SlideShare ist ein Scribd-Unternehmen logo
1 von 36
Downloaden Sie, um offline zu lesen
Distributed Transactions: with Great
Power Comes Great Responsibility
Alyson Cabral, Product Manager
@aly_cabral
I know what you’re thinking…
@aly_cabral
But, Really…
MongoDB Transactions are ACID Compliant
(yes, even across shards)
@aly_cabral
Transactions make application
development easier
1. Don’t need to worry about interim states
2. Rollback/Abort is handled automatically
3. Point-in-time consistency
@aly_cabral
def insertDocuments(s):
s.client.db.col.insert_one({'abc': 1}, session=s)
s.client.db.col.insert_one({'xyz': 999}, session=s)
with client.start_session() as s:
s.with_transaction(insertDocuments);
New API in MongoDB 4.2!
@aly_cabral
Transactions Guarantees
@aly_cabral
Multi- Collection
Database
Statement
Document
Shard
@aly_cabral
All or Nothing Execution
TXN
Application
MongoDB
Uncommitted Writes
{ Document 1 } { Document 2 }
{ Document 3 }
Committed Writes
@aly_cabral
Snapshot Isolation
100 101 102 103 104 105 106 107 108 109 110 111
Snapshot
102
Snapshot
108
@aly_cabral
Read Your Own Writes
Operation
Read
TXN
{_id: “OWNER12345”,
name: { first: “Aly”,
last: “Cabral”},
accountType: “Paid”,
pets: [ { type: “Dog”,
name: “Lady”}],
contact: { phoneNumber: 8008675309},
Address: { city: “New York”,
street: “94th”,
zipecode: 10025}}
Uncommitted Writes
street: “92nd”
Address.street = 94th
Address.street = 92nd
@aly_cabral
Transactions Guidelines
@aly_cabral
1) All data modeling rules still apply
2) Transactions should not be the most common
operation (sanity check for rule 1)
3) Pass in the session to all statements
4) Implement retry logic, transactions can always
abort
5) Don’t unnecessarily leave snapshots open
6) To trigger write conflicts, make sure you’re doing
writes
7) Plan for DDL Operations
@aly_cabral
Distributed Transactions Workflow
@aly_cabral
Majority Writes
No Arbiters!
@aly_cabral
P
S
S
S
S
Participant
any shard that executes operations on behalf of a
given transaction
Coordinator
A single shard that is responsible for coordinating
the commit across shards for a given transaction
@aly_cabral
P
S
S
S
P
S
Query Router
Insert {_id : “abc”}Insert {_id : “xyz”}
Coordinator!
Commit transaction
@aly_cabral
“ We see at least 2x performance
improvement when running MongoDB
transactions vs logic on our own, in-
app”
Imagine a world without transactions
@aly_cabral
For even better perf results… collocate the data
@aly_cabral
If you cannot collocate, write to a single shard
@aly_cabral
READS WRITESREADS
Read Isolation
@aly_cabral
READ CONCERN = READ ISOLATION
Options: LOCAL, MAJORITY,
SNAPSHOT, LINEARIZABLE
Fun Fact: ReadConcern: Majority does not need to
coordinate across nodes to return results!
@aly_cabral
Read Concern: Snapshot
P
S
S
P
S
S
P
S
S
time: 102
Majority
or
Local
time: 102 time: 110 time: 104
@aly_cabral
Locking
@aly_cabral
@aly_cabral
TXN
Write
TXN
Write
{Doc 1}
TXN write is unable to obtain a write lock!
TXN is ABORTED
rolledback entirely
@aly_cabral
TXN
Write
Operation
Non-Transactional Write
{Doc 1}
Operation Blocks Behind TXN Commit
Infinitely retries with Backoff Logic until MaxTimeMS is reached
Operation non-transactional write is unable to obtain a write lock!
@aly_cabral
When non-transactional writes encounter
write conflicts
Operation Blocks Behind TXN Commit
Infinitely retries with Backoff Logic until MaxTimeMS is reached
When transactions encounter write
conflicts
Transactions abort
rollback entirely
@aly_cabral
TXN
Read
TXN
Write
{Doc 1}
Reads do not lock a document from being modified
Only writes make write conflicts
More New Functionality in 4.2
@aly_cabral
Transactions Larger than 16MB
In MongoDB 4.0:
@aly_cabral
{<statement 1>}
{<statement 2>}
{<statement 3>}
{<statement 4>}
In MongoDB 4.2:
{<statement 1>,
<statement 2>,
<statement 3>,
<statement 4>}
This does not mean you can have
infinitely large transactions --
• WT still has to maintain the history since the snapshot
time
• Transactions have the same snapshot throughout the
duration of the transaction
• Transactions automatically abort after 60 seconds –
TUNABLE. transactionLifetimeLimitSeconds
@aly_cabral
Mutable Shard Key Values
Tiered storage: Aging out older documents to low cost
storage shard
• Global-redistribution: Rehoming documents to a new
region
@aly_cabral
ShardShard
• Use MongoDB 4.2 drivers
• Transactions targeting a single shard will be faster than those
spanning multiple shards
• Best practice: No more than 1,000 documents modified in a
single transaction
• No arbiters
• Chunk migrations will block behind running transactions
@aly_cabral
Parting Wisdom
ATLAS CODE:
MONGODB4DOT2
@aly_cabral
• Free ▪ Online ▪ 9 Chapters
• Register Now! - https://university.mongodb.com/courses/M042/about
@aly_cabral
Thank You!
MongoDB. local Houston 2019: Distributed Transactions: With Great Power Comes Great Responsibility [MongoDB]

