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Page 1 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hadoop and Data Virtualization: A Case Study by VHA
with Denodo...
Page 2 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Speakers
Richard Proctor
GM Healthcare
Hortonworks
Ravi Shankar...
Page 3 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Shifting the Data Paradigm
•  Reactive reporting
•  3 – 6 month...
Page 4 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
The problem: Current data architecture under pressureAPPLICATIO...
Page 5 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
The “Empowered” Patient
Relationship Focused
(Values stable doc...
Page 6 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Thank you for the diagram, Robert Wood
Johnson Foundation, 2014...
Page 7 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Page 8 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
The image cannot be displayed. Your computer may not have enoug...
Page 9 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Two great Use cases to realize a dramatic cost savings…
✚
EDW O...
Page 10 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Monitor Patient Vitals in Real-Time with Sensor data
Problem
M...
VHA Inc. Confidential information.
Hadoop and Data Virtualization
11 |
VHA Inc. Confidential information.
Since 1977 – when 30 hospital CEOs established VHA as the nation’s first membership
org...
VHA Inc. Confidential information.
At UHC, collaboration drives success.
For nearly 30 years, UHC has been a catalyzing fo...
VHA Inc. Confidential information.
UHC and VHA have a track record of partnering successfully
History of Collaboration
14 ...
VHA Inc. Confidential information.
UHC and VHA Have Complementary Strengths Which When Combined
Create Enhanced Member Val...
VHA Inc. Confidential information.
Our new organization offers superior access to leading practices, networking and knowle...
VHA Inc. Confidential information.
Context
17 |
VHA Inc. Confidential information.
Move from silos to streamlined data processing….
18 |
DataInternal
External
Data
Logic
...
VHA Inc. Confidential information.
ManagementAcquisition Delivery
Where we want to go…
19 |
Data
Lake
BusinessAccessLayer
...
VHA Inc. Confidential information.
Let’s get rolling…
20 |
VHA Inc. Confidential information.
ManagementAcquisition Delivery
Where we want to go…
21 |
Data
Lake
BusinessAccessLayer
...
VHA Inc. Confidential information.
Built on Hadoop
"   Hortonworks is the distribution
Business Need
"   Move to a modern ...
VHA Inc. Confidential information.
Area to discover value from data
Access roles:
"   Data scientists and SMEs
"   Product...
VHA Inc. Confidential information.
Utilize data virtualization
"   “Data virtualization is an umbrella term used to descri...
VHA Inc. Confidential information.
Proven platform
"   Denodo is our DV platform
Successes in our company
" Salesforce rep...
VHA Inc. Confidential information.
Discovery Zone
"   Utilize Denodo HDFS, HBase and Map Reduce custom wrappers
"   Abstra...
VHA Inc. Confidential information.
Discovery zone
presentation layer
Virtual data views
Data Lake
Systems of record
Archit...
VHA Inc. Confidential information.
Data Lake approach on Hadoop
"   Simplifies data management
"   reduces data costs
"   ...
Data Virtualization
Ravi Shankar
Chief Marketing Officer
© 2015 Denodo Technologies
What is Data Virtualization?
Data Virtualization combines disparate data sources into a single ...
© 2015 Denodo Technologies
© 2015 Denodo Technologies
Data Virtualization Capabilities
Data Virtualization
Logical abstraction &
decoupling
Data fede...
© 2015 Denodo Technologies
Benefits of Data Virtualization
Better Quality Information
§  Focus on Business Information Ne...
© 2015 Denodo Technologies
Data Virtualization – Use Cases
Agile Business Intelligence
Big Data, Cloud Integration
Agile S...
© 2015 Denodo Technologies
About Denodo
Description Denodo is the leader in data virtualization offering the broadest acce...
Page 36 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Next Steps…
Download the Hortonworks Sandbox
Learn Hadoop
Buil...
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Hadoop and Data Virtualization - A Case Study by VHA

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VHA (Voluntary Hospitals of America) is the largest member-owned health care company in the US delivering industry-leading supply chain management services and clinical improvement services to its members. At VHA, product, supplier, and member information is siloed across multiple sources. VHA sees value in consolidating the disparate data into a Data Lake, supported by the Hortonworks Data Platform, to enable the business users to discover the related data and provide services to their members. Because of their previous success with data virtualization, powered by Denodo, VHA decided to use data virtualization to enable their business users to discover data using the familiar SQL, and thus abstract their access directly to Hadoop.

