1. MongoDB Making Government
Better Faster Smarter
Will LaForest
Senior Director, MongoDB Federal
will@mongodb.com
@WLaForest

2. 2
Don’t Need All 3 Vs to be Big DataDon’t Need All 3 Vs to be Big Data
Patient Records (volume, variety) PGD/Crowd Sourcing (variety)
Cyber (volume, velocity, variety)Asset Management (variety, velocity)

3. 3
Government Challenges
Many New Missions Citizen Expectations
Do More With LessFaster Time to Mission

4. 4
With the right tools the government can
•Build new applications not possible before
•Enhance service to citizens significantly
•Remove data redundancy
•Decrease time to mission
•Reduce cost
Big Data Is An OpportunityBig Data Is An Opportunity

5. MongoDB

6. 6
MongoDB
The leading NoSQL database
Document
Database
Open-
Source
General
Purpose

7. 7
4,000,000+4,000,000+
MongoDB DownloadsMongoDB Downloads
100,000+100,000+
Online Education RegistrantsOnline Education Registrants
20,000+20,000+
MongoDB User Group MembersMongoDB User Group Members
20,000+20,000+
MongoDB Days AttendeesMongoDB Days Attendees
15,000+15,000+
MongoDB Management Service (MMS) UsersMongoDB Management Service (MMS) Users
Global Community

8. 8
Indeed.com Trends
Top Job Trends
1.HTML 5
2.MongoDB
3.iOS
4.Android
5.Mobile Apps
6.Puppet
7.Hadoop
8.jQuery
9.PaaS
10.Social Media
Leading NoSQL Database
LinkedIn Job Skills
MongoDB
Competitor 1
Competitor 2
Competitor 3
Competitor 4
Competitor 5
All Others
Google Search
MongoDB
Competitor 1
Competitor 2
Competitor 3
Competitor 4
Jaspersoft Big Data Index
Direct Real-Time Downloads
MongoDB
Competitor 1
Competitor 2
Competitor 3

9. 9
To provide the best database for how we build and
run apps today
MongoDB Vision
Build
–New, complex, varying data
–Flexibility
–New languages
–Faster development
Run
–Big Data scalability
–Real-time
–Commodity hardware
–Cloud

10. 10
Agility
How?
Scalability
$
Value

11. 11
RDBMS
Agility – Document Oriented Model
MongoDB
{
_id : ObjectId("4c4ba5e5e8aabf3"),
employee_name: "Dunham, Justin",
department : "Marketing",
title : "Product Manager, Web",
report_up: "Neray, Graham",
pay_band: “C",
benefits : [
{ type : "Health",
plan : "PPO Plus" },
{ type : "Dental",
plan : "Standard" }
]
}

12. 12
• MongoDB does not need any pre-defined data schema.
• Every document could have different data
Agility – Dynamic SchemaAgility – Dynamic Schema
{name: “jeff”,
eyes: “blue”,
height: 72,
boss: “ben”}
{name: “brendan”,
aliases: [“el diablo”]}
{name: “ben”,
hat: ”yes”}
{name: “matt”,
pizza: “DiGiorno”,
height: 74,
boss: 555.555.1212}
{name: “will”,
eyes: “blue”,
birthplace: “NY”,
aliases: [“bill”, “la
ciacco”],
gender: ”???”,
boss: ”ben”}

13. 13
Agility – Rich Query and Aggregation
{
object: ‘M1 Abrahms 3123’,
type: ‘Armored Vehicle’,
owner: ‘5th Armored’,
location: [45.123,47.232],
current_range: 245
armament: [
{ model: ‘105mm M68A1’,
type: ‘Rifled Cannon’,
range: 100000, … },
{ model: ‘120mm M256’,
type: ‘Smooth Bore Cannon’}],
crew: [ {name: ‘Paul’, …
weight: 126000,
equipment: […
desc: “This unit is highly …
}
Rich Queries
• Find all armored vehicle under 64 tons
with a smooth bore cannon and a crew
member with IED removal training
Geospatial
• Find all units within a 220 mile radius of
a position with transport capacity of 20
sorted by proximity
Text Search • Find all units having Arabic mentioned
Aggregation
• Calculate the average range of units
within the Afghanistan Theater of
Operation
Map Reduce
• Find correlations between co-located
units and mission casualties

14. 14
• Organization focused on mobile development
• Many apps geospatially enabled
• Agile development, SCRUM
• Originally Native/Java Services/PostGRES
• Moved to Native/Node.JS/MongoDB
Use Case: Mobile Development
• Constant model changes
• JSON throughout
• Development velocity was
more than doubled

15. 15
• Executive order for agencies to open data
• History of MongoDB as back end for data services
• Data services expose data in JSON/XML
• Existing tools lack flexibility and scalability
• We are seeing powerful and scalable platforms built on top of
MongoDB
• Platform doesn’t need to know or care what the data looks like
• http://cfpb.github.io/qu/
Use Case: Open Data Initiative

16. 16
Agility – Native Language Drivers
Shell
Command-line shell for
interacting directly with
database
Drivers
Drivers for most popular
programming languages and
frameworks
> db.collection.insert({company:“10gen”, product:“MongoDB”})
>
> db.collection.findOne()
{
“_id”: ObjectId(“5106c1c2fc629bfe52792e86”),
“company”: “10gen”
“product”: “MongoDB”
}
Java
Python
Perl
Ruby
Haskell
JavaScript

17. 17
Better Data
Locality
Scale - Performance
In-Memory
Caching
In-Place
Updates

18. 18
Scale – Auto-Sharding
Auto-Sharding
• Increase capacity as you go
• Commodity and cloud architectures
• Improved operational simplicity and cost visibility

19. 19
Scale – HA & Replication
• Automated replication and failover
• Multi-data center support
• Improved operational simplicity (e.g., HW swaps)
• Data durability

20. 20
Scale - Global Data Distribution
Real-time
Real-time Real-time
Real-time
Real-time
Real-time
Real-time

21. 21
Scale - Read Global/Write Local
Primary:NYC
Secondary:NYC
Primary:LON
Primary:SYD
Secondary:LON
Secondary:NYC
Secondary:SYD
Secondary:LON
Secondary:SYD

22. 22
• Project in the IC
• Needle in the haystack for
changing datasets
Use Case: The Graveyard
• 7 previous technologies
• Speed in ingestion, simple and agile usage
• 500k TPS over 50 nodes
• Breadth of querying and indexing important
• Millions saved in total cost

23. 23
Developer/Ops Savings
•Ease of Use
•Agile development
•Less maintenance
Hardware Savings
•Commodity servers
•Internal storage (no SAN)
•Scale out, not up
Software/Support Savings
•No upfront license
•Cost visibility for usage growth
Value - Lower TCO
DB Alternative

24. 24
• MongoDB a great fit for many problems in
Healthcare
• Lots of document oriented data already
• Complex, varying, unstructured data
• $10 Billion non-profit health conglomerate
• Insurance companies
• RelayHealth
• Usage within the VA
• popHealth
• Cypress
Use Case: Healthcare

25. 25
MongoDB Products and Services
Training
Online and In-Person for Developers and Administrators
MongoDB Management Service (MMS)
Cloud-Based Suite of Services for Managing MongoDB Deployments
Subscriptions
MongoDB Enterprise, MMS (On-Prem), Professional Support,
Commercial License
Consulting
Expert Resources for All Phases of MongoDB Implementations