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2011 10-29 data-big-small-slideshare pptx
 

2011 10-29 data-big-small-slideshare pptx

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2011 10-29 data-big-small-slideshare pptx 2011 10-29 data-big-small-slideshare pptx Presentation Transcript

  • Reshaping ICTWhen Data Gets Big but Budgets Stay Small Copyright 2012 FUJITSU
  • How many drops of water are in Lake Constance? 1 Copyright 2012 FUJITSU
  • How many drops of waterare in the Lake of Konstanz?50 km³ 1km 100m 10m  50,000 (100m)3  50,000,000 (10m)3  50,000,000,000 m3 1m  50,000,000,000,000 dm3  50,000,000,000,000,000 cm3 20  1,000,000,000,000,000,000 drops ~20 drops 1cm 1dm  1 exa drops  7.5 exa grains of sand on the world beaches 2,240 exa bytes of information is the worlds ability to store in 2012. 2 Copyright 2012 FUJITSU
  • Reshaping ICTWhen Data Gets Big but Budgets Stay SmallBernhard BrandwitteVice President Storage BusinessFujitsu Technology Solutions Copyright 2012 FUJITSU
  • Some Use Cases 4 Copyright 2011 FUJITSU
  • Google/Facebook have re-invented the IT architectureEiffel Tower, 324m, Chrysler Building, 319m, Burj Khalifa, 830m,build 1889 build 1930 build 2010 5 Copyright 2012 FUJITSU
  • Big Data requires parallelization Major principles Master Standby  Shared nothing software architecture Distribute I/O to many nodes Ethernet  Local server storage (subset of data) Slaves Slaves Parallel distributed processing  Move computing to where data resides NoSQL – Designed for Big Data  Simple structure … …  Simple clustering, fault-tolerance High performance and scalability  Query to many nodes at the same time Distributed File System 6
  • Big Data process flow Text Core Data Streaming Text data Extract Clean Transform Load Analyze Collect Data store Distributed File System Visualize Act Decide 7 Copyright 2012 FUJITSU
  • Reminder: Storage Disciplines & Dimensions 100% Data Management Data Protection Probability of reuse Amount of data 0% 90+ 1+Average days since creation 0 days 30+ days days years InfiniteRecovery Time Objective (RTO) Milliseconds Seconds Minutes Hours Days 8 Copyright 2012 FUJITSU
  • Storage Disciplines & Dimensions high 100% Data Management Data Protection Probability of reuse Amount of data Cost of storage low 0% 90+ 1+Average days since creation 0 days 30+ days days years InfiniteRecovery Time Objective (RTO) Milliseconds Seconds Minutes Hours Days SSD SAS NL SAS BC SATA TapeHW Cost per Terabyte (native) €27.000 €900 €400 €300 €24 9 Copyright 2012 FUJITSU
  • Adding Big Data high Data Analysis Data Management Data Protection dismiss store Cost of storage low 90+ 1+Age nanosec. sec. hours 0 days 30+ days days years InfiniteRTO dismiss Microsec. Milliseconds Seconds Minutes Hours Days CPU Cache (L3) DRAM Flash SLC SSD SAS NL SAS BC SATA TapeCost per TB €200Mio €50K €27K €23K €900 €400 €300 €24 10 Copyright 2012 FUJITSU
  • Key take aways Vast amount of data can be used to drive business Dealing with real big data needs new IT concepts Storage capacity will continue to grow, with Big Data even faster Storage capacity will be a burden on the IT budget Do not forget your housekeeping: Back up, Archiving, Storage Tiering will reduce cost There are good reasons to go with Fujitsu 11 Copyright 2012 FUJITSU
  • V1Ten good reasons to go with Fujitsu! Excellence ETERNUS PRIMERGY in Data Storage Server Protection Focus Excellence on driving in Data standards Management Violin Cloud All Flash offerings Appliance Global Hana availability Appliances Knowhow and experience 12 Copyright 2012 FUJITSU
  • Thank YouBernhard BrandwitteVice President StorageFujitsu Technology SolutionsTel.: +49 (5251) 525 2190Mob.: +49 (171) 8650079Fax: +49 (5251) 525 32 2190E-Mail: bernhard.brandwitte@ts.fujitsu.comWeb: ts.fujitsu.com 13 Copyright 2012 FUJITSU
  • 14
  • Q&A Session Your Input 15 Copyright 2012 FUJITSU