Introducing MongoDB 2.6

Webinar: Best Practices for Upgrading to MongoDB 3.2
Webinar: Best Practices for Upgrading to MongoDB 3.2Webinar: Best Practices for Upgrading to MongoDB 3.2
Webinar: Best Practices for Upgrading to MongoDB 3.2Dana Elisabeth Groce
 
An Introduction to MongoDB Ops Manager
An Introduction to MongoDB Ops ManagerAn Introduction to MongoDB Ops Manager
An Introduction to MongoDB Ops ManagerMongoDB
 
MongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDB
MongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDBMongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDB
MongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDBMongoDB
 
MySQL Performance Best Practices
MySQL Performance Best PracticesMySQL Performance Best Practices
MySQL Performance Best PracticesOlivier DASINI
 
What's new in MongoDB 2.6 at India event by company
What's new in MongoDB 2.6 at India event by companyWhat's new in MongoDB 2.6 at India event by company
What's new in MongoDB 2.6 at India event by companyMongoDB APAC
 
MongoDB Server Provisioning - From 2 Months to 2 Minutes
MongoDB Server Provisioning - From 2 Months to 2 MinutesMongoDB Server Provisioning - From 2 Months to 2 Minutes
MongoDB Server Provisioning - From 2 Months to 2 MinutesMongoDB
 
Webinar: Best Practices for Upgrading to MongoDB 3.0
Webinar: Best Practices for Upgrading to MongoDB 3.0Webinar: Best Practices for Upgrading to MongoDB 3.0
Webinar: Best Practices for Upgrading to MongoDB 3.0MongoDB
 
Effective administration of IBM Integration Bus - Sanjay Nagchowdhury
Effective administration of IBM Integration Bus - Sanjay NagchowdhuryEffective administration of IBM Integration Bus - Sanjay Nagchowdhury
Effective administration of IBM Integration Bus - Sanjay NagchowdhuryKaren Broughton-Mabbitt
 
Expanding with EDB Postgres Advanced Server 9.5
Expanding with EDB Postgres Advanced Server 9.5Expanding with EDB Postgres Advanced Server 9.5
Expanding with EDB Postgres Advanced Server 9.5EDB
 
MongoDB 2.6 is great but what about 2.8?
MongoDB 2.6 is great but what about 2.8?MongoDB 2.6 is great but what about 2.8?
MongoDB 2.6 is great but what about 2.8?Norberto Leite
 
Webinar: Introduction to MongoDB 3.0
Webinar: Introduction to MongoDB 3.0Webinar: Introduction to MongoDB 3.0
Webinar: Introduction to MongoDB 3.0MongoDB
 
MongoDB 3.2 Feature Preview
MongoDB 3.2 Feature PreviewMongoDB 3.2 Feature Preview
MongoDB 3.2 Feature PreviewNorberto Leite
 
Running MongoDB 3.0 on AWS
Running MongoDB 3.0 on AWSRunning MongoDB 3.0 on AWS
Running MongoDB 3.0 on AWSMongoDB
 
MySQL Performance Tuning at COSCUP 2014
MySQL Performance Tuning at COSCUP 2014MySQL Performance Tuning at COSCUP 2014
MySQL Performance Tuning at COSCUP 2014Ryusuke Kajiyama
 
Webinar: High Performance MongoDB Applications with IBM POWER8
Webinar: High Performance MongoDB Applications with IBM POWER8Webinar: High Performance MongoDB Applications with IBM POWER8
Webinar: High Performance MongoDB Applications with IBM POWER8MongoDB
 
Neuerungen in EDB Postgres 11
Neuerungen in EDB Postgres 11Neuerungen in EDB Postgres 11
Neuerungen in EDB Postgres 11EDB
 
MySQL Day Paris 2018 - MySQL InnoDB Cluster; A complete High Availability sol...
MySQL Day Paris 2018 - MySQL InnoDB Cluster; A complete High Availability sol...MySQL Day Paris 2018 - MySQL InnoDB Cluster; A complete High Availability sol...
MySQL Day Paris 2018 - MySQL InnoDB Cluster; A complete High Availability sol...Olivier DASINI
 
Webinar: What's New in MongoDB 3.2
Webinar: What's New in MongoDB 3.2Webinar: What's New in MongoDB 3.2
Webinar: What's New in MongoDB 3.2MongoDB
 

Semelhante a Introducing MongoDB 2.6 (20)

Webinar: Best Practices for Upgrading to MongoDB 3.2
Webinar: Best Practices for Upgrading to MongoDB 3.2Webinar: Best Practices for Upgrading to MongoDB 3.2
Webinar: Best Practices for Upgrading to MongoDB 3.2
 
An Introduction to MongoDB Ops Manager
An Introduction to MongoDB Ops ManagerAn Introduction to MongoDB Ops Manager
An Introduction to MongoDB Ops Manager
 
MongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDB
MongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDBMongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDB
MongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDB
 
MySQL Performance Best Practices
MySQL Performance Best PracticesMySQL Performance Best Practices
MySQL Performance Best Practices
 
What's new in MongoDB 2.6 at India event by company
What's new in MongoDB 2.6 at India event by companyWhat's new in MongoDB 2.6 at India event by company
What's new in MongoDB 2.6 at India event by company
 
MongoDB Server Provisioning - From 2 Months to 2 Minutes
MongoDB Server Provisioning - From 2 Months to 2 MinutesMongoDB Server Provisioning - From 2 Months to 2 Minutes
MongoDB Server Provisioning - From 2 Months to 2 Minutes
 
What's new in MongoDB 2.6
What's new in MongoDB 2.6What's new in MongoDB 2.6
What's new in MongoDB 2.6
 
