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Big Data in Healthcare
Amy McNee, VP Customer Engagement
05/05/2015
Technology landscape
LOB
App
Oracle
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App
MySQL
LOB
App
SQL
Server
Data Warehouse
RDBMS
Teradata/Exadata
Column DB’s
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App
NoSQL
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App
NoSQL
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App
NoSQL
C* C
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Data Warehouse
Hadoop
Traditional
Technology
NoSQL Technology
OLTP
(What’s Happening)OLAP
(What Happened)
C* C
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DSE as a Platform for EHR
DC1 DC2 DC3
Standard Interfaces
Internode
Encryption
AD/LDAP
Kerberos
Driver to Node
Encryption
On Disk
Encryption
Search
Analytics
Application
Tools
• Always-On
• Fast Data Ingestion
• Enterprise Security
• Integrated Search &
Analytics
• Data Model
Flexibility
Se
cu
rity
Key Use Cases in Healthcare
• Consolidated Patient View
• Fraud Detection
• Analysis of Real-time physiological signals from data monitoring
devices
• Disease Identification
• Search and Taxonomy
© 2015 DataStax, All Rights Reserved. 4
Founded in April 2010
~500
Santa Clara, Austin, New York, London,
Paris, Tokyo, Melbourne
~400Employees Customers
~30Percent
Overview
We Deliver to Enterprise Software Standards
Support & Training
ProfessionalServices
Security
VisualMonitoring
ManagementServices
In-MemorySpark
Analytics
Search
Commercial
Confidence
Enterprise
Functionality
DSE
Certification
The New Connected World Needs
a Revolutionary New DBMS
“The Internet of Everything”
Client-Server
Static
SocialMobileCloud
Mainframe
1970’s
1990’s
Today
IBM
ORACLE
Semi-Connected Radically Connected
DATASTAX
Distributed
8
The Problem with Legacy Technology
Challenges
• Complexity
• Cost
• Performance
• Scalability
9
Powering Life Saving Recommendations with Real-time Analytics
Managing large volumes of dynamic structured and unstructured data
Need flexible data model capable of changing in real time
Search and analytics allow Amara Health Analytics to serve the recommendations to doctors
Spend less time administering the database and more time innovating to drive the business
Business critical applications require 24x7x365 expert support
Use Case: Recommendation/ Personalization
Nike Becomes a Technology Company with Nike+Nike+ will become the social network for all things activity related
Sensors track activities and performance against goal to create a better athlete
Scaling Nike+ system performance and regional access to data were key challenges
Failed to meet performance/availability targets with legacy RDBMS platform
Thorough evaluation of leading NoSQL technologies led to DSE being chosen as standard
Netflix – More Than Content
Highly optimized customer engagement
Over 1 Trillion transactions per day
Business agility made possible without infrastructure anchor
100% Amazon datacenters
Replaced Oracle in multiple regions across the worldUse Case: Personalization
11
Connected Homes Brings British Gas Closer to CustomersBritish Gas is the largest provider of domestic gas in the UK with 15M customers
Goal to move from “remote utility” to an “everyday companion in our customer’s lives”
Remote HVAC Control, Smart Energy Reports - live data from Smart Meters and Connected
Boilers
DataStax Enterprise with Spark Analytics chosen to handle large volumes of Time Series Data
Previous solution lacked Scalability, Performance and Management Capabilities
Delivers 150+ Billion Content Recommendations Per Month
Serves content for largest media brands in the world: Reuters, Wall St Journal, USA Today
Needed a massively scalable datastore
High velocity of data with 58,000 links to content per second
Always-on data architecture
Use Case: Recommendations / Personalization
Google Nest Revolutionizes the Thermostat
Google pays $3BN for Nest, not for thermostat, but for data
All interactions with customer thermostats are written to DataStax
All mobile application interactions are handled by DataStax
DataStax chosen for ability to handle high velocity writes in time series
Use Case: Internet Of Things14
Market Leadership Product Leadership Customer Leadership
Visionary in ODBMS
Leader
Market Leadership
Big Data Startups on the rise
Companies that matter most in data
Big Data 100: Data Management
Thank you!