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• What and Why MongoDB
• How we bring value to you(r clients)
• Demo Demo Demo
Intelligently put data
where you want it
Best way to work
with data
Freedom to run
anywhere
Fully Transactional Operational Database
3
The document model: a different way of representing data
Tabular (Relational) Data Model
Related data split across multiple records and tables
Document Data Model
Related data contained in a single, rich document
{
"_id" : ObjectId("5ad88534e3632e1a35a58d00"),
"name" : {
"first" : "John",
"last" : "Doe" },
"address" : [
{ "location" : "work",
"address" : {
"street" : "16 Hatfields",
"city" : "London",
"postal_code" : "SE1 8DJ"},
"geo" : { "type" : "Point", "coord" : [
51.5065752,-0.109081]}},
+ {...}
],
"phone" : [
{ "location" : "work",
"number" : "+44-1234567890"},
+ {...}
],
"dob" : ISODate("1977-04-01T05:00:00Z"),
"retirement_fund" : NumberDecimal("1292815.75")
}
Adapt and make changes quickly
Flexible
Achieve great performance without a lot of work
Fast
Support a wide variety of data and queries
Versatile
Work with data in a natural, intuitive way
Easy
MongoDB: The Best Way To Work With Data
5
Versatile: Multiple data models, rich query functionality
Rich Queries
Point | Range | Geospatial | Faceted Search | Aggregations | JOINs | Graph Traversals
JSON Documents Tabular Key-Value Text GraphGeospatial
MongoDB: Intelligently Place Data Where You Want It
LocalityScalabilityAvailability
Workload
Isolation
deliver globally
resilient platform
through sophisticated
replication and failover
grow horizontally
through native
sharding
run operational and
analytical workloads in
the same cluster
place data in specific
geographies for
governance, class of
service, and low-
latency access
MongoDB: Freedom To Run Anywhere
Local
On-premises
Server & Mainframe Private cloud
Fully managed cloud service
Hybrid cloud Public cloud
• Avoid lock-in
• Global coverage
• Leverage benefits of multi-cloud
strategy
• Database that runs the same
everywhere
Self-service, elastic,
and automated
Secure by defaultGlobal and highly
available
Continuous
backups
Real-time monitoring and
optimization
Cloud agnostic
MongoDB: Database As A Service – MongoDB Atlas
Enterprise Tools & Features
MongoDB Connector for BIMongoDB Compass
Schema Visualization
Data Exploration
Ad-Hoc Queries & Aggregation
Builder
Visualization
Analysis
Reporting
Security Features
AuditingAuthentication Authorization
MongoDB Charts
Real-time Visualizations
Share Dashboards
Streamline Data Analysis &
Reporting
MongoDB Mobile
Service Integrations
REST API
Data access control &
functions
Encryption: in flight & at-rest
(storage volume)
Management Tooling: Ops Manager - Cloud Manager - Atlas - RESTful API
The evolution of MongoDB
3.0 3.2
Document Validation
$lookup
Fast Failover
Simpler Scalability
Aggregation ++
Encryption At Rest
In-Memory Storage Engine
BI Connector
MongoDB Compass
APM Integration
Profiler Visualization
Auto Index Builds
Backups to File System
Doc-Level
Concurrency
Compression
Storage Engine API
≤50 replicas
Auditing ++
Ops Manager
Linearizable reads
Intra-cluster compression
Views
Log Redaction
Graph Processing
Decimal
Collations
Faceted Navigation
Zones ++
Aggregation ++
Auto-balancing ++
ARM, Power, zSeries
BI & Spark Connectors ++
Compass ++
Hardware Monitoring
Server Pool
LDAP Authorization
Encrypted Backups
Cloud Foundry Integration
3.4 3.6
Change Streams
Retryable Writes
Expressive Array Updates
Query Expressivity
Causal Consistency
Consistent Sharded Sec. Reads
Compass Community
Ops Manager ++
Query Advisor
Schema Validation
End to End Compression
IP Whitelisting
Default Bind to Localhost
Sessions
WiredTiger 1m+ Collections
MongoDB BI Connector ++
Expressive $lookUp
R Driver
Atlas Cross Region Replication
Atlas Auto Storage Scaling
4.0
Multi-Document ACID Transactions
Atlas Global Clusters
Atlas HIPAA
Atlas LDAP
Atlas Audit
Atlas Encrypted Storage Engine
Atlas AWS Backup Snapshots
Atlas Full CRUD
Agg Pipeline Type Conversions
40% Faster Shard Migrations
Snapshot Reads
Non-Blocking Secondary Reads
SHA-2
TLS 1.1+
Compass Agg Pipeline Builder
Compass Export to Code
Charts Beta
Free Monitoring Cloud Service
Ops Manager K8s & OpenShift
MongoDB Stitch GA
MongoDB Mobile Beta
Summary: MongoDB UNIQUELY Delivers…...
Scale-out, data locality, and
resilience of distributed systems
ACID transactional guarantees
on any scale
Developer productivity
of open source document
databases
Freedom to Run Anywhere
Time for a demo.
https://www.mongodb.com/meetatlas
Get started with Atlas using a 200$ USD promo code! https://www.mongodb.com/meetatlas
Architecture Book Club Recommended reading: https://www.mongodb.com
Visit our booth for goodies!