Weitere ähnliche Inhalte

Was ist angesagt?

Microservices on .NET
Microservices on .NETMicroservices on .NET
Microservices on .NETVitaly Baum
 
Cortex: Prometheus as a Service, One Year On
Cortex: Prometheus as a Service, One Year OnCortex: Prometheus as a Service, One Year On
Cortex: Prometheus as a Service, One Year OnKausal
 
Perfug 20-11-2019 - Kafka Performances
Perfug 20-11-2019 - Kafka PerformancesPerfug 20-11-2019 - Kafka Performances
Perfug 20-11-2019 - Kafka PerformancesFlorent Ramiere
 
Become Thanos of the LambdaLand: Wield all the Infinity Stones
Become Thanos of the LambdaLand: Wield all the Infinity StonesBecome Thanos of the LambdaLand: Wield all the Infinity Stones
Become Thanos of the LambdaLand: Wield all the Infinity StonesSrushith Repakula
 
Things you wish you never knew about the Prometheus Remote Write API.
Things you wish you never knew about the Prometheus Remote Write API.Things you wish you never knew about the Prometheus Remote Write API.
Things you wish you never knew about the Prometheus Remote Write API.Kausal
 
Greyhound - Powerful Pure Functional Kafka Library
Greyhound - Powerful Pure Functional Kafka LibraryGreyhound - Powerful Pure Functional Kafka Library
Greyhound - Powerful Pure Functional Kafka LibraryNatan Silnitsky
 
Solutions for bi-directional Integration between Oracle RDMBS & Apache Kafka
Solutions for bi-directional Integration between Oracle RDMBS & Apache KafkaSolutions for bi-directional Integration between Oracle RDMBS & Apache Kafka
Solutions for bi-directional Integration between Oracle RDMBS & Apache KafkaGuido Schmutz
 
Devoxx university - Kafka de haut en bas
Devoxx university - Kafka de haut en basDevoxx university - Kafka de haut en bas
Devoxx university - Kafka de haut en basFlorent Ramiere
 
Apache Kafka - Patterns anti-patterns
Apache Kafka - Patterns anti-patternsApache Kafka - Patterns anti-patterns
Apache Kafka - Patterns anti-patternsFlorent Ramiere
 
Via Varejo taking data from legacy to a new world at Brazil Black Friday (Mar...
Via Varejo taking data from legacy to a new world at Brazil Black Friday (Mar...Via Varejo taking data from legacy to a new world at Brazil Black Friday (Mar...
Via Varejo taking data from legacy to a new world at Brazil Black Friday (Mar...confluent
 
Graphs: Fabric of DevOps
Graphs: Fabric of DevOpsGraphs: Fabric of DevOps
Graphs: Fabric of DevOpsNeo4j
 
Apache Incubator Samza: Stream Processing at LinkedIn
Apache Incubator Samza: Stream Processing at LinkedInApache Incubator Samza: Stream Processing at LinkedIn
Apache Incubator Samza: Stream Processing at LinkedInChris Riccomini
 
Serverless GraphQL. AppSync 101
Serverless GraphQL. AppSync 101Serverless GraphQL. AppSync 101
Serverless GraphQL. AppSync 101Marcin Sodkiewicz
 