During this webinar, you will learn:

- The role, use, and benefits of Hadoop in the Modern Data Architecture.
- How Hadoop and data virtualization simplified data management and enabled faster data discovery.
- What data virtualization is and how it can simplify big data projects.​
- Lessons learned from and best practices for deploying data lake and data virtualization.

Published in: Software
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Hadoop and Data Virtualization - A Case Study by VHA

  1. 1. Page 1 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Hadoop and Data Virtualization: A Case Study by VHA with Denodo, Hortonworks and VHA
  2. 2. Page 2 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Speakers Richard Proctor GM Healthcare Hortonworks Ravi Shankar CMO Denodo Ben Blakeney Architecture & Engineering Services VHA
  3. 3. Page 3 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Shifting the Data Paradigm •  Reactive reporting •  3 – 6 month delay •  Regulatory-centric •  Manual data review/collection •  Repressive data silo’s •  Not sure what data to store •  Expensive storage w/limited options „  All data types (structured, semi structured, & Unstructured) „  Near real-time and predictive „  Organization & Patient centric „  Store everything „  Inexpensive storage w/lots options Data  as  an  independent  business   process(Silo’s  of  data)   Reac7ve  repor7ng   Data  as  a  byproduct  of  pa7ent  care   Prospec7ve  analysis   Primary  audience  –  healthcare   organiza7on   Secondary  audience     Secondary  audience     Primary  audience  –  regulatory  agencies   Current  data  process  with  latent  architecture   Modern  data  Architecture  with  Hadoop  
  4. 4. Page 4 © Hortonworks Inc. 2011 – 2015. All Rights Reserved The problem: Current data architecture under pressureAPPLICATIONS  DATA    SYSTEM   REPOSITORIES   SOURCES   Exis4ng  Sources     ADT,  Pa4ent  Accoun4ng,  GL,  Payroll,     Physician  entry,  Core  measures,  Pa4ent  Sat,   AHRQ,  External  benchmarks,,  Clinical  Systems   (ED,  Radiology,  PACS),  Other  Sources  (Clinics,   home  health,  Ambulatory,  LTAC’s)   RDBMS   EDW   MPP   Business     Analy4cs   Custom   Applica4ons   Packaged   Applica4ons   OLTP,  ERP,  CRM  Systems   Unstructured  documents,  emails   Clickstream   Server  logs   Sen7ment,  Web  Data   Sensor.  Machine  Data   Geoloca7on   Value in New data sources •  Limited Application interaction •  Costly to Scale storage •  Silos of Data •  Inability to manage new data sources •  Schema on Write vs. Read
  5. 5. Page 5 © Hortonworks Inc. 2011 – 2015. All Rights Reserved The “Empowered” Patient Relationship Focused (Values stable doctor’s relationships) Detests/suspicious of Gadgets Serial Processor (Email, basic model phone) Loyalty to Brand Health as a service Access to Care Patient (willing to wait) Believes experts (not comfortable seeking second opinions) Goes for Best of Breed (Network of Networks) Super Connected Parallel Processor-Integrated (State- of-the-Art) Loyalty to Value Take care of Health Health as a right Impatient Asks for Data (researches multiple self enabled searches, demands second opinions) My Parents My Children
  6. 6. Page 6 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Thank you for the diagram, Robert Wood Johnson Foundation, 2014 6 Comprehensive Health Management 80% of healthcare determinants lie outside the US healthcare delivery system Can healthcare systems expand into these other areas, and become true public health systems?