14
Contact Details
{
"name": "Sander De Vos",
"email": "sander.devos@mongodb.com",
"linkedin": "https://www.linkedin.com/in/dvsander/",
"motto": "what - why - how",
"location": "Brussels, Belgium",
"career" : [{
"from": new Date("2006-09-01"),
"role": "Software Developer"
},{
"from": new Date("2013-09-01"),
"role": "Lead Solutions Architect Cloud",
"employer": "Capgemini Belgium"
},{
"from": new Date("2018-07-01"),
"role": "Solutions Architect",
"employer": "MongoDB"
}
]
}

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10 - MongoDB

  • 1. 14:10 - 14:50 • What and Why MongoDB • How we bring value to you(r clients) • Demo Demo Demo
  • 2. Intelligently put data where you want it Best way to work with data Freedom to run anywhere Fully Transactional Operational Database
  • 3. 3 The document model: a different way of representing data Tabular (Relational) Data Model Related data split across multiple records and tables Document Data Model Related data contained in a single, rich document { "_id" : ObjectId("5ad88534e3632e1a35a58d00"), "name" : { "first" : "John", "last" : "Doe" }, "address" : [ { "location" : "work", "address" : { "street" : "16 Hatfields", "city" : "London", "postal_code" : "SE1 8DJ"}, "geo" : { "type" : "Point", "coord" : [ 51.5065752,-0.109081]}}, + {...} ], "phone" : [ { "location" : "work", "number" : "+44-1234567890"}, + {...} ], "dob" : ISODate("1977-04-01T05:00:00Z"), "retirement_fund" : NumberDecimal("1292815.75") }
  • 4. Adapt and make changes quickly Flexible Achieve great performance without a lot of work Fast Support a wide variety of data and queries Versatile Work with data in a natural, intuitive way Easy MongoDB: The Best Way To Work With Data
  • 5. 5 Versatile: Multiple data models, rich query functionality Rich Queries Point | Range | Geospatial | Faceted Search | Aggregations | JOINs | Graph Traversals JSON Documents Tabular Key-Value Text GraphGeospatial
  • 6. MongoDB: Intelligently Place Data Where You Want It LocalityScalabilityAvailability Workload Isolation deliver globally resilient platform through sophisticated replication and failover grow horizontally through native sharding run operational and analytical workloads in the same cluster place data in specific geographies for governance, class of service, and low- latency access
  • 7. MongoDB: Freedom To Run Anywhere Local On-premises Server & Mainframe Private cloud Fully managed cloud service Hybrid cloud Public cloud • Avoid lock-in • Global coverage • Leverage benefits of multi-cloud strategy • Database that runs the same everywhere
  • 8. Self-service, elastic, and automated Secure by defaultGlobal and highly available Continuous backups Real-time monitoring and optimization Cloud agnostic MongoDB: Database As A Service – MongoDB Atlas
  • 9. Enterprise Tools & Features MongoDB Connector for BIMongoDB Compass Schema Visualization Data Exploration Ad-Hoc Queries & Aggregation Builder Visualization Analysis Reporting Security Features AuditingAuthentication Authorization MongoDB Charts Real-time Visualizations Share Dashboards Streamline Data Analysis & Reporting MongoDB Mobile Service Integrations REST API Data access control & functions Encryption: in flight & at-rest (storage volume) Management Tooling: Ops Manager - Cloud Manager - Atlas - RESTful API
  • 10. The evolution of MongoDB 3.0 3.2 Document Validation $lookup Fast Failover Simpler Scalability Aggregation ++ Encryption At Rest In-Memory Storage Engine BI Connector MongoDB Compass APM Integration Profiler Visualization Auto Index Builds Backups to File System Doc-Level Concurrency Compression Storage Engine API ≤50 replicas Auditing ++ Ops Manager Linearizable reads Intra-cluster compression Views Log Redaction Graph Processing Decimal Collations Faceted Navigation Zones ++ Aggregation ++ Auto-balancing ++ ARM, Power, zSeries BI & Spark Connectors ++ Compass ++ Hardware Monitoring Server Pool LDAP Authorization Encrypted Backups Cloud Foundry Integration 3.4 3.6 Change Streams Retryable Writes Expressive Array Updates Query Expressivity Causal Consistency Consistent Sharded Sec. Reads Compass Community Ops Manager ++ Query Advisor Schema Validation End to End Compression IP Whitelisting Default Bind to Localhost Sessions WiredTiger 1m+ Collections MongoDB BI Connector ++ Expressive $lookUp R Driver Atlas Cross Region Replication Atlas Auto Storage Scaling 4.0 Multi-Document ACID Transactions Atlas Global Clusters Atlas HIPAA Atlas LDAP Atlas Audit Atlas Encrypted Storage Engine Atlas AWS Backup Snapshots Atlas Full CRUD Agg Pipeline Type Conversions 40% Faster Shard Migrations Snapshot Reads Non-Blocking Secondary Reads SHA-2 TLS 1.1+ Compass Agg Pipeline Builder Compass Export to Code Charts Beta Free Monitoring Cloud Service Ops Manager K8s & OpenShift MongoDB Stitch GA MongoDB Mobile Beta
  • 11. Summary: MongoDB UNIQUELY Delivers…... Scale-out, data locality, and resilience of distributed systems ACID transactional guarantees on any scale Developer productivity of open source document databases Freedom to Run Anywhere
  • 12. Time for a demo. https://www.mongodb.com/meetatlas
  • 13. Get started with Atlas using a 200$ USD promo code! https://www.mongodb.com/meetatlas Architecture Book Club Recommended reading: https://www.mongodb.com Visit our booth for goodies!
  • 14. 14 Contact Details { "name": "Sander De Vos", "email": "sander.devos@mongodb.com", "linkedin": "https://www.linkedin.com/in/dvsander/", "motto": "what - why - how", "location": "Brussels, Belgium", "career" : [{ "from": new Date("2006-09-01"), "role": "Software Developer" },{ "from": new Date("2013-09-01"), "role": "Lead Solutions Architect Cloud", "employer": "Capgemini Belgium" },{ "from": new Date("2018-07-01"), "role": "Solutions Architect", "employer": "MongoDB" } ] }