Kafka Summit NYC 2017 - Data Processing at LinkedIn with Apache Kafka
Kafka Summit NYC 2017 - Data Processing at LinkedIn with Apache KafkaKafka Summit NYC 2017 - Data Processing at LinkedIn with Apache Kafka
Kafka Summit NYC 2017 - Data Processing at LinkedIn with Apache Kafkaconfluent
 
JavaDay Lviv: Serverless Archtiectures
JavaDay Lviv: Serverless ArchtiecturesJavaDay Lviv: Serverless Archtiectures
JavaDay Lviv: Serverless ArchtiecturesAntons Kranga
 
Docker Container automatisiert nach AWS deployen - Continuous Lifecycle 2016
Docker Container automatisiert nach AWS deployen  - Continuous Lifecycle 2016Docker Container automatisiert nach AWS deployen  - Continuous Lifecycle 2016
Docker Container automatisiert nach AWS deployen - Continuous Lifecycle 2016Philipp Garbe
 
Securing the Message Bus with Kafka Streams | Paul Otto and Ryan Salcido, Raf...
Securing the Message Bus with Kafka Streams | Paul Otto and Ryan Salcido, Raf...Securing the Message Bus with Kafka Streams | Paul Otto and Ryan Salcido, Raf...
Securing the Message Bus with Kafka Streams | Paul Otto and Ryan Salcido, Raf...HostedbyConfluent
 
Lagom - Mircoservices "Just Right"
Lagom - Mircoservices "Just Right"Lagom - Mircoservices "Just Right"
Lagom - Mircoservices "Just Right"Markus Jura
 

Was ist angesagt? (20)

Microservices on .NET
Microservices on .NETMicroservices on .NET
Microservices on .NET
 
Cortex: Prometheus as a Service, One Year On
Cortex: Prometheus as a Service, One Year OnCortex: Prometheus as a Service, One Year On
Cortex: Prometheus as a Service, One Year On
 
Perfug 20-11-2019 - Kafka Performances
Perfug 20-11-2019 - Kafka PerformancesPerfug 20-11-2019 - Kafka Performances
Perfug 20-11-2019 - Kafka Performances
 
Become Thanos of the LambdaLand: Wield all the Infinity Stones
Become Thanos of the LambdaLand: Wield all the Infinity StonesBecome Thanos of the LambdaLand: Wield all the Infinity Stones
Become Thanos of the LambdaLand: Wield all the Infinity Stones
 
Things you wish you never knew about the Prometheus Remote Write API.
Things you wish you never knew about the Prometheus Remote Write API.Things you wish you never knew about the Prometheus Remote Write API.
Things you wish you never knew about the Prometheus Remote Write API.
 
Greyhound - Powerful Pure Functional Kafka Library
Greyhound - Powerful Pure Functional Kafka LibraryGreyhound - Powerful Pure Functional Kafka Library
Greyhound - Powerful Pure Functional Kafka Library
 
Serverless by examples and case studies
Serverless by examples and case studiesServerless by examples and case studies
Serverless by examples and case studies
 
Solutions for bi-directional Integration between Oracle RDMBS & Apache Kafka
Solutions for bi-directional Integration between Oracle RDMBS & Apache KafkaSolutions for bi-directional Integration between Oracle RDMBS & Apache Kafka
Solutions for bi-directional Integration between Oracle RDMBS & Apache Kafka
 
Devoxx university - Kafka de haut en bas
Devoxx university - Kafka de haut en basDevoxx university - Kafka de haut en bas
Devoxx university - Kafka de haut en bas
 
Apache Kafka - Patterns anti-patterns
Apache Kafka - Patterns anti-patternsApache Kafka - Patterns anti-patterns
Apache Kafka - Patterns anti-patterns
 
Via Varejo taking data from legacy to a new world at Brazil Black Friday (Mar...
Via Varejo taking data from legacy to a new world at Brazil Black Friday (Mar...Via Varejo taking data from legacy to a new world at Brazil Black Friday (Mar...
Via Varejo taking data from legacy to a new world at Brazil Black Friday (Mar...
 
