Applying Downstream

Analytics in a Big Data Environment

John McDaniel Mark Beaudreault

NetApp?

NetApp #1 in

Initial product quality Product features Technical support Customer satisfaction Knowledgeable sales Storage Operating System – OnTap Number 6 place to work in the US Recognized for Innovation by Forbes magazine Fortune 500 Company Top 100 Companies in Healthcare Solutions

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Over 3,000 Healthcare Clients Worldwide

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What is Big Data? (Cont’d)

Data Volume – Clinical Documentation All Providers of care irrespective of location

– Genomics – Patient Monitors & Sensors – Machine-to-Machine – Medical Images – Administrative Data – EHR and HIE Data

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What is Big Data? (Cont’d)

Data Variety – Structured Data – Unstructured Data Audio Dictation Clinical Narratives Email/Text Messages Social Media Photos and Videos

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What is Big Data? (Cont’d)

Data Velocity – Standardized/Normalized Real or Near Real-

Time Data for: Predictive Modeling Risk Modeling Clinical Decision Support Point of Care Best Practices

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What is Big Data? (Cont’d)

Data Value – When Data is Aggregated it Becomes

Information Which when Used Promotes Knowledge In Providing the Best Care for the Least Cost

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Provider Familiarity with Big Data

8 Source: IDC Global Technology and Industry Research Organization IT Survey, 2012

9 Source: IDC Global Technology and Industry Research Organization IT Survey, 2012

Provider Challenges with Big Data

10 Source: IDC Global Technology and Industry Research Organization IT Survey, 2012

What are your organization's drivers for using big data technologies and approaches?

4.3

12.3

18.5

19.8

23.2

42.4

0 10 20 30 40 50

Non-analytic workloads

Analysis of transactional data from sales systems

Service innovation

Analysis of machine or device data

Analysis of online customer behavior related data

Analysis of operations related data

(%)

Business & Clinical Intelligence Service Architecture

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The Biggest Challenges are Not the ones We Realize

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What We Are Good at and Focused On

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Analytics for extremely large datasets

Performance for data intensive workloads

Secure, boundless data storage

Gain Insight

Keep Everything

Go Fast

Big Data

The Real Challenge - New Era of Scale

35 Zettabytes Estimated size of the digital universe in 2020

5 Billion smart phones

30 Billion Pieces of new content to Facebook per month

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Big Data = Big SLAs

The use case is frequently becoming the core competency and key differentiator of the organization

RTOs and RPOs are also at Scale – No Downtime

DR now = Business Continuance

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Big Data = Big Investment

The nature of the workloads typically requires investments that are beyond the enterprise application cost structure.

The Analytics technologies are in a segment of tech that is in flux – not aligned with 5 year depreciation schedules.

So Big Data = Big Flexibility to protect and best utilize these investments.

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Big Data = Big Data (really)

The routine things we do no longer work in the new paradigm. – Test, Dev and QA – Backup and Recovery – Hardware refresh – Maintenance windows

18 NetApp Confidential - Internal Use Only