  7. 7. Page 7 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
  8. 8. Page 8 © Hortonworks Inc. 2011 – 2015. All Rights Reserved The image cannot be displayed. Your computer may not have enough memory to open the image, or the image may have been corrupted. Restart your computer, and then open the file again. If the red x still appears, you may have to delete the image and then insert it again. Original 24 architects, developers, operators of Hadoop from Yahoo! ONLY 100open source Apache Hadoop data platform % Founded in 2011 HADOOP 1ST provider to go public IPO Fall 2014 (NASDAQ: HDP) subscription customers556 employees across 740+ countriestechnology partners 1350+ 17TM Hortonworks Company Profile
  9. 9. Page 9 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Two great Use cases to realize a dramatic cost savings… ✚ EDW Optimization OPERATIONS 50% ANALYTICS 20% ETL PROCESS 30% OPERATIONS 50% ANALYTICS 50% Current Reality EDW at capacity: some usage from low value workloads Older data archived, unavailable for ongoing exploration Source data often discarded Augment w/ Hadoop Free up EDW resources from low value tasks Keep 100% of source data and historical data for ongoing exploration Mine data for value after loading it because of schema-on-read MPP SAN Engineered System NAS HADOOP Cloud Storage $0 $20,000 $40,000 $60,000 $80,000 $180,000 Fully-loaded Cost Per Raw TB of Data (Min–Max Cost) Commodity Compute & Storage Hadoop Enables Scalable Compute & Storage at a Compelling Cost Structure Hadoop Parse, Cleanse Apply Structure, Transform Storage Costs and licensing reduction of latent systems $500,000 5 times the amount of usable storage, plus processing power, for about 30% of the cost of traditional enterprise technologies,”
  10. 10. Page 10 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Monitor Patient Vitals in Real-Time with Sensor data Problem Managing The Volumes of System Sensor Data •  In a typical hospital setting, nurses do rounds and manually monitor patient vital signs. They may visit each bed every few hours to measure and record vital signs but the patient’s condition may decline between the time of scheduled visits. •  This means that caregivers often respond to problems reactively, in situations where arriving earlier may have made a huge difference in the patient’s wellbeing. Solution Hadoop Empowers Healthcare by Converting High Volumes of Sensor Data into a Manageable Set of Data •  New wireless sensors can capture and transmit patient vitals at much higher frequencies, and these measurements can stream into a Hadoop cluster. •  Caregivers can use these signals for real-time alerts to respond more promptly to unexpected changes. •  Over time, this data can go into algorithms that proactively predict the likelihood of an emergency even before that could be detected with a bedside visit. Benefits Ø Proactively Predict Events rather than reactively Ø Real-time Alerts Ø Capture & Transmit Patient Vitals at Much Higher Frequencies Ø Improve Patient Satisfaction Ø Improve operational efficiency Ø Improved response times Ø Reduce adverse drug response times Healthcare
  11. 11. VHA Inc. Confidential information. Hadoop and Data Virtualization 11 |
  12. 12. VHA Inc. Confidential information. Since 1977 – when 30 hospital CEOs established VHA as the nation’s first membership organization for acute care providers – the company has applied knowledge in analytics, contracting, consulting and network development to help members achieve their strategic objectives. VHA is based in Irving, Texas, and has 11 regional offices. Our unique family of companies brings industry-leading innovation and expertise to help organizations thrive in a dynamic health care environment: A legacy of innovation "   As the first hospital membership organization, we were born of innovation. "   We introduced the concept of supply networks, drawing on the power of collaboration to achieve greater cost savings for health organizations. "   We pioneered comparative data analysis and exchange as well as the industry’s first committed contracting program and private label program, all of which continue to deliver exceptional value today. Who is VHA? In 2013, VHA delivered $2.2 billion in savings and additional value to members. 12 |
  13. 13. VHA Inc. Confidential information. At UHC, collaboration drives success. For nearly 30 years, UHC has been a catalyzing force in: "   Supporting academic medical centers in their efforts "   Fostering new ideas "   Building solid relationships that withstand the test of time Our members have been agents of progress—driving the advancement of patient care, medical knowledge, and fiscal acuity by coming together to candidly discuss their ideas and vision. UHC continually expands and strengthens services to offer insights and solutions to members. As the leader in providing relevant comparative data and as a single-source provider of information and insights that promote change, UHC has created UHC Intelligence™, a versatile suite of business tools that power performance improvement. Who is UHC? 13 | UHC offers Transparency.