Graphs: Fabric of DevOps
Graphs: Fabric of DevOpsGraphs: Fabric of DevOps
Graphs: Fabric of DevOps
 
Apache Incubator Samza: Stream Processing at LinkedIn
Apache Incubator Samza: Stream Processing at LinkedInApache Incubator Samza: Stream Processing at LinkedIn
Apache Incubator Samza: Stream Processing at LinkedIn
 
Serverless GraphQL. AppSync 101
Serverless GraphQL. AppSync 101Serverless GraphQL. AppSync 101
Serverless GraphQL. AppSync 101
 
Compute @ edge
Compute @ edgeCompute @ edge
Compute @ edge
 
Kafka Summit NYC 2017 - Data Processing at LinkedIn with Apache Kafka
Kafka Summit NYC 2017 - Data Processing at LinkedIn with Apache KafkaKafka Summit NYC 2017 - Data Processing at LinkedIn with Apache Kafka
Kafka Summit NYC 2017 - Data Processing at LinkedIn with Apache Kafka
 
JavaDay Lviv: Serverless Archtiectures
JavaDay Lviv: Serverless ArchtiecturesJavaDay Lviv: Serverless Archtiectures
JavaDay Lviv: Serverless Archtiectures
 
Docker Container automatisiert nach AWS deployen - Continuous Lifecycle 2016
Docker Container automatisiert nach AWS deployen  - Continuous Lifecycle 2016Docker Container automatisiert nach AWS deployen  - Continuous Lifecycle 2016
Docker Container automatisiert nach AWS deployen - Continuous Lifecycle 2016
 
Securing the Message Bus with Kafka Streams | Paul Otto and Ryan Salcido, Raf...
Securing the Message Bus with Kafka Streams | Paul Otto and Ryan Salcido, Raf...Securing the Message Bus with Kafka Streams | Paul Otto and Ryan Salcido, Raf...
Securing the Message Bus with Kafka Streams | Paul Otto and Ryan Salcido, Raf...
 
Lagom - Mircoservices "Just Right"
Lagom - Mircoservices "Just Right"Lagom - Mircoservices "Just Right"
Lagom - Mircoservices "Just Right"
 

Ähnlich wie MongoDB. local Houston 2019: Distributed Transactions: With Great Power Comes Great Responsibility [MongoDB]

MongoDB .local Bengaluru 2019: Distributed Transactions: With Great Power Com...
MongoDB .local Bengaluru 2019: Distributed Transactions: With Great Power Com...MongoDB .local Bengaluru 2019: Distributed Transactions: With Great Power Com...
MongoDB .local Bengaluru 2019: Distributed Transactions: With Great Power Com...MongoDB
 
MongoDB.local Sydney: How and When to Use Multi-Document Distributed Transact...
MongoDB.local Sydney: How and When to Use Multi-Document Distributed Transact...MongoDB.local Sydney: How and When to Use Multi-Document Distributed Transact...
MongoDB.local Sydney: How and When to Use Multi-Document Distributed Transact...MongoDB
 
MongoDB .local Munich 2019: Distributed Transactions: With Great Power Comes ...
MongoDB .local Munich 2019: Distributed Transactions: With Great Power Comes ...MongoDB .local Munich 2019: Distributed Transactions: With Great Power Comes ...
MongoDB .local Munich 2019: Distributed Transactions: With Great Power Comes ...MongoDB
 
RICON keynote: outwards from the middle of the maze
RICON keynote: outwards from the middle of the mazeRICON keynote: outwards from the middle of the maze
RICON keynote: outwards from the middle of the mazepalvaro
 
MongoDB.local Berlin: How and when to use multi-document transactions
MongoDB.local Berlin:  How and when to use multi-document transactionsMongoDB.local Berlin:  How and when to use multi-document transactions
MongoDB.local Berlin: How and when to use multi-document transactionsMongoDB
 
Error Handling with Kafka: From Patterns to Code
Error Handling with Kafka: From Patterns to CodeError Handling with Kafka: From Patterns to Code
Error Handling with Kafka: From Patterns to CodeHostedbyConfluent
 
Paris Kafka Meetup - patterns anti-patterns
Paris Kafka Meetup -  patterns anti-patternsParis Kafka Meetup -  patterns anti-patterns
Paris Kafka Meetup - patterns anti-patternsFlorent Ramiere
 
Site reliability in the Serverless age - Serverless Boston 2019
Site reliability in the Serverless age  - Serverless Boston 2019Site reliability in the Serverless age  - Serverless Boston 2019
Site reliability in the Serverless age - Serverless Boston 2019Erik Peterson
 
Scaling opensimulator inventory using nosql
Scaling opensimulator inventory using nosqlScaling opensimulator inventory using nosql
Scaling opensimulator inventory using nosqlDavid Daeschler
 
