More than any other big data technology, Hadoop has captured the interest and attention of business leaders because it redefines the economics of data management and enables the discovery of relationships and insights in data sets that were previously hidden or out of reach. According to Gartner, 68 percent of Hadoop adoption is initiated within the C-suite. To respond to this interest, organizations will need to understand how Hadoop works, how it can complement existing systems and workloads to modernize the data pipeline, how it can deliver the business value expected, and how you can prepare to implement it and get started more easily. In this session, you will get answers to these pressing questions from a panel of Dell customers who have relied on Dell’s experience and long-standing partnership with Cloudera to successfully design and deploy Hadoop systems that helped transform the business with data.

1. MT59: What is the big deal about
Hadoop?

2. • Director of Enterprise Technologists
• Leads the team of solutions architects with expertise in big data
and application acceleration
• Works with customers to transform IT into better business
outcomes
• Masters of Business Administration from the University of St. Thomas
• Masters of Fine Art from Cranbrook Academy of Art
• Certifications for ITIL v3 Foundation and Services Strategy
• Seventeen years in technology
Anthony Dina

3. Panelists
David Mitchell
CTO, Cloud Services
Siemens
Shawn Strande
Deputy Director
San Diego
Supercomputer Center
Shawn Streett
VP of Technology
Merkle

4. Organizations actively using data grow 50%
faster than laggards.
50%
39% 42%
( 2 0 14 ) ( 2 0 1 5 )
The number of
organizations who
understand the
benefits of big data
grew slightly.
Source: Dell Global Technology Adoptoin Index, 2015

5. Older technology
can’t keep up
The ability to scale to support all data
and unpredictable workloads means
effective data management and data
integration are key priorities
Data silos hinder
decision-making
Need to analyze all data,
regardless of type or where it
resides – and apply to use cases
Determining the
value
IT/business alignment on
strategic business objectives
and use cases is critical to
achieving ROI from all data
But there are challenges that must be addressed.

6. Address data
challenges
holistically,
yet modularly.

7. How data is moved and prepared
for analysis
Data integration, aggregation
and transformation
Where data
originates
Databases
Social media
Sensor data
Devices
LOB applications
Cloud
External sources
Where data is
analyzed
Analytical engine
Business
intelligence
In-memory
computing
Enterprise data
warehouse
The basics of big data and analytics

8. Case study: Dell-on-Dell data journey outcomes
70%
Reduction in access to
enterprise data
sources
~50%
Reduction in non-
standard reports/KPIs
40%
Increase in automation
of sales reports &
dashboards
60%
Faster response time
for predictive and
prescriptive analytics
>20%
Increase in analytics
capability
~50%
Reduction in pan-Dell
BI spend

9. David Mitchell
CTO, Coud Services
David currently serves as CTO, Cloud Services at
Siemens PLM Software. He has oversight of delivering
the Omneo big data analytics platform to customers
and implementing the PL software suite into the
cloud.
David gained extensive knowledge of Hadoop, big
data, and cloud-based delivery systems throughout
his 29 years in the development and application of
PLM (Product Lifecycle Management) technology. He
has applied PLM technologies across diverse
industries including Electronics & Semiconductor,
Automotive, Aerospace & Defense, Heavy Industry,
Machinery, Shipbuilding, and Consumer Products.
David holds a Bachelor of Science degree in
Computer Science from California State University
Fresno.

10. Siemens saves $15-25M
annually
Challenges
• Supply chain quality assurance
• Supplier and manufacturing controls
• Monitoring
• Full 360° customer view
Results from Hadoop
• Annual savings between USD $15-25M
• Ability to identify and address supply chain
issues in near real-time

11. Shawn Streett
Vice President of IT Managed Hosting
Shawn is the Vice President of IT Managed Hosting at
Merkle. He leads the Operations and Engineering teams
responsible for providing scalable and secure enterprise
class infrastructure that is the foundation for Merkle’s
world class CRM solutions. Shawn has 20 years of IT
experience with 15 years focused on managing multi-
tenant hosted environments. Shawn specializes in driving
operational efficiency by leveraging the ITIL framework as
well as designing scalable, multi-tenant, utility based
solutions.
Prior to joining Merkle, Shawn led the Managed Hosting
Operations and Engineering teams at Verizon Business
where he managed the internet presence of Fortune 500
customers.
Shawn received his Masters degree in Information
Systems Management from University of Maryland
Baltimore County.

12. Merkle unifies customer data
Challenges
• Managing the volume of data
• Coordinating many customer touchpoints
Results from Hadoop
• Predictive analytics now powered by one
year’s data.
• 7-10X faster processing performance.
• 60% TCO savings with Dell systems.

13. Shawn Strande
Deputy Director
Shawn Strande is the Deputy Director at the San Diego
Supercomputer Center. He is also the Co-PI and
Project Manager for Comet, a new HPC system that is
targeted at serving the “long tail” of science. He has
been involved with high performance computing since
1982 when he started his career at the NASA Ames
Research Center performing wind tunnel tests and
computational aerodynamics studies. Since then he
has worked primarily in higher education and research
computing at San Diego Supercomputer Center, the
University of San Diego, and the National Center for
Atmospheric Research. He holds an MS in Aeronautics
and Astronautics from Stanford University, and a BS in
Aeronautical Engineering from Cal Poly, Pomona.

14. SDSC improved resource
efficiency
Challenges
• Provide new and experimental resource
platforms to research community.
• Explore HPC systems for use in big data
frameworks.
Results from Hadoop
• Recognized performance gains.
• Improved the efficiency of resource use.
• Determined that flexibility won’t sacrifice
performance.

15. For more information,
please visit:
dell.com/Hadoop
dell.com/bigdata
Or email us: Hadoop@dell.com

16. 3 things to do next
Get inspired. Talk to other Dell customers, learn what
they’re doing, and translate that into relevant use cases
for your organization.
Get going. Schedule time with a Dell Enterprise
Technologist to understand whether Hadoop is right for
your environment and use cases.
Get prepared. Address the challenges in the “wheel”
one by one or holistically to build a future-ready data
architecture.

17. Thank you!