Genomics is upon us, made possible by big data and the technologies designed to support it. Doctors, who historically used clinical data, and researchers, who historically used genomic data, are now increasingly focused on analyzing the same single data set: introducing the opportunity to share bodies of knowledge, fostering collaborative innovation, and driving toward higher standards of care. However, this data is enormous – volumes of genomic data are expected to reach two to four exabytes per year by 2025, yet the cost of genetic sequencing has decreased 100-fold over the past 10 years. Cloudera is helping solve the big data problem with its Apache Hadoop-based platform for large-scale data processing, discovery, and analytics; putting precision medicine within reach.

1. Integrated platform
for precision medicine
June 14, 2016
Shawn Dolley, Industry Leader, Health & Life Science
Alan Louie, Ph.D., Research Director, IDC Health Insights

2. 2© 2014 Cloudera, Inc. All rights reserved.
Agenda
The Evolving and Expanding Life
Science Ecosystem
Integrating Big Data into Life
Science Innovation
Looking Forward
The Genomic Pipeline
Use Cases in Big Data
The Future of Precision Medicine

3. 3
An Industry in Transition
The pharmaceutical and life sciences sector is well on
the path to transformational change.
 The life science product development lifecycle is experiencing a
paradigm shift
 Collaboration is the new FIPNET
 Efforts to institutionalize operational efficiency and effectiveness are
largely completed
 Scientific and technological innovation continue to empower and drive
change
 Research applications, platforms, and infrastructure are increasingly
connected and are getting smarter
 We are at the cusp of knowledge-based drug discovery and
development

4. 4
Key Life Science
Industry IT Initiatives
Q. In 2015 (2014, 2013), which of the following initiatives will be significant in
driving IT investments at your organization?
4
N = 124, (2015), 149 (2014), 176 (2013)
Source: IDC Global Technology and Industry Research
Organization IT Survey, 2015, 2014, 2013

5. 5
Accommodating the Rapidly Evolving
Science and Technology Ecosystem
The ability to leverage scientific advances and technological
innovation is a key success factor moving forward.
Science:
Ubiquitous genomics
Translational research and beyond
Actively bringing the patient into the equation
Technology:
Industry-specific IDC 4 pillars
Making infrastructure more transparent
Life-science specific automated intelligence

6. 6
IDC and the Four Pillars of Transformation
Cloud Mobile
Big Data &
Analytics
Social & Unified
Communication

7. 7
IDC Pillar 2:Big Data and Analytics
Big Data &
Analytics
IDC estimates that the worldwide
Big Data technology and
services market will grow from
$21.3B in 2015 to $48.6B in
2019, a 23.1% CAGR.
While later than expected, big data is
knocking at the door today
Volume, velocity, variety, and value
remain key
 Big data was never about storage…it
is about routinely extracting value from
data
It’s more than genomics
Agility in effectively leveraging diverse
public and private data sources will be
key to industry success
Real time and actionable analytics are
the value goal

8. 8
IDC Pillar 2:Big Data and Analytics
Q. What are the top three ways you are applying your Big Data and Analytics initiatives within your
organization?
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8
N = 124
Source: IDC Global Technology and Industry Research Organization IT Survey, 2015

9. 9
At the Cusp of Big Data-Enabled Knowledge
Key big data:
Genomics, proteomics, metabolomics, other -omics
Medical imaging, current and retrospective clinical data
Healthcare EMR, payer data
Social and RWE data (both public and private)
We are at the cusp of mainstream big data
Outstanding big data issues:
Real-time global access and analysis
Data compatibility
Increasing regulatory complexity

10. 10
Looking Forward
 Big data is just data in the life sciences
 Data continues to increase in volume and
diversity
 The cloud is the future of secure agility in
routinely handling big data in the industry
 Automated intelligence and cognitive computing
are the next analytics challenge
 The ability to deliver ad hoc analytics will be key
to routinely demonstrating organizational value
In thinking about the industry’s ongoing big data efforts, we
expect the following:

11. 11© 2014 Cloudera, Inc. All rights reserved.
Next Generation Data
Sequencing - the Precision
Medicine Journey
Shawn Dolley | Cloudera

12. 12© 2014 Cloudera, Inc. All rights reserved.
Challenges our customers share (pharma, health
system, crop science, academic…)
• I have storage (Isilon?) and high performance compute, maybe a light database
• The amount of whole exomes or whole genomes I will have access to is
exploding
• I have or will have over 3,000 samples, across 5+ studies
• My performance will crawl (or is crawling) on HPC
• My analysis starts with vcf files (don’t mess with my upstream)
• Researchers are crawling their own browsers or uploading public data sets
• I have or will have access to clinical data/phenotype and have no model for it
• …..I think I want an integrated data store which scales, is cheap, where I can
dump everything in its original format….
Is this you?