  14. 14. VHA Inc. Confidential information. UHC and VHA have a track record of partnering successfully History of Collaboration 14 | 1998 – Current Novation was formed in 1998 and is a joint venture between UHC and VHA. 1998 – 2011 A supply chain improvement company focused on non-acute care market, Provista was formed in 1998 as a joint venture between UHC and VHA. VHA acquired UHC’s minority interest in 2011. 2013 – Current A subsidiary of Novation, aptitude is the health care industry's first online direct contracting marketplace. UHC and VHA have formed the largest contracting services company Since forming Novation in 1998, UHC and VHA have worked in partnership to grow Novation to the nation’s largest contracting services company, representing more than $50 billion in purchasing volume and delivering more than $1 billion in contract price savings for UHC and VHA members and other affiliate organizations over the past five years. We have continued to expand on this successful partnership. Our advanced shared analytic capabilities and innovative cost management tools have helped purchasing through Novation to save an additional $1.4 billion, over the last four years.
  15. 15. VHA Inc. Confidential information. UHC and VHA Have Complementary Strengths Which When Combined Create Enhanced Member Value A Powerful Network The Nation’s Leading Academic Medical Centers and Community Health Care Providers Foundation Supply Chain Management Advisory Services Comprehensive Data and Analytics Core Capabilities Targeted Solutions Customized Insights NewCo 15 |
  16. 16. VHA Inc. Confidential information. Our new organization offers superior access to leading practices, networking and knowledge sharing for our members, which includes the majority of this country’s preeminent academic medical centers and community- based health systems. The newly combined organization: "   Serves more than 5,200 health system members and affiliates. "   Provides services to nearly 30 percent of the nation’s hospitals, including virtually all the academic medical centers and health systems. "   Serves more than 118,000 non-acute health care customers. "   Includes more than $50 billion in purchasing volume, the largest in the industry. "   Provides services to all of the top 10 hospitals on the US News and World Reports annual list of America’s Top Hospitals. "   Delivers the industry’s most in-depth clinical data combined with the nation’s most robust supply chain data to address cost and quality. VHA and UHC Are Now the Largest Member-owned Health Care Company 16 |
  17. 17. VHA Inc. Confidential information. Context 17 |
  18. 18. VHA Inc. Confidential information. Move from silos to streamlined data processing…. 18 | DataInternal External Data Logic Apps Internal External Internal External Internal External Clinical Supply Academic Process Logic Apps Logic Apps Process Process Data Data Process Logic Clinical Supply Academic Apps Apps Apps Logic Logic
  19. 19. VHA Inc. Confidential information. ManagementAcquisition Delivery Where we want to go… 19 | Data Lake BusinessAccessLayer Data Warehouse Discovery Zone Systems of Record Oracle SQL Other Exadata Data Access Layer Applications Reports Dashboards DM Queries EDI Future Capabilities Data Gateway LandingZone HCO XYZ Data Aggregators Raw Data Useful Information Data Owners, Technical Support Data Stewards, Data SME/Scientist, Analyst, Advisors Advisors, Analysts, Members, Collaboratives DM DM Data Owners, Technical Support Data Stewards, Data SME’s, Data Scientists, Analyst, Advisors, Data QA Advisors, Analysts, Members, Collaboratives Discovery Zone Posts
  20. 20. VHA Inc. Confidential information. Let’s get rolling… 20 |
  21. 21. VHA Inc. Confidential information. ManagementAcquisition Delivery Where we want to go… 21 | Data Lake BusinessAccessLayer Data Warehouse Discovery Zone Systems of Record Oracle SQL Other Exadata Data Access Layer Applications Reports Dashboards DM Queries EDI Future Capabilities Data Gateway LandingZone HCO XYZ Data Aggregators Raw Data Useful Information Data Owners, Technical Support Data Stewards, Data SME/Scientist, Analyst, Advisors Advisors, Analysts, Members, Collaboratives DM DM Data Owners, Technical Support Data Stewards, Data SME’s, Data Scientists, Analyst, Advisors, Data QA Advisors, Analysts, Members, Collaboratives Discovery Zone Posts
  22. 22. VHA Inc. Confidential information. Built on Hadoop "   Hortonworks is the distribution Business Need "   Move to a modern data architecture –  Disparate data sources into a single data lake –  Flexibility of schema on read (not write) –  Ease of doing analysis on subsets of large data sets –  Capture all types of data (even data that might only have a future purpose) –  Lower cost to store large amounts of data Data Lake 22 | Data Lake