What Developers Need to Unlearn for High Performance NoSQL
What Developers Need to Unlearn for High Performance NoSQLWhat Developers Need to Unlearn for High Performance NoSQL
What Developers Need to Unlearn for High Performance NoSQLScyllaDB
 
Scaling Writes on CockroachDB with Apache NiFi
Scaling Writes on CockroachDB with Apache NiFiScaling Writes on CockroachDB with Apache NiFi
Scaling Writes on CockroachDB with Apache NiFiChris Casano
 
The free lunch is over
The free lunch is overThe free lunch is over
The free lunch is overThadeu Russo
 
Using chained transactions for maximum concurrency under load (QCONSF 2010)
Using chained transactions for maximum concurrency under load (QCONSF 2010)Using chained transactions for maximum concurrency under load (QCONSF 2010)
Using chained transactions for maximum concurrency under load (QCONSF 2010)Billy Newport
 
Pets vs. Cattle: The Elastic Cloud Story
Pets vs. Cattle: The Elastic Cloud StoryPets vs. Cattle: The Elastic Cloud Story
Pets vs. Cattle: The Elastic Cloud StoryRandy Bias
 
Introduction to Cassandra
Introduction to CassandraIntroduction to Cassandra
Introduction to Cassandraaaronmorton
 
MongoDB World 2018: How and When to Use Multi-Document Distributed Transactions
MongoDB World 2018: How and When to Use Multi-Document Distributed TransactionsMongoDB World 2018: How and When to Use Multi-Document Distributed Transactions
MongoDB World 2018: How and When to Use Multi-Document Distributed TransactionsMongoDB
 
Embulk - 進化するバルクデータローダ
Embulk - 進化するバルクデータローダEmbulk - 進化するバルクデータローダ
Embulk - 進化するバルクデータローダSadayuki Furuhashi
 

Ähnlich wie MongoDB. local Houston 2019: Distributed Transactions: With Great Power Comes Great Responsibility [MongoDB] (20)

MongoDB .local Bengaluru 2019: Distributed Transactions: With Great Power Com...
MongoDB .local Bengaluru 2019: Distributed Transactions: With Great Power Com...MongoDB .local Bengaluru 2019: Distributed Transactions: With Great Power Com...
MongoDB .local Bengaluru 2019: Distributed Transactions: With Great Power Com...
 
Transaction
TransactionTransaction
Transaction
 
MongoDB.local Sydney: How and When to Use Multi-Document Distributed Transact...
MongoDB.local Sydney: How and When to Use Multi-Document Distributed Transact...MongoDB.local Sydney: How and When to Use Multi-Document Distributed Transact...
MongoDB.local Sydney: How and When to Use Multi-Document Distributed Transact...
 
MongoDB .local Munich 2019: Distributed Transactions: With Great Power Comes ...
MongoDB .local Munich 2019: Distributed Transactions: With Great Power Comes ...MongoDB .local Munich 2019: Distributed Transactions: With Great Power Comes ...
MongoDB .local Munich 2019: Distributed Transactions: With Great Power Comes ...
 
RICON keynote: outwards from the middle of the maze
RICON keynote: outwards from the middle of the mazeRICON keynote: outwards from the middle of the maze
RICON keynote: outwards from the middle of the maze
 
MongoDB.local Berlin: How and when to use multi-document transactions
MongoDB.local Berlin:  How and when to use multi-document transactionsMongoDB.local Berlin:  How and when to use multi-document transactions
MongoDB.local Berlin: How and when to use multi-document transactions
 
Error Handling with Kafka: From Patterns to Code
Error Handling with Kafka: From Patterns to CodeError Handling with Kafka: From Patterns to Code
Error Handling with Kafka: From Patterns to Code
 
Paris Kafka Meetup - patterns anti-patterns
Paris Kafka Meetup -  patterns anti-patternsParis Kafka Meetup -  patterns anti-patterns
Paris Kafka Meetup - patterns anti-patterns
 
Site reliability in the Serverless age - Serverless Boston 2019
Site reliability in the Serverless age  - Serverless Boston 2019Site reliability in the Serverless age  - Serverless Boston 2019
Site reliability in the Serverless age - Serverless Boston 2019
 
Scaling opensimulator inventory using nosql
Scaling opensimulator inventory using nosqlScaling opensimulator inventory using nosql
Scaling opensimulator inventory using nosql
 