13. 13© 2014 Cloudera, Inc. All rights reserved.
The Genomic Pipeline
Upstream Downstream
QC
Alignment Genotyping
Annotation
Velvet,
BWA…n
GATK,
Samtools…n
VEP,
GATK,
SnpEff…n
PLINK,
OpenGE…n
Sequencing
Analysis

14. 14© 2014 Cloudera, Inc. All rights reserved.
The Genomic Analytic Pipeline & Cloudera Omics
Upstream Downstream
Whole
Exome/
Genome
QC
Alignment Genotyping
Analysis & Annotation
Velvet,
BWA…n
GATK,
Samtools…n
VEP, GATK
SnpEff…n
Sequencing
Multiple
Public
Databases
Internal
Clinical
Cloudera Omics
Solution

15. 15© 2014 Cloudera, Inc. All rights reserved.
HDFS
Storage
Interactivity
Batch Parsing, Transformation, Integration
Hive / Impala Spark
Extended Technical Architecture for Cloudera Omics
Reports &
Dashboards
Impala Solr
Ingestion
HDFS API
Raw Data
Parsed Data – Parquet
Compressed
Raw Archive
Raw
Landing
Zone
Clinical Data
Patient
Genotypes
Public
Genomics
Integrated Omics Data – Parquet
Integrated
Patient
Data
Integrated Public
Genomics
Platform
Study-specific Collections (examples)
Immunodeficiency
Cohort
Undiagnosed
Cohort
…
Morphlines
Private
Patient
Data
Public
Data
Sets
SparkSQL
Egress
Queries &
Exploration
Visualizations
Sqoop HDFS APIFlume/Kafka
External
Applications
Data Sharing

16. 16© 2014 Cloudera, Inc. All rights reserved.
Seattle Children’s Research Hospital
• 200+ researchers at Seattle Children’s Research Institute
• 9 Research Centers including cancer, brain, birth, infectious disease
• No integrated data platform across the 9 Centers today
• Evaluated multiple packaged applications, all multi-millions of dollars
• Selected Cloudera to jointly develop a precision medicine platform
Benefit
Today, a single lab at SCRI can
evaluate and diagnose a single
patient per week after receiving
the whole exome and clinical
record. After implementation, the
lab believes they will be able to
diagnose 4-5 patients per week.

17. 17© 2014 Cloudera, Inc. All rights reserved.
Baylor moves to
Cloudera
Enterprise to
embark on their
precision
medicine journey

18. 18© 2014 Cloudera, Inc. All rights reserved.
Broad Institute’s
industry standard
GATK pipeline’s next
version will be
Spark-based, over
20,000 global users
may migrate to Spark

19. 19© 2014 Cloudera, Inc. All rights reserved.
Cloudera will be
driving adoption
of big data at
precision
medicine labs
around the US,
including custom
collaborations

20. 20© 2014 Cloudera, Inc. All rights reserved.
The best-in-class organizations use Cloudera
#1 Largest
Biotech in the world.
5 out of the
top 9 drugs
worldwide are
made by Cloudera customers.
#1largest global
genomic
repository
#1 Largest
Payer in the US
will be covering
123 million lives
and pay out
$950B to
providers in 2015.
this Hospital was one of the first
four to receive Stage 7 status from HIMSS, the
highest possible
distinction in electronic medical
records implementation, uses Cloudera to host a
variety of data, and was awarded by US DHHS a
Gold Medal of
Honor.
#1 commercial
hospital chain
worldwide.
Over 80 health & life
science organizations
use enterprise-class
Cloudera
software.
#1 most utilized Patient
Centered Medical Home
program.
#1
Largest
health data
company,
with 500M+
anonymous patient
records.
#1 Largest Health IT
company in the World, $3B+
in revenue has 1000’s of
nodes of Cloudera.

21. Thank you.
Contact information:
Industry Leader, Health & Life Science
Cloudera
sdolley@cloudera.com
202-460-4660
@shawndolley

22. 22© 2014 Cloudera, Inc. All rights reserved.
Questions
Contact information:
Alan S. Louie, Ph.D.
Research Director, Life Science R&D Practice
(508) 935-4280
alouie@idc.com
Join me & your peers in the conversations
at our IDC Health Insights Community
For further information about the firm, our
events and research publications, we
invite you to our websites:
www.idc-hi.com and www.idc.com

23. 23© 2014 Cloudera, Inc. All rights reserved.
23
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