What Can We Make Happen? “Data Platform of Intent” Big Data Full Fidelity Analysis Unstructured Behavioral, Open, Affordable HADOOP HQLHQLHQLHQL BI Data Cube Analysis Structured, Transactional Closed, Expensive RDBS & EDW SQLSQLSQLSQL Powered by the CommunityPowered by Vendors Report On What Happened? Database of Transactions
1.What auxiliary products should we recommend? 1.What new features should our product have? 1.How can we eliminate support issues? Hadoop Innovation Use Cases … some examples
Big Data Projects on Hadoop We’re On a journey that’s just starting You Are Here….Time to get going!
But first! Education Training Certifications
#1. Form a Partnership With LOB Find a use case Identify some budget Form a project team Be willing to educate others Partner on a small POC, don’t boil the ocean Hadoop Project Success Best Practice #1
Teams are Highly Cross-Functional Product Manager (LOB) Power Analysts (IT or LOB) Business Analyst (LOB) Product Manager (LOB IT Architect (IT) Project Manager (IT/LOB)
“ By 2016 the CMO will have more budget than the CIO ” - Gartner Group Marketing The “Budget Richest” LOB?
#3. Embrace Full Fidelity Big Data Analytics Not sampled, all the data – maintains richness Don’t replicate or move the data Keep complexity and TCO low Hadoop Project Success Best Practice #3
Data Warehouse OLTP to OLAP Mapping Data Warehouse OLTP to OLAP Mapping Analyst In Summary In BI, The Analyst Was at the End of the Process Ordering App Financial App Master Data Staging OLAP Reports BI Using Data Cube Analysis Structured, Sampled Transitional, Closed, Expensive RDBS & EDW SQLSQLSQLSQL Driven by Vendors
In Big Data Analytics on Hadoop The Analyst is at the Center of the Process ApplicationApplication Analytics Data Unstructured Behavioral, Open, Affordable HADOOP HQLHQLHQLHQL Analyst Full Fidelitiy Analytics