The document discusses how big data is driving new investments in tools and services to analyze the growing volume of structured and unstructured data from sources such as sensors, social media, and e-commerce to gain insights in areas like consumer behavior, operational efficiency, and predictive healthcare. It provides examples of how Intel is using big data analytics for applications like reducing manufacturing test times and improving reseller channel management. The document also outlines Intel's vision and technologies for enabling end-to-end big data solutions from the edge to the data center to help lower the time and cost of delivering big data insights.

1. Unlocking the Intelligence in
Big Data
Ron Kasabian
General Manager Big Data Solutions
Intel Corporation

2. 2
What’s Driving Big Data?
40%
AVERAGE
SERVER COST
90%
STORAGE
COST / GBLower Cost of
Compute & Storage
Volume &
Type of Data
10X
Data growth by 2016
90% unstructured 1
New Investments in
Tools & Services
$17B
2012
$7B
2010
$3B
1: IDC Digital Universe Study December 2012
2: Intel Forecast
3: IDC WW Big Data Forecast
2002 - 20122
2002 - 20122
20173

3. 3
Business intelligence
Biodiversity trends
Customer purchase habits
Epidemic migration paths
Falls prevention for the elderly
Extreme weather prediction
Insight
Untapped Value of Big Data
Medical Scans
Social Media
News &
Journals
Satellite
Images
E-commerce
TV &
Video
Transport
Analyze/
Predict
Sensors & Surveillance
Correlate

4. 4
Today’s Big Data Insights
Consumer
Behavior
Security &
Risk Management
Operational
Efficiency
Location Aware
Ad Placement
Buyer Protection
Program
Personalized
Preventive Care
Claim Fraud
Reduction
Traffic
Optimization
Smart Energy
Grid

5. 5
Big Data in Action at Intel
Test Time Reduction:
Predictive analytics in manufacturing to identify failing parts quickly
Expected to save ~$20M in 2013
Reseller Channel Management:
Improved reseller engagement with customer profile analytics
Increased sales by $5M per Qtr. while reducing costs
Malware Detection:
Analyzing ~4B access events per day at the system, network, and
application levels l to discover of new malware threats before they
arise.

6. 6
Eric Dishman
Intel Fellow,
General Manager, Health Strategy
and Solutions Group
Datacenter and Connected
Systems Group

7. 7
End To End Big Data
Vision
Sensors and Devices
Generating Data
Device Gateways
E2E Analytics

8. 8
Single Machine or Device Focus
• Monitor a single device
• Requires Human Intervention
• Preventative Maintenance and
Monitoring
Aggregated Systems Focus
• Many devices and systems
• Autonomous decisions &
real-time optimization
• Transformative business
opportunities
Internet of Things Analytics Evolution
From Devices to Systems, Monitoring to Automation
Analytics Today Analytics Future

9. 9
Barriers impeding Big Data Adoption
ComplexityCost Confidentiality

10. 10
Cache
Acceleration
Software
Intel®
Enterprise
Edition for
Lustre
AIM Suite
Intel’s Role in Big Data
Lower the Time and Cost to deliver Big Data Solutions
End to End
Analytics
Edge Devices
Network
Storage
Server
Other names and brands may be claimed as the property of others
DC Silicon/Hardware
Ecosystem
Enabling

11. 11
Xeon 5600
HDD
1GbE
<7 minutes
The Power of Platform Solutions
TeraSort for 1TB sort:
>4 hour process time
Upgrade
processor
~50%
reduction
Upgrade
to SSD
~80%
reduction
Upgrade
to 10GbE
~50%
reduction
Intel
distribution
~40%
reduction
Other brands and names are the property of their respective owners

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Intel® Distribution for Apache Hadoop
Granular access control in HBase
Up to 20X faster decryption with AES-NI*
30X faster Terasort on Intel® Xeon
processors, Intel 10GbE, and SSD
Up to 8.5X faster queries in Hive*
Up to 30% gain in job performance,
automated by Intel® Active Tuner
*Based on internal testing
Rhino
Cloud
HPC
Common authentication,
access control, auditing
Bringing MapReduce to
data on Lustre FS
Optimizing Hadoop for
virtualization & cloud
Drive down complexity , Increase performance on IA,
Secure the data

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Challenge:
Extreme
Complexity
How do you
effectively
create and
then analyze
something like
this?

14. 14
Open Source Relationship Computing
Tools To Build & Analyze Graphs For Big Data Mining, Machine Learning
Intel® Graph Builder
(Intel Labs)
GraphLab
(CMU ISTC for Cloud Computing)
Data

15. 15
Intel’s Big Data Research
INVESTING IN 1000’S OF SCIENTISTS ACROSS
INTEL, ACADEMIA, INDUSTRY & GOVERNMENT LABS
Future Data
Experiences
Distributed
Data Computing
Machine Learning
Algorithms
Data Ecosystem
Infrastructure
Analytical
Applications

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