Webinar: Best Practices for Upgrading to MongoDB 3.0
Webinar: Best Practices for Upgrading to MongoDB 3.0Webinar: Best Practices for Upgrading to MongoDB 3.0
Webinar: Best Practices for Upgrading to MongoDB 3.0
 
Effective administration of IBM Integration Bus - Sanjay Nagchowdhury
Effective administration of IBM Integration Bus - Sanjay NagchowdhuryEffective administration of IBM Integration Bus - Sanjay Nagchowdhury
Effective administration of IBM Integration Bus - Sanjay Nagchowdhury
 
Expanding with EDB Postgres Advanced Server 9.5
Expanding with EDB Postgres Advanced Server 9.5Expanding with EDB Postgres Advanced Server 9.5
Expanding with EDB Postgres Advanced Server 9.5
 
MongoDB 2.6 is great but what about 2.8?
MongoDB 2.6 is great but what about 2.8?MongoDB 2.6 is great but what about 2.8?
MongoDB 2.6 is great but what about 2.8?
 
Webinar: Introduction to MongoDB 3.0
Webinar: Introduction to MongoDB 3.0Webinar: Introduction to MongoDB 3.0
Webinar: Introduction to MongoDB 3.0
 
MongoDB 3.2 Feature Preview
MongoDB 3.2 Feature PreviewMongoDB 3.2 Feature Preview
MongoDB 3.2 Feature Preview
 
Running MongoDB 3.0 on AWS
Running MongoDB 3.0 on AWSRunning MongoDB 3.0 on AWS
Running MongoDB 3.0 on AWS
 
MySQL Performance Tuning at COSCUP 2014
MySQL Performance Tuning at COSCUP 2014MySQL Performance Tuning at COSCUP 2014
MySQL Performance Tuning at COSCUP 2014
 
Webinar: High Performance MongoDB Applications with IBM POWER8
Webinar: High Performance MongoDB Applications with IBM POWER8Webinar: High Performance MongoDB Applications with IBM POWER8
Webinar: High Performance MongoDB Applications with IBM POWER8
 
Mongo db 3.4 Overview
Mongo db 3.4 OverviewMongo db 3.4 Overview
Mongo db 3.4 Overview
 
Neuerungen in EDB Postgres 11
Neuerungen in EDB Postgres 11Neuerungen in EDB Postgres 11
Neuerungen in EDB Postgres 11
 
MySQL Day Paris 2018 - MySQL InnoDB Cluster; A complete High Availability sol...
MySQL Day Paris 2018 - MySQL InnoDB Cluster; A complete High Availability sol...MySQL Day Paris 2018 - MySQL InnoDB Cluster; A complete High Availability sol...
MySQL Day Paris 2018 - MySQL InnoDB Cluster; A complete High Availability sol...
 
Webinar: What's New in MongoDB 3.2
Webinar: What's New in MongoDB 3.2Webinar: What's New in MongoDB 3.2
Webinar: What's New in MongoDB 3.2
 

Mais 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
 

Mais 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...
 

Último

Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DaySri Ambati
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 

Último (20)

Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 

Introducing MongoDB 2.6

  • 2. 2 • Operations – MMS makes MongoDB as easy to run as it is to build • Enterprise-ready enhancements – Security – BI & Analytics • Improved queries – New protocol for write ops – Query plans – New operators – Full Text Search Our Biggest Release Ever
  • 3. Ops
  • 4. 4 Monitoring • MongoDB-specific metrics • Understand system health, alerting, etc.
  • 5. 5 Backup • Backup is hard – For large, sharded clusters • We make it simple
  • 6. 6 • 80% of downtime in all systems due to people/process errors • Upgrade: 30+ manual steps  1 click Automation
  • 7. 7 • Background index build on secondary • maxTimeMS() • usePowerOf2Sizes is default • New client-server protocol for writes – Bulk() write ops – Unordered = parallel execution – BulkWriteResult contains separate error for each op • Housekeeping for sharded clusters – cleanupOrphaned – mergeChunks Server Side Ops Improvements
  • 9. 9 • What Enterprises Expect – Fine-grained control – Integration w/enterprise systems – Compliance Most Secure NoSQL Database
  • 10. 10 Business Needs Security Features Authentication In Database LDAP* Kerberos* x.509 Certificates* Authorization Built-in Roles User-Defined Roles Field Level Redaction (Partner Middleware) Auditing Write & Read Operations Admin Operations* Encryption Network: SSL (with FIPS 140-2)* Disk: Partner Solutions MongoDB Enterprise-Grade Security *Requires a MongoDB Subscription
  • 11. 11 • 2.4 stores users in each database • 2.6 stores all users in admin.system.users – Users are still scoped to a single db, but not stored in that db • Be careful when upgrading – http://docs.mongodb.org/manual/release-notes/2.6-compatibility Incompatible change!
  • 13. 13 • Simpler ad-hoc queries • Existing Indexes can be combined to optimize a query – Less Index Maintenance – Smaller Working Set – Lower Write Overhead – More Adaptive Index Intersection
  • 14. 14 • Cursors back for results – No limit on output size • $out for Aggregation – Write results sets to a named collection Pipelined Data Transformations
  • 15. 15 • $project operator in the aggregation pipeline now supports an expanded set of expressions $setIsSubset $setEquals $setDifference $setIntersection $setUnion $allElementsTrue $anyElementTrue New Set Operators
  • 16. 16 BI & ETL ecosystem
  • 19. 19 • Builtin feature – No need to copy data to Solr/ElasticSearch • Aggregation framework supported • 15 languages supported – stopwords, stemming Builtin, easy to use, search
  • 21. 21 • New Geometry objects – MultiPoint – MultiLineString – MultiPolygon – GeometryCollection Geo-spatial improvements