  23. 23. VHA Inc. Confidential information. Area to discover value from data Access roles: "   Data scientists and SMEs "   Product Managers "   Analysts "   Data Stewards Challenge "   Business users have been trained to use SQL or CSV exports "   Introduction of Hadoop will require training on PIG and HIVE for access "   Possibility of slowing down adoption and deriving value from new solution Data Discovery 23 | Discovery Zone
  24. 24. VHA Inc. Confidential information. Utilize data virtualization "   “Data virtualization is an umbrella term used to describe any approach to data management that allows an application to retrieve and manipulate data without requiring technical details about the data, such as how it is formatted or where it is physically located” – Margaret Rouse, TechTarget.com Our solution… 24 | Data Lake Discovery Zone
  25. 25. VHA Inc. Confidential information. Proven platform "   Denodo is our DV platform Successes in our company " Salesforce reporting environment (cloud based plug-in) "   Physician dashboard (disparate data sources) Data Virtualization 25 |
  26. 26. VHA Inc. Confidential information. Discovery Zone "   Utilize Denodo HDFS, HBase and Map Reduce custom wrappers "   Abstract data from lake –  Protects data source asset –  Enhanced security "   Simplified access for data discovery users –  Can use SQL to query "   Easy to augment discovery process –  Can pull in other sources of data to DV view (Excel, PDF, Websites) Data Virtualization for Discovery Zone 26 |
  27. 27. VHA Inc. Confidential information. Discovery zone presentation layer Virtual data views Data Lake Systems of record Architecture 27 |
  28. 28. VHA Inc. Confidential information. Data Lake approach on Hadoop "   Simplifies data management "   reduces data costs "   Scalable "   Flexibility Data Virtualization "   Simplified data access "   Less training for business users "   Faster data discovery "   Augmented discovery process (adding new sources) Recommendation and Benefits 28 |
  29. 29. Data Virtualization Ravi Shankar Chief Marketing Officer
  30. 30. © 2015 Denodo Technologies What is Data Virtualization? Data Virtualization combines disparate data sources into a single “virtual” data layer (aka information fabric abstraction) that provides unified access and integrated data services to consuming applications in real-time (right-time).
  31. 31. © 2015 Denodo Technologies
  32. 32. © 2015 Denodo Technologies Data Virtualization Capabilities Data Virtualization Logical abstraction & decoupling Data federation Real-time, hybrid, cache Semantic integration & data quality- structured & unstructured Agile data services provisioning Unified data governance & security
  33. 33. © 2015 Denodo Technologies Benefits of Data Virtualization Better Quality Information §  Focus on Business Information Needs §  Include Web / Cloud, Big Data, Unstructured, Streaming §  Bigger volumes, richer/easier access to data Lower Cost & Agility §  Lower Integration Costs by 80% §  Flexibility to Change §  Real-time (on-demand) Data Services Fast Time to Solution §  Projects in 4-6 Weeks §  ROI in <6 months §  Adds New IT and Business Capabilities
  34. 34. © 2015 Denodo Technologies Data Virtualization – Use Cases Agile Business Intelligence Big Data, Cloud Integration Agile Single View Applications Data Services Data Virtualization Access new data sources 60% faster with change requests met in just a few days with IT using 40% less analyst time to support. Reduced back-office workload by more than 50%. Increased First Call Resolution rate to over 90% and customer satisfaction to over 94%. Improved asset performance and proactive maintenance. Increased revenue from sale of services and parts. Reduced warranty costs of parts failure. Reduced time to create and provision data service from 180 hours to 8 hours.
  35. 35. © 2015 Denodo Technologies About Denodo Description Denodo is the leader in data virtualization offering the broadest access to structured and unstructured data exceeding the performance needs of data-intensive organizations for both analytical and operational use cases delivered in a much shorter timeframe than traditional data integration tools. Headquarters Palo Alto, CA. Offices in New York, London, Madrid, A Coruña, Chicago, Boise, Houston and Munich. Worldwide sales network through partners. Leadership Longest continuous focus on data virtualization and data services. Product leadership. Solutions expertise. Customers 250+ customers worldwide, including many F500 and G2000 companies across key verticals, such as healthcare, life sciences, technology, media, telecommunications, insurance, financial services, consumer/retail, energy and public sector.
  36. 36. Page 36 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Next Steps… Download the Hortonworks Sandbox Learn Hadoop Build Your Analytic App Try Hadoop Learn more about our partnerships and VHA http://www.denodo.com http://vha.com Download Denodo Express for Free The fastest way to Data Virtualization

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