Intel Platform and Big Data: Making big data work for you. 1
From data comes insight New technologies are enabling enterprises to transform opportunity into reality by turning big data into actionable insights. 2
Make big data work for you Balance drives system performance. NETWORK COMPUTE STORAGE 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 *Other names and brands may be claimed as the property of others.
Harness the power of big data COMPUTE STORAGE NETWORK Powerful compute capacity to collect, manage, analyze and process massive data inflows. 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. 4
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 5 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.
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
Big solutions delivered at high speed 10 Gigabit Ethernet (GbE) networks allow you to quickly import large data sets for processing in multiple locations. 1 Gb 10x 10 Gb Increased bandwidth Simplified infrastructure Cost-effective deployment 7
A balanced system delivers better Hadoop* performance Import Time to input is reduced by up to 80% so you can work 5X faster. Processing Process big data in less time than before. Framework Export Increased bandwidth allows faster exporting of data. 8 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 information go to http://www.intel.com/performance. *Other names and brands may be claimed as the property of others.
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. 9 *Other names and brands may be claimed as the property of others.
We ll help you get started 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 CALL TO ACTION! Download the Getting Started with Big Data Planning Guide and discover valuable information on how to make big data work for you. http://www.intel.com/content/www/us/en/everything youeverwantedetoknowaboutbigdata.html 10
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