What Developers Need to Unlearn for High Performance NoSQL
What Developers Need to Unlearn for High Performance NoSQLWhat Developers Need to Unlearn for High Performance NoSQL
What Developers Need to Unlearn for High Performance NoSQL
 
Scaling Writes on CockroachDB with Apache NiFi
Scaling Writes on CockroachDB with Apache NiFiScaling Writes on CockroachDB with Apache NiFi
Scaling Writes on CockroachDB with Apache NiFi
 
Cocoa heads 09112017
Cocoa heads 09112017Cocoa heads 09112017
Cocoa heads 09112017
 
The free lunch is over
The free lunch is overThe free lunch is over
The free lunch is over
 
Using chained transactions for maximum concurrency under load (QCONSF 2010)
Using chained transactions for maximum concurrency under load (QCONSF 2010)Using chained transactions for maximum concurrency under load (QCONSF 2010)
Using chained transactions for maximum concurrency under load (QCONSF 2010)
 
Pets vs. Cattle: The Elastic Cloud Story
Pets vs. Cattle: The Elastic Cloud StoryPets vs. Cattle: The Elastic Cloud Story
Pets vs. Cattle: The Elastic Cloud Story
 
Introduction to Cassandra
Introduction to CassandraIntroduction to Cassandra
Introduction to Cassandra
 
Mysql Latency
Mysql LatencyMysql Latency
Mysql Latency
 
MongoDB World 2018: How and When to Use Multi-Document Distributed Transactions
MongoDB World 2018: How and When to Use Multi-Document Distributed TransactionsMongoDB World 2018: How and When to Use Multi-Document Distributed Transactions
MongoDB World 2018: How and When to Use Multi-Document Distributed Transactions
 
Embulk - 進化するバルクデータローダ
Embulk - 進化するバルクデータローダEmbulk - 進化するバルクデータローダ
Embulk - 進化するバルクデータローダ
 

Mehr von 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
 

Mehr von 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...
 

Kürzlich hochgeladen

Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
4. Cobus Valentine- Cybersecurity Threats and Solutions for the Public Sector
4. Cobus Valentine- Cybersecurity Threats and Solutions for the Public Sector4. Cobus Valentine- Cybersecurity Threats and Solutions for the Public Sector
4. Cobus Valentine- Cybersecurity Threats and Solutions for the Public Sectoritnewsafrica
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integrationmarketing932765
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Hiroshi SHIBATA
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsNathaniel Shimoni
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Nikki Chapple
 
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)Mark Simos
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 
React Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App FrameworkReact Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App FrameworkPixlogix Infotech
 
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...itnewsafrica
 
Infrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platformsInfrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platformsYoss Cohen
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical InfrastructureVarsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructureitnewsafrica
 
All These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFAll These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFMichael Gough
 
Landscape Catalogue 2024 Australia-1.pdf
Landscape Catalogue 2024 Australia-1.pdfLandscape Catalogue 2024 Australia-1.pdf
Landscape Catalogue 2024 Australia-1.pdfAarwolf Industries LLC
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
A Glance At The Java Performance Toolbox
A Glance At The Java Performance ToolboxA Glance At The Java Performance Toolbox
A Glance At The Java Performance ToolboxAna-Maria Mihalceanu
 
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesMuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesManik S Magar
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Alkin Tezuysal
 

Kürzlich hochgeladen (20)

Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
4. Cobus Valentine- Cybersecurity Threats and Solutions for the Public Sector
4. Cobus Valentine- Cybersecurity Threats and Solutions for the Public Sector4. Cobus Valentine- Cybersecurity Threats and Solutions for the Public Sector
4. Cobus Valentine- Cybersecurity Threats and Solutions for the Public Sector
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directions
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
 
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 
React Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App FrameworkReact Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App Framework
 
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
 
Infrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platformsInfrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platforms
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical InfrastructureVarsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
 
All These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFAll These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDF
 
Landscape Catalogue 2024 Australia-1.pdf
Landscape Catalogue 2024 Australia-1.pdfLandscape Catalogue 2024 Australia-1.pdf
Landscape Catalogue 2024 Australia-1.pdf
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
A Glance At The Java Performance Toolbox
A Glance At The Java Performance ToolboxA Glance At The Java Performance Toolbox
A Glance At The Java Performance Toolbox
 
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesMuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
 

MongoDB. local Houston 2019: Distributed Transactions: With Great Power Comes Great Responsibility [MongoDB]