3. Make big data
work for you
Balance drives system performance.
• Run big data applications like Hadoop* on clusters
of readily available hardware
• Deliver top performance with a system balanced
between compute, storage and network
components
3
NETWORK
COMPUTE STORAGE
*Other names and brands may be claimed as the property of others.
4. Harness
the power
of big data
Powerful compute
capacity to collect,
manage, analyze and
process massive data
inflows.
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Fast, reliable storage
that keeps pace with
big data volume and
velocity.
High-throughput, low
latency network
connections to feed
the cluster and
distribute the
workload.
COMPUTE STORAGE NETWORK
5. Infrastructure
that can scale
Large, distributed, data-intensive jobs
spread data processing and analytics
across clusters of servers.
Intel® Xeon® Processor E5 Family
• Maximizes Hadoop* performance
• Enables greater platform bandwidth
• High performance/ Low latency
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Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance
tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any
change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully
evaluating your contemplated purchases, including the performance of that product when combined with other products.
For more information go to http://www.intel.com/performance.
*Other names and brands may be claimed as the property of others.
6. Big data needs big storage
Intel® Solid-State Drive
storage is efficient and
cost-effective enough
to capture and store
terabytes, if not
petabytes, of data.
• Higher performance, lower
latency than hard disk drives
• Moving quickly down the cost
curve
• Extended endurance and
reliability
6
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific
computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist
you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products.
For more information go to http://www.intel.com/performance
7. 1 Gb
10x
10 Gb
Big solutions delivered at
high speed
10 Gigabit Ethernet
(GbE) networks allow
you to quickly import
large data sets for
processing in multiple
locations.
• Increased bandwidth
• Simplified infrastructure
• Cost-effective deployment
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8. Import – Time to input is reduced by up to 80%
so you can work 5X faster.
Framework
A balanced system delivers
better Hadoop* performance
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Processing – Process big data in less time
than before.
Export – Increased bandwidth allows
faster exporting of data.
Source: Intel DCSG Hadoop Benchmark Study; http://download.intel.com/technology/itj/2002/volume06issue01/art01_hyper/vol6iss1_art01.pdf
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific
computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist
you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more informationgo to http://www.intel.com/performance .
*Other names and brands may be claimed as the property of others.
9. Transforming results
with big data
Intel platforms provide the
exceptional performance,
low latency, and high data
throughput your company needs
to take advantage of Hadoop*
and make big data work for you.
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*Other names and brands may be claimed as the property of others.
10. We’ll help you
get started
CALL TO ACTION!
Download the Getting Started with Hadoop Planning
Guide and discover valuable information on how to
make big data work for you.
http://www.intel.com/content/www/us/en/big-data/getting-
started-with-hadoop-planning-guide.html
“Big data is not a fad. Big data is
real and will become more
dominant. Its applications online
will eventually extend offline to
aid with real world challenges."
Saran Mandair
Sr. Director of Operations for Big Data Infrastructure,
Paypal
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