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A Big Data Journey

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Big data isn't really about new technology. Sure that's a huge part of it, but the bigger change is in seeing a new way to do data and analytics. The shift in mindset for developers, managers, and business partners is a significant one and requires an intentional process for implementing that change.

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A Big Data Journey

  1. 1. A Big Data Journey Growing a Hadoop-based Capability Paul Boal – VP Delivery - Amitech Solutions January 7, 2016 1
  2. 2. Big Data Momentum 2 Create a Sense of Urgency: What can’t we do today? Are we missing key opportunities? * The model here is from Kotter International – The 8-Step Process for Leading Change • Experiencing pain from existing infrastructure • Cost of growing and upgrading • Addressing “real-time” demands
  3. 3. Big Data Momentum 3 Build a Guiding Coalition: Who are potential users and partners? • Build demo and do a road show – get people thinking • Ask others who have done it to speak • Remain open to potential partners; but… • Be discerning about who you pick
  4. 4. Big Data Momentum 4 Form Strategic Vision and Initiatives: Formalize the use cases and interest you hear. • Paint the big picture and show people what might be • Lay out a potential growth plan based on use cases • Highlight business value and immediate wins • Make “step 1” very easy
  5. 5. Big Data Momentum 5 Enlist a Volunteer Army: Identify customer and IT teams who are excited by change. • Find a customer who is excited by doing things in new ways • Leverage IT relationships to move new technology smoothly • Find IT teams and individuals are excited about something new
  6. 6. Big Data Momentum 6 Enable Action by Removing Barriers: Start small and align growth to business needs. • Start as simply and cheaply as you can for the first POC or use case • Leverage non-IT dollars when possible • Align investment to specific business needs • Build incrementally
  7. 7. Big Data Momentum 7 Generate Short- Term Wins: Execute quickly and repeatedly • Leverage an Agile approach • Deliver small but valuable features quickly and frequently • Focus on what users need, what you want them to need
  8. 8. Big Data Momentum 8 Sustain Acceleration: Share success and keep selling internally • Develop a communication plan that includes sharing the quick wins to a broad mid-level and executive leadership audience • Don’t drop out of sales and communication mode once the first implementation starts… keep shelling future projects
  9. 9. Big Data Momentum 9 Institute Change: Let Hadoop be your default platform. • Switch from “we’ll use Hadoop if we have to” to “we’ll use Hadoop unless we can’t do it there.” • Take on some small and simple projects. They can be quick wins, and they’re good opportunities for new developers to learn, too.
  10. 10. Example Solutions • Chart Search (POC) – search has “wow factor” • System Archival – Simple process to archive Omnicell data and expose for reporting with SAP Business Objects • Real-Time Clinical Analytics – Documentation Improvement and the big vision of what Hadoop could do based on Epic data • Lab Text Search – Easier way to dig through Epic lab notes using Hive, Solr, some custom code and various integration pieces, and reporting via SAP Business Objects • Epic Access Log – Got those billions of rows of Epic access log data out of our reporting database, compressed, and easier to report on 10
  11. 11. Challenges and Lessons • Leverage other departments and projects, including their funding • Keep sharing what Hadoop can do, and write down everything you do • Build solutions and tools that are reusable and scalable • Leverage the entire Hadoop stack of related tools • Try to fail as quickly as possible, and then try something else • Build an approach / methodology that scales (e.g. Data Lake) • Don’t underestimate the learning curve • Leverage polyglot developers • Spend extra time with traditional data warehouse and ETL developers • Pay attention to versions and learn how to upgrade quickly 11

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