DELL EMC Isilon & ECS for Healthcare

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1 Sosiaali- ja Terveydenhuollon ATK-päivät: Tiedon pitkäaikaissäilytys terveydenhuollon alalla IT:n näkökanta tallentamiseen DELL EMC Isilon & ECS for Healthcare Lauri Koivisto Dell EMC Isilon Regional Territory Manager Make Healthcare Data an Asset, Not a Burden

2 Agenda External business drivers and healthcare provider challenges What makes Dell EMC Isilon & ECS Storage solutions unique in Healthcare? 2 of 50 Y

3 External Drivers & Healthcare Provider Challenges

4 External Drivers 100% 90% 80% 70% 60% 50% 40% 30% Top 1% of spenders account for >20% of spending ($275 billion) Top 5% of spenders account for almost half of spending ($623 billion) Total Personal Health Care Spending 20% 10% $36 Billion $1,223 Billion 0% Distribution of Personal Health Spending Retention requirements vary by use case and country Regulatory Changes & Data Retention 4 of 50

5 Population (millions) External Drivers $40,000 Hospital Deals 110 Population aged year and 80 years or over by development group $30, $20, or over $10, $ World More developed regions Least developed regions Least developed countries Deal value ($ millions) Source: The Health Care M&A Information Deal volume (# of deals) 2015 World Population Ageing Report Market Consolidation Aging Population 5 of 50

6 Exabytes (EB) Healthcare Providers Challenges Healthcare Data % Annual Growth Rate OPEX Data Growth Operational Cost 7 of 50

7 Healthcare Providers Challenges Clinical Next Generation Sequencing Analytics Digital Pathology Digital Breast Tomosynthesis Precision / Personalized Medicine Healthcare Internet Of Things # Of Applications and Infrastructure Silos Increasing Digitization & New Methods Next Gen. Healthcare 8 of 50

8 Healthcare Providers Challenges Personalized experience 24/7 access and connectivity Faster access to service Access on more devices Collaboration & Cloud Economics Changing Patient Expectations 9 of 50

9 What Makes EMC Isilon Unique in Healthcare?

10 Healthcare Data Lake Multi-Workload - One Storage Backbone Advanced Analytics Scale-Out Scale-As-You-Grow Cloud Enabled 11 of 50

11 Workflows and Data Types in Healthcare Traditional Medical Applications Next Gen. Operations, Administration, Hospital IT Emerging Use Cases Departmental PACS / VNA EHR Surgical, Sleep 12 of 50 Study Videos Sonograms Clinical NGS Digital Pathology Digital Breast Tomosynthesis Hospital File Data Non-medical application archive Web Presence Video Surveillance / Security Collaboration Remote Patient Monitoring/ Diagnosis IoT within the Hospital Smart Ambulance Analytics

12 One Storage Silo Per Application Emerging & Next Gen. Applications Will Increase Storage Complexity Traditional Medical Applications Next Gen. Operations, Administration, Hospital IT Emerging Use Cases NAS NAS DAS CLOUD NAS SAN SAN SAN CLOUD OBJECT TAPE TAPE DAS OBJECT 13 of 50

13 One Storage Silo Per Application Emerging & Next Gen. Applications Will Increase Storage Complexity Traditional Medical Applications Next Gen. Operations, Administration, Hospital IT Emerging Use Cases NAS CLOUD NAS SAN NAS DAS SAN SAN OBJECT Healthcare Data Lake TAPE CLOUD TAPE DAS OBJECT 14 of 50

14 One Healthcare Data Lake Eliminate inefficient islands of storage Infrastructure consolidation for both clinical and non-clinical workloads Scales as data growth and number of instruments, modalities, and digital clinical applications increases Enable better information sharing Healthcare Data Lake Accelerate data analytics to gain new insight Extends into the cloud Prepared for next gen. healthcare E.g. precision medicine 15 of 50

15 EMC Isilon for Healthcare HEALTHCARE DATA LAKE FOR CLINICAL & NON CLINICAL WORKLOADS

16 Isilon Healthcare Momentum 861 PB shipped 900+ customers Isilon is compatible with top ISVs 8 of top 10 ( ) 6 of top 10 ( ) 17 of 50 17

17 Typical Storage Islands in a Hospital Hundreds of Application with Their Own Storage Requirements Traditional Medical Applications Departmental PACS / VNA EHR Sonograms Clinical NGS Surgical, Sleep Study Videos Digital Pathology Digital Breast Tomosynthesis Next Gen. Operations, Administration, Hospital IT File Shares Video Surveillance Security Web Non-medical application archive Collaboration Emerging Use Cases Remote Patient Monitoring/ Diagnosis Smart Ambulance IoT within the Hospital Analytics

18 Typical Storage Islands in a Hospital Hundreds of Application with Their Own Storage Requirements Traditional Medical Applications Next Gen. Operations, Administration, Hospital IT Emerging Use Cases Healthcare Data Lake 19 of 50

19 Typical Storage Islands in a Hospital Hundreds of Application with Their Own Storage Requirements Healthcare Data Lake 20 of 50

