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Big Data launch keynote Singapore Patrick Buddenbaum
 

Big Data launch keynote Singapore Patrick Buddenbaum

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    Big Data launch keynote Singapore Patrick Buddenbaum Big Data launch keynote Singapore Patrick Buddenbaum Presentation Transcript

    • Open Platform for Next-Gen Analytics Patrick Buddenbaum Director, Enterprise Segment Datacenter and Connected System Group
    • Legal InformationToday’s presentations contain forward-looking statements. All statements made that are not historical facts are subject to a number ofrisks and uncertainties, and actual results may differ materially. Please refer to our most recent Earnings Release and our most recentForm 10-Q or 10-K filing for more information on the risk factors that could cause actual results to differ.If we use any non-GAAP financial measures during the presentations, you will find on our website, intc.com, the required reconciliationto the most directly comparable GAAP financial measure.INFORMATION IN THIS DOCUMENT IS PROVIDED “AS IS”. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OROTHERWISE, TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. INTEL ASSUMES NO LIABILITYWHATSOEVER AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY, RELATING TO THIS INFORMATIONINCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, ORINFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT.Performance tests and ratings are measured using specific computer systems and/or components and reflect the approximateperformance of Intel products as measured by those tests. Any difference in system hardware or software design or configuration mayaffect actual performance. Buyers should consult other sources of information to evaluate the performance of systems or componentsthey are considering purchasing. For more information on performance tests and on the performance of Intel products, referencewww.intel.com/software/products.Software and workloads used in performance tests may have been optimized for performance only on Intelmicroprocessors. 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 otherinformation and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of thatproduct when combined with other products.Intel product plans in this presentation do not constitute Intel plan of record product roadmaps. Please contact your Intel representativeto obtain Intels current plan of record product roadmaps.
    • Making Sense of One Petabyte 50x 13y 11s To read To view To generatein Library of Congress as HD Video in 2012 Sources: IDC 2012, The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East http://blogs.loc.gov/digitalpreservation/2011/07/transferring-libraries-of-congress-of-data/
    • Analysis of Data can Transform Society Enhance understanding, drive innovation, and accelerate medical cures Create new business models and transform organizational processes Improve public safety and increase energy efficiency with smart grids
    • Virtuous Cycle of Data-Driven User Experience Richer user experiences Richer data to analyze CLIENTS Richer data CLOUD from devices INTELLIGENT SYSTEMS
    • Democratize Data Analysis from Edge to Cloud Unlock value in silicon Support open platforms Intelligent Systems Framework
    • Intel at the Intersection of Big Data Forces HPC Cloud Open Source Intel® TrueScale InfinibandEnabling exascale computing Helping enterprises build Contributing code and on massive data sets open interoperable clouds fostering ecosystem * Other names and brands may be claimed as the property of others.
    • History of Intel and Apache Hadoop* Product Optimization Tuning Benchmarking Release 2.0Research Telco Smart City (2012) Release 1.0 HiBench Healthcare Retail (2011) Web Open Cirrus*2009 2013 * Other names and brands may be claimed as the property of others.
    • Announcing Availability ofIntel® Distribution for Apache Hadoop* software Hardware-enhanced performance & security Enables partner innovation in analytics Strengthens Apache Hadoop* ecosystem * Other names and brands may be claimed as the property of others.
    • Intel® Distribution for Apache Hadoop* software • Up to 20x faster decryption with AES-NI* • Granular access controls for Hbase • Optimized with SSD and Cache Acceleration • Up to 8.5X faster queries in Hive • Hardware-enhanced compression with AVX & SSE4.2 • Automated tuning with Intel® Active Tuner *Based on internal testing
    • Intel Distribution for Apache Hadoop* software Intel® Manager for Apache Hadoop software Deployment, Configuration, Monitoring, Alerts, and Security Data Exchange Oozie Pig Mahout R connectors Hive Sqoop Workflow Scripting Machine Learning Statistics SQL Query Columnar Store HBase Coordination Zookeeper YARN (MRv2) Distributed Processing Framework Log Collector Flume HDFS Hadoop Distributed File SystemIntel uniqueIntel enhancements contributed back to open sourceOpen source components included without change * Other names and brands may be claimed as the property of others.
