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Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
Dr. Bjarne Berg for Knowledge Stream
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Dr. Bjarne Berg for Knowledge Stream

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10 июня в центре Digital October состоялась лекция эксперта в области больших данных Бьярна Берга. …

10 июня в центре Digital October состоялась лекция эксперта в области больших данных Бьярна Берга.

http://digitaloctober.ru/events/knowledge_stream_informatsiya_dlya_biznesa

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  • 1. Technology Trends seriesBusiness: Full Speed AheadDr. Bjarne Berg
  • 2. Session Agenda2• Introduction• Why Change to In-Memory Processing?• The Early Solutions• SAP HANA an Introduction• Demo• New Innovation and Interesting Usages• The Future and Big-Data Trends• Questions and Answers
  • 3. Speaker Introduction3
  • 4. Session Agenda4• Introduction• Why Change to In-Memory Processing?• The Early Solutions• SAP HANA an Introduction• Demo• New Innovation and Interesting Usages• The Future and Big-Data Trends• Questions and Answers
  • 5. The Creation of Big Data590% of all digitalinformation wascreated in the last 3years.By 2020 we will have5,600 GB of data forevery person onearth (incl. pictures,movies and music).That is 40Zettabytes!The Issue: How do we store the big dataand how can we access it faster?
  • 6. Where is the data Located and What Drives the Growth?6Source: WipPro, 2013
  • 7. Who Benefits the Most of Big-Data Access?7Source: University of Texas
  • 8. Data is Created Everywhere8Every day we create 25,000,000,000,000,000,000 bytes of data!(that is 25 quintillion bytes).Total number of hours spend on facebook each month: 700 BillionData sent and received by mobile platforms and phones: 1.3 ExabytesNumber of emails sent each day: 2.5 BillionData processed by Google each day: 2.4 PetabytesVideos uploaded to YouTube each day: 1.7 million hoursData consumed by each world’s household each day: 357 MB (growing fast)!Number of tweets send each day: 50 MillionNumber of Products sold on Amazon each hour: 263 Thousand
  • 9. Why In-Memory Processing?9FocusImprovement20131990216AddressableMemory2614x52.27MB/$0.02MB/$Memory6083x304.17MIPS/$0.05MIPS/$CPUTechnology620MBPS5MBPSDiskData Transfer124x1000 x100Gbps100MbpsNetworkSpeed264 248xSource: 1990 numbers SAP AG, 2013 numbers, Dr. BergDisk speed is growing slower than all other hardwarecomponents, while the need for speed is increasing.Source: BI Survey of 534 BI professionals, InformationWeek,
  • 10. Why Change to In-Memory Processing?10• An History Lesson:• File systems were created to manage hard disks• Relational Databases were made to manage file stems• Application Servers were created to speed upapplications that ran on a database.• Therefore:• Hard drives are DYING!• Relational databases are DEAD (they just don’t know it!)• Application Servers will become less important
  • 11. Session Agenda11• Introduction• Why Change to In-Memory Processing?• The Early Solutions• SAP HANA an Introduction• Demo• New Innovation and Interesting Usages• The Future and Big-Data Trends• Questions and Answers
  • 12. The Death of Storage and Access Technology is Normal12
  • 13. The Rate of Change – Disruptive Technologies13• Moore’s Law in technology:• Processing Speed will double every 18 month• Paradigm shifts:• SAP HANA queries are executed 400-900 times faster than onrelational databasesThe rate of change in Paradigm Shiftsis much faster than the incrementalchanges and a much lower cost
  • 14. Session Agenda14• Introduction• Why Change to In-Memory Processing?• The Early Solutions• SAP HANA an Introduction• Demo• New Innovation and Interesting Usages• The Future and Big-Data Trends• Questions and Answers
  • 15. SAP HANA — In Memory Options• SAP HANA is sold as an in-memoryappliance. This means that bothSoftware and Hardware are includedfrom the vendors• Currently you can buy SAP HANAsolutions from Cisco, Dell, Fujitsu,IBM, and Hewlett-Packard• The future of SAP HANA is to replacerelational databases of ERP and datawarehouses and run these on the in-memory platformSource SAP AG,SAP HANA has radicallychanged the way databasesoperate and make systemsdramatically faster.
  • 16. SAP HANA — In Memory OptionsHardware Memory128GB 256GB 512GB 1024GBCisco C260 X XCisco C460 X XCisco B440 X X+Dell R910 X X X XHitachi CB 2000 X X XNEC Express 5800 X X X+Fujitsu RX 600 S5 X X XFujitsu RX 900 S2 X X+HP DL 580 G7 X X XHP DL 980 G7 X XHP BL 680 X X X X+IBM x3690 X5 X X XIBM x3950 X5 X X X+There are currently 7 differentcertified HANA hardware vendorswith 13 different products.Some boxes can be used assingle nodes with others areintended for scale-out solutionsfor large multi-node systems
  • 17. The Hardware – IBM Example
  • 18. SAP HANA — Available Special Applications• New Applications has been built that run on SAP HANA in-memoryprocessing and you can also build your ownERPDatabaseHANAVirtualDataMartsApplicationsDatabasesVirtualDataMartsVirtualDataMartsVirtualDataMartsFilesThis provides much tighter integration with the source system (less datalatency) and much faster query response time for high-volume analysisApplications developed by SAP1. Planning & consolidation2. Customer revenue performance mgmt3. Predictive segmentation & targeting4. Trade promotion management5. Merchandise & assortment planning6. Sales & operations planning (SOP)7. Demand signal repository8. Profitability analysis9. Dynamic cash management10.Strategic workforce planning11.Smart meter analytics (power companies)12. and much more…