20 Why is Scalability and No Storage Migration Important for Healthcare? Data retention periods longer than storage lifecycle Image sizes increases. I.e. average study size: Radiology: 50 MB Cardiology: 450 MB Digital Pathology: 2 GB Clinical NGS: 20 GB Simplicity to add new applications to a shared storage infrastructure Allows you to become more efficient as you grow without having to spend all your time on storage of 50

21 Massively Scalable More Scalable Than Traditional Storage Isilon scales from 16TB to 68PB in a single file system, single volume cluster Under 60 seconds to scale with no downtime Migration-less replacement of old nodes 22 of 50

22 Isilon Simplicity and ease of use Single Volume and File System PBs Automation NO manual intervention NO reconfiguration NO client mount point changes NO application changes NO storage migrations NO RAID or LUNs TBs DATA MANAGEMENT SmartPools SmartQuotas InsightIQ CloudPools PROTECTION & EFFICIENCY SyncIQ SnapshotIQ SmartConnect SmartLock SmartDedupe 23 of 50

23 Gain New Levels of Efficiency Isilon Autobalance BALANCED EMPTY FULL BALANCED AUTOBALANCE Automated data balancing across nodes reduces costs, complexity, and risks for scaling storage EMPTY FULL BALANCED EMPTY FULL BALANCED EMPTY FULL BALANCED AutoBalance automatically moves content to new storage nodes Eliminates hot spots Enables unmatched storage capacity utilization of more than 80% EMPTY 24 of 50

24 Performance Isilon Family S-Series Linear Scaling of Performance and Capacity High Performance Platform X-Series Highly Versatile Platform NL-Series HD-Series IsilonSD Nearline Platform High Density Platform CloudPools Software Defined Your hardware Internal Cloud External Cloud Capacity 25 of 50

25 Isilon in Healthcare Partners Certifications Shared Workloads Analytics Future Diagnostics DBT Pathology Genomics 26 of 50

26 Isilon Scale-out NAS For Healthcare Simple to manage Single file system, single volume, global namespace Massively scalable From 16 TB to over 68 PB in a single cluster, or to Cloud-scale Unmatched efficiency Over 80% storage utilization, automated tiering and SmartDedupe Enterprise data protection Efficient backup and disaster recovery, and N+1 thru N+4 redundancy Robust security and compliance options RBAC, WORM, SEDs, auditing, STIG, FIPS, CAC/PIV Operational flexibility Multi-protocol support as well as Object and OpenStack Swift Deployment flexibility Edge to Core to Cloud 27 of 50

27 EMC ECS for Healthcare HEALTHCARE DATA LAKE EXPANSION FOR COLD ARCHIVE & FUTURE NEXT GEN. NATIVE CLOUD BASED HEALTHCARE APPLICATIONS

28 Healthcare Data Lake Cloud Expansion CORE Healthcare Datacenter Private, Public, Hosted Healthcare Data Lake CLOUD Expansion Healthcare Data Lake Policy based automated data tiering through CloudPools SITE 1 SITE 2 SITE 3 29 of 50

29 Low $/TB High Why Core Healthcare Data Lake Expansion Through Cloudpools? Cloud enabled Healthcare Data Lake S-Series Performance Platform Simple to deploy and manage integrated Encryption and compression Reclaims primary storage X-Series High Versatile Platform Reduces on-going primary storage acquisition costs Cloud ready use cases NL/HD-Series Nearline / High Density Platform ECS Cloud / Archive Archive - policy based data placement Healthcare IoT & modern app Capacity 30 of 50

30 ECS Archive in Healthcare

31 Why Two Storage Tiers? Active File plays the primary role for clinical and non-clinical applications File is fast for data generation, retrieval, and analysis workflows Archive A variety of strategies in play (object, file, tape) Object becoming the center of gravity for long-term archives & native cloud based next gen. applications Addresses retention period, accessibility, protection & availability requirements Analyze archived data when needed 32 of 50

32 Healthcare Data Archiving Approaches In-place (Passive Archive) Archive via Backup Active Archive Long Term Preservation Archive Primary Storage Secondary Storage Long-term Storage Hot Cold In-Place Archive Archive via Backup Active Archive Long Term Archive Do Nothing (keeping on primary storage) Waste of primary storage resources Management issues Not cost effective Inexpensive May not be indexed Might be offsite / not accessible for other workflows (i.e. analytics) Regulatory challenges Fast access to data Non-intrusive Data can be retained for years Regulatory compliant In-place data analytics Data resides for decades Fast growing data sets In-place analytics Long tail data monetization Regulatory compliant Often file based Often Object/Cloud based 33 of 50

33 ECS Improves Healthcare Archive Cloud economics - further reduces archiving costs Multi-protocol object & file storage solution for archive Simplified archiving management with transparent cloud tiering Enterprise grade security Integrated into the private Core Healthcare Data Lake Provides seamless access to a lower cost tier of storage for cold archived data Eliminates requirements for off-site tape storage, transportation, etc. Offers single, geo-distributed name-space Describe data with extended meta-data Sets up a foundation for collaboration 34 of 50

34 Mitä seuraavaksi? Dell EMC ständi 2 krs. portaiden oikealla puolella alhaalta noustessa.

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