    • Sold with World-Class Intel Support Annual Subscription with Technical Support Support Coverage Options: 24x7 or 8x5 Via Solution Vendors and Service Providers
    • Continued InnovationPipeline of innovation from Intel Labs • Machine Learning, Graph Lab & Graph Builder • Data-Intensive Algorithms & Computer ArchitectureRoadmap of open source from Intel Software • Project Rhino: Hardening Apache Hadoop • Project Panthera: Standard SQL on Apache Hadoop * Other names and brands may be claimed as the property of others.
    • Backed by Broad Portfolio of Datacenter Products Software Cache Acceleration Software Server Storage & Memory Network
    • Antoine Hue Regional Sales Manager APJC Data Center* Other names and brands may be claimed as the property of others.
    • >4 Hours to 7 Minutes Intel Platform Benefits for Sorting 1TB Data>4 Hours Intel® Xeon® E5-2690 processor ~50% Intel® SSD improved 520 Intel® Deploy Intel Series 10GbE Distribution Adapters for Apache ~80% Hadoop* Intel® Xeon 5690 improved ~50% ~40% improved improved 7200 HDD 1GbE Adapters ~7 mins 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. Source: Intel Internal testing For more information go to : intel.com/performance `
    • Proven in the EnterpriseUsing the Intel® Distribution to gain tremendous results IT * Other names and brands may be claimed as the property of others.
    • Customer Video
    • With Broad Support from the Ecosystem * Other names and brands may be claimed as the property of others.
    • Chris LevanesDirector of Cloud Business Development Savvis Asia
    • The Promise of Big Data Requires Industrialized Services
    • Big Data Customers Need• Trusted, mission critical, high-powered computing solutions• Robust security options• Enterprise-grade global storage capabilities BIG• Highly available compute power• Cloud-based economic model DATA• Expert consulting services to aide in transformation of data assets
    • A Longstanding Successful Alliance
    • Enterprise-Grade, Industrialized Infrastructure Services forIntel Distribution for Apache Hadoop Software
    • Summary• Intel announced Intel® Distribution for Apache Hadoop* software• Delivers performance, security and ease of deployment• Backed by broad portfolio of Intel data center products• Contributes to open source and supports Apache Hadoop• Enabling ecosystem of partners to innovate on analytics solutions
    • Q&A
    • Legal DisclaimersAll products, computer systems, dates, and figures specified are preliminary based on current expectations, and are subject to change without notice.Intel processor numbers are not a measure of performance. Processor numbers differentiate features within each processor family, not acrossdifferent processor families. Go to: http://www.intel.com/products/processor_numberIntel, processors, chipsets, and desktop boards may contain design defects or errors known as errata, which may cause the product to deviate frompublished specifications. Current characterized errata are available on request.Intel® Virtualization Technology requires a computer system with an enabled Intel® processor, BIOS, virtual machine monitor (VMM). Functionality,performance or other benefits will vary depending on hardware and software configurations. Software applications may not be compatible with alloperating systems. Consult your PC manufacturer. For more information, visit http://www.intel.com/go/virtualizationNo computer system can provide absolute security under all conditions. Intel® Trusted Execution Technology (Intel® TXT) requires a computer systemwith Intel® Virtualization Technology, an Intel TXT-enabled processor, chipset, BIOS, Authenticated Code Modules and an Intel TXT-compatiblemeasured launched environment (MLE). Intel TXT also requires the system to contain a TPM v1.s. For more information, visithttp://www.intel.com/technology/securityIntel, Intel Xeon, Intel Atom, Intel Xeon Phi, Intel Itanium, the Intel Itanium logo, the Intel Xeon Phi logo, the Intel Xeon logo and the Intel logo aretrademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries.Other names and brands may be claimed as the property of others.Copyright © 2013, Intel Corporation. All rights reserved.
    • Apache Hadoop Performance Test Configuration 4 hours to 7 minutesCluster Configuration Head Node Hardware 1 Head Node (name node, job tracker)  1 x Dell r710 1U servers 10 Workers (data nodes, task trackers)  Intel: 2x3.47GHz Intel® Xeon® 10-Gigabit Switch: Cisco Nexus 5020 processor X5690  Memory: 48G RAM  Storage: 10K SAS HDDSoftware Configuration  Intel® Ethernet 10 Gigabit SFP+ Intel Distribution for Apache Hadoop 2.1.1  Intel® Ethernet 1 Gigabit Apache Hadoop 1.0.3 RHEL 6.3 Oracle Java 1.7.0_05 Worker Node Hardware 10 x Dell r720 2U servers  Intel: 2 x 2.90Ghz Intel® Xeon® processor E5-2690  Memory: 128G RAM  Storage: 520 Series SSDs  Intel® Ethernet 10 Gigabit SFP+  Intel® Ethernet 1 Gigabit 29