  • 19. SAP BusinessObjects Dashboards for Enterprise ManagementDashboards can be built using theSAP BusinessObjects Dashboardstool that takes advantage of thesub-second speed of HANA.19
  • 20. SAP Dashboards Example — Flexibility• Graphs can be displayed many ways• Navigation can be done and saved as ―scenarios
  • 21. SAP Dashboards — Mobile Example• Dashboards aremost useful whencompared tosomething• This dashboardis relative to abusiness plan• Notice that allgraphs can bedisplayed manyways and thatcolor coding isconsistent acrossdashboardsThe layout, buttons, and colors are consistentlyused and that the location of the objects alignsperfectly with each other.
  • 22. Formatted Number based Dashboard ExampleDashboardscan also behighlyformatted andstatic withlittle userinteractionThe In-Memory capabilities of HANA allows managers to seeall financials in one-place in hyper-fast speed..
  • 23. Operational Dashboards for Line Managers•Dashboards canbe operational•This dashboardfocus on billingdisputes and isused to monitorclosing of cases•The users ofthis dashboardare clerks in thebilling office,not executives23With HANA – Real-time operational dashboards canby pushed to managers everywhere
  • 24. Link of HANA data to Maps and News Feeds• Dashboards aremost useful whenshared with others• Power users cancreate greatdepartmentaldashboards thatcan be sharedinside smallerorganizationalunits24In this dashboard, the data is merged with Google maps and external newsfeeds. This makes the dashboard much more interactive and interesting.
  • 25. HANA Demo
  • 26. Session Agenda26• Introduction• Why Change to In-Memory Processing?• The Early Solutions• SAP HANA an Introduction• Demo• New Innovation and Interesting Usages• The Future and Big-Data Trends• Questions and Answers
  • 27. BI Workspaces and ModulesBI Workspaces allows you to link many SAP BI tools in the same area,without the need to jump between them.In this workspace, we have 6 Objects with 4 different technologies.27
  • 28. New Big-Data Innovation in Medical Field for Big Data28CAT scans and X-Rayscreate an large amount ofdata that doctors have toreview and accessHANA can store this and providehigh volume and provide almostinstant access to hundreds ofTerabytes of dataX-Ray of Cancer PatientCAT Scan of Tumor Patient
  • 29. New Big-Data Innovation in Safety and Security29• Thousands of hours of video istaken at airports, banks, casinos,borders and other sensitive areas• Facial recognition software canidentify wanted criminals• SAP HANA can store that dataand process the information
  • 30. New Big-Data Innovation – Weather and Fishery tracking30Tracking whether andexecute predictivemodels requiresignificant number ofdata points with highdata volumeModeling resources such asfisheries and speciemovements also requiresignificant data volumes anddata points on catchinformation across the globe
  • 31. New Big-Data Innovation – Company War Rooms31• In a multi-nationalcompany, data iscreated and consumedeverywhere.• With SAP HANA youcan create a corporatewar-room to trackcustomer demand,shipments, marketingsuccess and businessintelligenceThis picture is from Sprint phonecompany’s war-room to track usageand transition issues during systemmergers and product launches.
  • 32. New Big-Data Innovation – Pollution Tracking32• Geo data frompollution, datamodeling andtracking createshundreds ofTerabytes.• SAP HANA canassist in storingand retrievingthis dataWith Predictive modeling and data visualizationyou can build sophisticated models on HANA. Youcan even use the R-statistical library
  • 33. New I Big-Data innovation – Scientific Discovery33• The super collidercenter CERN, createsover one PetaByteevery second itoperates.The new Spectre R telescopeof Russia has 1000 timeshigher resolution thanHubble, generating billionsof bytes of data.
  • 34. Session Agenda34• Introduction• Why Change to In-Memory Processing?• The Early Solutions• SAP HANA an Introduction• Demo• New Innovation and Interesting Usages• The Future and Big-Data Trends• Questions and Answers
  • 35. The Future and Big-Data Trends35Big data is being generated frommicro and macro levels.From human DNA for each personto the content of billions of stars ingalaxies.Internet usage Map by protocolComputer based human interactionis getting more common andgenerating tons in data each secondA Map on the Whole InternetBig-Data is only get more prominent.– can computers keep up?
  • 36. The Future and Big-Data Trends – More Imaging36Companies will startaccessing datavisually instead of bynumbers and text.A data explosion visualized – Micro loans madeUsers will have on-demand access to allmovies, songs,information in sub-second speed
  • 37. Summary37• SAP is a highly innovative company• We are removing hard drives and relational databases• Processing is going to in-memory• SAP HANA can do all this today• First we will move all data warehouses to HANA, then allERP systems• HAHA is much more than ECC and SAP BW (current tools)• HANA is a paradigm shift with lower operating costs• HANA is available today and is being implemented athundreds of companies in regular industries right now.
  • 38. Questions and AnswersDr. BergBberg@Comerit.com

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