In online residential and commercial real estate, even fractions of seconds in response times affect customer satisfaction and conversion to revenue. The need for continuous availability is paramount to deliver the levels of service customers demand from modern online applications. Join David Prinzing, Enterprise Architect at Clear Capital to discover why Clear Capital, a premium provider of real estate asset valuation and collateral risk assessment, chose DataStax as the database-backbone for their ClearCollateral Platform. David will discuss how DataStax Enterprise, the world’s fastest, most scalable distributed database technology built on Apache Cassandra ensures 100% uptime for over 122 million properties (90% of all the properties in the United States) and supports reporting on over 1 Billion total valuations while never going down. - The challenges in building real-time applications using relational technologies is forcing financial services firms to migrate to distributed database technologies - How Clear Capital delivers 100% availability and real-time decision support across multiple data centers in the Amazon Cloud using DataStax Enterprise - Why Apache Cassandra’s architecture delivers always-on, customer engaging applications that capture new business opportunities

1. ClearCollateral Platform
How Clear Capital Delivers Always-On
Appraisals on 122 Million Properties with
DataStax Enterprise
David Prinzing
Director, Enterprise Architecture
Clear Capital, Inc.
October 22, 2014

2. About the Presenter
David Prinzing
Director, Enterprise Architecture at
Clear Capital
Leads the design and implementation
of Clear Capital’s high-speed,
massively scalable, highly-available
solution on Amazon Web Services
(AWS) using Linux, Java, DataStax
Enterprise, and a light-weight
application stack of open source Java
technologies for providing RESTful
web services.

3. Topical Overview
● Introduction to Clear Capital
● ClearQC Searching, Scalability, Performance
● Architectural Objectives
● Technology Selections
● Why DataStax Enterprise?
● Linear Scalability
● Continuous Availability
● Architectural Approach
● What’s Next?

4. Introduction to Clear Capital
www.clearcapital.com

5. ClearQC: Advanced Search
● Solr-powered, indexing data in Cassandra
● Supporting a full range of attributes:
○ Property characteristics
○ Appraisal attributes
○ Appraiser identification
○ Quality check results
● Searching types:
○ Geospatial
○ Faceted
○ Full-text
○ N-gram

6. ClearQC: ‘Comp’ Search

7. Scalability and Performance
122 million properties (> 90% USA total)
15 million appraisals (so far…)
1 billion valuations (comp search)
5-second validations (+/- 1 second)
15,000 validations/hour rated capacity

8. Architectural Objectives
● Enable business agility
● Enable business intelligence
● Improve speed
● Improve quality
● Improve cost-effectiveness
● Improve efficiency
● Improve availability
● Improve scalability
● Protect information security

9. Technology Selections
Dropwizard

10. Why DataStax Enterprise?
One Integrated Database (no ETL)
● Real-time data (with CQL)
● Analytics (parallel computation)
● Search (faceted, geo-spatial)
Advantages
● Cost-effective, open source
● Massive linear scalability
● High performance/speed
● Continuous availability
● Simple admin, operations
● Elastic, incremental expansion
● Cloud-compatible; scale out
● Data compression
Disadvantages
● Eventual (tunable) consistency
● Think differently...

11. Scalability: Linear, Demonstrated

12. Availability: Distributed Database
High availability with distributed data:
3 real-time replicas in each of 2 data centers (6 total)
2 replicas needed to function (local quorum: 2 of 3)

13. Continuous Availability
● Customer Demonstration
○ Complete loss of one of three availability zones
○ Sending appraisals through:
before…
while going down…
while down…
while coming back up…
and when restored.
○ 100% successful validations!
● No Planned Outages
● 100% Availability… for how long?

14. Customer Availability Testing
Healthy Ring ⅓ Nodes Down
Result: 100% successful transactions!

15. Architectural Overview
Customer
App
Batch
Integration
Real-time
Integration
ClearCapital,
ASC.gov, ...
Database
Cluster
Web App
Cluster
R Stats
Cluster
Geocoding,
MLS, ...
Web
Services
Cluster
REST API
Cassandra,
Solr
Validation
Rules, ...
Integration
Cluster
Customer
API

16. AWS Infrastructure Design
api.example.com
C* C* C* C* C* C*
Availability Zone 1 Availability Zone 2 Availability Zone 3
Region 1
Availability Zone 1 Availability Zone 2 Availability Zone 3
Region 2

17. What’s Next?
Customer
App
Batch
Integration
Real-time
Integration
ClearCapital,
ASC.gov, ...
Database
Cluster
Web App
Cluster
R Stats
Cluster
Geocoding,
MLS, ...
Web
Services
Cluster
REST API
Cassandra,
Solr, Spark
Validation
Rules, ...
Integration
Cluster
Customer
API
More ClearCollateral
services … and
Enhanced analytics

18. Contact Information
David Prinzing
Director, Enterprise Architecture
Clear Capital, Inc.
david.prinzing@clearcapital.com
+1.916.474.0360
1410 Rocky Ridge Dr, Suite 180
Roseville, CA 95661
www.clearcapital.com