As the big data market matures, Hadoop discussions are expanding from pure technology to how businesses can use it to drive innovation and leap-frog competition. In this session, Karmasphere will outline how to successfully deploy Hadoop projects by bringing together the right people, technology and use cases. We will discuss the optimal project team, the role of data scientists and analysts, the new big data analytics workflow and use cases for driving rapid ROI and success.

2. Volume, Variety and Velocity all increasing rapidly
Source: IBM, Oct 2012
OMG!…The Opportunity Is Huge

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4. InformationWeek 2013
There’s certainly
challenges

5. A Success Formula for a Hadoop Project
✚= =
WHAT
your
company &
you
HOW
best
practices

6. MORE BI?

8. What Can We Make Happen?
“Data Platform of Intent”
Big Data
Full
Fidelity Analysis
Unstructured
Behavioral,
Open, Affordable
HADOOP
HQL
BI
Data Cube
Analysis
Structured, Transact
ional
Closed, Expensive
RDBS & EDW
SQL
Powered by the CommunityPowered by Vendors
Report On What Happened?
Database of Transactions

9. 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

11. Another Idea
Score Your Predictive Models On Hadoop
Model Builder Model Description
Hive
UDFs
Standard
Hive

13. Reinvent Your Career
Lead
Thrive

14. This is the time
to be the
river, not the
rock

15. Big Data Projects on Hadoop
We’re On a journey that’s just starting
You Are Here….Time to get going!

16. But first!
 Education
 Training
 Certifications

17. #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

18. 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)

19. “By 2016 the CMO will have
more budget than the CIO”
- Gartner Group
Marketing The “Budget Richest” LOB?

21. #2. Use the Right Big Data Analytics tooling
• Supports the entire time
• Reuse and share for speed and efficiency
• Leverage pre-built analytics
Hadoop Project Success
Best Practice #2

22. PERSONALIZED ANALYTICS HUB

23. #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

24. 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
SQL
Driven by Vendors

25. In Big Data Analytics on Hadoop
The Analyst is at the Center of the Process
Application
AnalyticsData
Unstructured
Behavioral,
Open, Affordable
HADOOP
HQL
Analyst
Full Fidelitiy
Analytics

26. Get distracted….

27. Or
Big Data on Hadoop Project

28. Thank You
We’re happy to help
Questions