Hear How Government Agencies are Using MongoDB to Build Data as a Service Solutions.

1. #MongoDB
Data as a Service:
How Government Agencies are
Using MongoDB to Build DaaS
Solutions
Dave Erickson
david.erickson@mongodb.com
Senior Solutions Architect, MongoDB

2. MongoDB
The Modern Operational Database
2
General
Purpose
Open-
Source
Real-time Document
Oriented

3. The MongoDB Company
3
400+ employees 1000+ customers
13 offices around the world Over $230 million in funding

4. DB-Engines.com Ranks DB Popularity
4

5. MongoDB Partners (400+) &
Integration
5
Software & Services
Cloud & Channel Hardware

6. MongoDB Use Cases
Big Data Product & Asset
6
Catalogs
Security &
Fraud
Internet of
Things
Database-as-a-
Service
Mobile
Apps
Customer Data
Management
Top Investment and
Retail Banks
Single View Social &
Collaboration
Content
Management
Intelligence Agencies
Top Global Shipping
Company
Top Industrial Equipment
Manufacturer
Top Media Company
Top Investment and
Retail Banks

7. Document Data Model
Relational MongoDB
7
{
first_name: ‘Paul’,
surname: ‘Miller’,
city: ‘London’,
location: [45.123,47.232],
cars: [
{ model: ‘Bentley’,
year: 1973,
value: 100000, … },
{ model: ‘Rolls Royce’,
year: 1965,
value: 330000, … }
]
}

8. Fully Featured
8
MongoDB
{
first_name: ‘Paul’,
surname: ‘Miller’,
city: ‘London’,
location: [45.123,47.232],
cars: [
{ model: ‘Bentley’,
year: 1973,
value: 100000, … },
{ model: ‘Rolls Royce’,
year: 1965,
value: 330000, … }
}
}
Rich Queries
• Find Paul’s cars
• Find everybody in London with a car
built between 1970 and 1980
Geospatial
• Find all of the car owners within 5km of
Trafalgar Sq.
Text Search
• Find all the cars described as having
leather seats
Aggregation
• Calculate the average value of Paul’s
car collection
Native Indexes
• Secondary
• Compound
• Geospatial
• Full Text
• Hash
• Covering

9. Designed for Durability, Performance & Scale
Durability
9
and
Availability
Performance and Scale

10. MongoDB Business Value
10
Enabling New Apps Better Customer Experience
Faster Time to Mission Lower TCO

11. First a bit of History

12. 1940’s

13. 1960’s

14. “On the one hand information wants to be
expensive, because it's so valuable. The right
information in the right place just changes your
life.
On the other hand, information wants to be free,
because the cost of getting it out is getting
lower and lower all the time. So you have these
two fighting against each other.”
Commonly attributed as comment by
Stewart Brand to Steve Wozniak at the first
Hackers Conference in 1984

15. Open Data Executive Order
15

19. Government Data as a Service

20. Innovation means EVOLUTION
• Applications coupled to Data Islands
• Batch Data Warehouses
• Service Oriented
20
– Exposing remote procedure calls via Web technologies
• Resource Oriented
– Web addressable content and data
• Data Lakes
• X - as - a – Service
THESE ARE TOOLS FOR EXECUTING MISSION!
Not necessarily aligned with objectives

21. Data as a Service
• Data Centric Approach
21
– Data as the focus and product of your business
– Data at the center of your architecture
– Decouple infrastructure from schema and format
– No Apps?, Multiple Apps?, 1 Killer App?

22. Data as a Service
• Combines strengths of recent technology trends
22
– Enterprise controls of Service Oriented
– Ease of consumption Resource Oriented
– Elastic Scale of Cloud / Virtual Computing
– Platform Independence, Non Proprietary Data Format
• Reusable / Transferable Infrastructure
enables
Repeatable Success

23. Use Cases and Examples with
MongoDB

24. Use Cases
• VA VLER
24
– Data as a central service
• CFPB
– Open Data Initiatives
• FCC
– Crowd Sourced Mobile Speed Tests
• City of Chicago
– Predictive analytics improve city services

25. Veterans Affairs VLER
• Virtual Lifetime Electronic Record
• Challenge
25
– Growing and evolving cyber threats
– Transformation of the healthcare industry
– Increasing pressure on federal budgets
– Greater number of Veterans receiving and using Benefits
• Multidirectional data sharing
– Within the VA & with other Agencies (DoD)
– Healthcare and Benefit providers
– Veterans and other beneficiaries
http://www.va.gov/vler/

26. Veterans Affairs VLER
26

27. Veterans Affairs VLER
• eCRUD Service
27
– Efficiency, Security, Agility
– Abstract data from platform
– Schema Agnostic
– Enable Rapid Application Development
– No Server Side Coding
• Extensive Security Engineering
– Best practices in use of MongoDB security features
– Hardening guides
– http://www.mongodb.com/lp/contact/stig-requests

28. Consumer Financial
Protection Bureau
• Protect Consumers
28
– Making data about consumer banking, credit cards,
consumer financial products available
• CFPB open data platform: qu
– Written in Clojure
– MongoDB backend
– https://github.com/cfpb/qu

29. Consumer Financial
Protection Bureau - HMDA
29
http://www.consumerfinance.gov/hmda/

31. FCC - Mobile Broadband
Speed Test
• Challenge
31
– Government is used to releasing data by paper report.
– Spectrum Sensor data is massive and complicated
– Consumers want to know their mobile and wired
broadband options
• Mobile Broadband Speed Test
– Crowd source data collection
– Make data returned relevant to consumer

32. We can do better than this (2011)
http://www.wired.com/2011/01/verizon-or-att-iphone

33. FCC - Mobile Broadband
Speed Test
33

34. City of Chicago
Windy Grid
34

35. MongoDB DC
Washington DC, October 14
http://www.mongodb.com/events/mongodb-dc-2014
35
#MongoDBWorld
A day of workshops, sessions, hands on tips,
Commercial and Government speakers, and
great ideas.

36. MongoDB DaaS Quickstart
• DaaS platform built on MongoDB
36
– Open data for the public
– Serve data to the enterprise
• MongoDB Enterprise on up to 3 nodes for HA
• Quickstart solution deployed by our consultants
• Solution & architecture documentation
• 1 day of solution review and training
• http://bit.ly/1qXcYNA

37. Webinar Q&A
david.erickson@mongodb.com
http://www.mongodb.com/events/mongodb-dc-2014
37

38. Thank You