The Efficient Big data Platform - IDC 360, Copenhagen

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- Gain insight into how requirements on higher data performance increases at an exponential rate
- Find out why a tight relationship with customers is key and how to adopt diverse data and real-time analysis tools
- Learn why a brand new efficient infrastructure platform is needed for big data and how to build it

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The Efficient Big data Platform - IDC 360, Copenhagen

  1. 1. www.huawei.com The Efficient Big Data Platform Petri Pekkarinen, Marketing Director, IT Product Line, Huawei Enterprise IDC's 360 Degress Conference in Copenhagen January 23rd 2014 HUAWEI TECHNOLOGIES CO., LTD.
  2. 2. Contents 1 Huawei Enterprise Introduction 2 The Efficient Big Data Platform HUAWEI TECHNOLOGIES CO., LTD. Huawei proprietary. No spread without permission. Page 2
  3. 3. Huawei - A Global Company A Global Footprint Germany  14 regions and 140+ branches with business operations  150,000 employees from 150+ countries  28 joint innovation centers and 45 training centers The Netherlands Hungary Romania Bahrain India UAE China Mexico Shenzhen-based HQ Accounting Shared Services Center Bid center (in construction) Logistics center and transit station R&D center Training center Technical assistance center Malaysia Brazil Mauritius Argentina HUAWEI TECHNOLOGIES CO., LTD. Huawei proprietary. No spread without permission. Page 3
  4. 4. Driving ICT Convergence to New Dimension IT Consumerization Client/Processing terminal/Data terminal IT Mainframe computer/TC Server/Client Networking Collaboration Security 1950’s 1970’s 1990’s 2000’s 2009 Virtualization Big Data Analog communications CT ICT convergence era 2013…… Digital communications Mobile narrowband HUAWEI TECHNOLOGIES CO., LTD. Mobile broadband IT Mobilization IT Virtualization Huawei proprietary. No spread without permission. Page 4
  5. 5. Huawei Enterprise ICT Product and Solution Portfolio Bring Your Own Device ICT Software Defined Network Cloud Data Center Unified Management UC&C Telepresence UC VC/TP IVS Contact Center Security Enterprise Network & Enterprise Wireless DC Network Data Center Infrastructure IP Network Server Storage HUAWEI TECHNOLOGIES CO., LTD. GSM-R/LTE VDI Huawei proprietary. No spread without permission. OTN/MSTP/Microwave Networking Power Page 5
  6. 6. Contents 1 Huawei Enterprise Introduction 2 The Efficient Big Data Platform Analysis of X in 1 Big Data Technology HUAWEI TECHNOLOGIES CO., LTD. Huawei proprietary. No spread without permission. Page 6
  7. 7. The Digital Universe 2020 = 35 ZB 2013 = 3.6 ZB 2009 = 0.8 ZB *Zettabyte = 1 trillion gigabytes *Source: IDC Digital Universe Study HUAWEI TECHNOLOGIES CO., LTD. Huawei proprietary. No spread without permission. Page 7
  8. 8. Conflicting 4 V Model • Large capacity • Volumes are groving quickly • Variety of sources • Diverse data types Volume Variety Value Velocity • Low value density • Near real-time responses IDC: four characteristics of big data HUAWEI TECHNOLOGIES CO., LTD. Huawei proprietary. No spread without permission. Page 8
  9. 9. Capacity vs. Performance Capacity Performance HUAWEI TECHNOLOGIES CO., LTD. Huawei proprietary. No spread without permission. Page 9
  10. 10. Tools to tackle Big Data? HUAWEI TECHNOLOGIES CO., LTD. Huawei proprietary. No spread without permission. Page 10
  11. 11. Driving Force of Big Data 1 • Collection Storage — open architecture, gradual scale out, and integration of near-line systems and offline systems 2 Storage • Big Data Analysis — compound data, unified storage of multiple data sources, unified query, and sharing of storage resources 3 • Management Archiving — lifecycle management of mass data at a low cost and high energy efficiency 4 Analysis • HUAWEI TECHNOLOGIES CO., LTD. Maintenance — easy to use Huawei proprietary. No spread without permission. Page 11
  12. 12. Paradigm shift in Big Data architecture design Core Paradigm shift in big data architecture design Proprietary Hardware HUAWEI TECHNOLOGIES CO., LTD. Commodity Hardware Central Storage Distributed Storage Scale-up Scale-out Serial Computing Parallel Computing Huawei proprietary. No spread without permission. Page 12 Big Data Life Cycle Platform
  13. 13. Core Best efficiency platform of big data Huawei Big Data Storage Strategies HUAWEI TECHNOLOGIES CO., LTD. Maximized data value Fine-grained data lifecycle management on a single platform Fundamental innovation philosophy 3 in 1 architecture Advanced platform architecture Industry's highest-performance distributed big data storage system Huawei proprietary. No spread without permission. Page 13
  14. 14. Big Data Life Cycle Platform Flexible Scale-Out Platform Efficient and Intelligent Unified Management Reliable and redundant Big Data Life Cycle Platform Information silos eliminated Multiple interfaces and ability to integrate Big Data Infrastructure must achieve high efficiency besides meeting the requirements of capacity, performance and diversity of data HUAWEI TECHNOLOGIES CO., LTD. Huawei proprietary. No spread without permission. Page 14
  15. 15. Big Data in Practice Mount Sinai Spotify Amazon Bank data repository • Mount Sinai hospital in New York optimized its patients first 8-12 hours in hospital by running hundreds of simulations. • Achieved financial effect of adding 100 new beds without actually adding new • The heart of Spotify is a massive and growing data-set. • Most data is usercentric • Data is utilized to provide music recommendations, advertisement and many other things. • Amazon harvests the buying patterns (transactions) or its customers to recommend complementary products for up-sell. • It also uses communitygenerated ratings and tips to further guide buying decisions • Customer data predicted to grow from 2 PB to 9 PB by 2015. • Big Data solution applied to compliance requirement of keeping customer transaction records for 15 years. Source: Supply Demand Chain Executive 2013, Spotify Labs 2013 HUAWEI TECHNOLOGIES CO., LTD. Huawei proprietary. No spread without permission. Page 15
  16. 16. Getting Started with The Big Data Initiative MEASURE Measure RESULTS results Define Objective Activate teams Implement Activity Be Strategic. Get tactical. Be analytical. Get Buy-in. Figure out the business case. What are your business goals? Decide what questions need to be asked. What are the pain points? Where the data will come from? Identifying right data is the key. Get buy-in from the whole team and locate right people. Big Data is all about team work. HUAWEI TECHNOLOGIES CO., LTD. Huawei proprietary. No spread without permission. Page 16
  17. 17. Thank you www.huawei.com Copyright©2011 Huawei Technologies Co., Ltd. All Rights Reserved. The information in this document may contain predictive statements including, without limitation, statements regarding the future financial and operating results, future product portfolio, new technology, etc. There are a number of factors that could cause actual results and developments to differ materially from those expressed or implied in the predictive statements. Therefore, such information is provided for reference purpose only and constitutes neither an offer nor an acceptance. Huawei may change the information at any time without notice.

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