Mag. Rainer Weinzettl (Hewlett Packard GmbH)
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"Cloud, Sicherheit und Big Data" -- Nur Modewörter oder wichtiger Garant zur Erreichung von Effizienzzielen in Wirtschaft und Verwaltung. Wie können stetig wachsende Anforderungen abgedeckt werden? - Mag. Rainer Weinzettl (Hewlett Packard GmbH - Account Manager Republic Austria)
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Mag. Rainer Weinzettl (Hewlett Packard GmbH)
- 1. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Big Data Rainer Weinzettl Enterprise Services Sales Executive rainer.weinzettl@hp.com +43-664-8847 4008
- 2. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 2 Wertschöpfung Hoch 1980 Analyse Prediction Monitoring Abfragen, Excel, OLAP, Visualisierungen Dashboards, Scorecards Statistische Analysen, Data Mining, Optimierungen “Warum ist es passiert?” “Was passiert gerade?” “Was wird als nächstes passieren?” Niedrig 1990 2010 Business analysts Manager Statistiker Rolle = Reporting = Analyse Source: Wayne Eckerson “Was ist passiert?” Alle Benutzer Reports Standard Reports Vielfalt Geschwindigkeit Datenvolumen Entwicklung von Datenanalysen 2012
- 3. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 3 Alle 60 Sekunden 695,000 status updates 98,000+ tweets 698,445 Google searches 1,820TB Datenzuwachs 11million instant messages 168 million+ gesendete emails YouTube Viber Qzone Amazon Web Services GoGrid Rackspace LimeLight Jive Software salesforce.com Xactly Paint.NET Business Education Entertainment Games Lifestyle Music Navigation News Photo & Video Productivity Reference Social Networking Sport Travel Utilities Workbrain SuccessFactors Taleo Workday Finance box.net Facebook LinkedIn TripIt Pinterest Zynga Zynga Baidu Twitter Twitter Yammer Atlassian Atlassian MobilieIron SmugMug SmugMug Atlassian Amazon Amazon iHandy PingMe PingMe Associatedcontent Flickr Snapfish Answers.com Tumblr. Urban Scribd. Pandora MobileFrame.com Mixi CYworld Renren Xing Yandex Yandex Heroku RightScale New Relic AppFog Bromium Splunk CloudSigma cloudability kaggle nebula Parse ScaleXtreme SolidFire Zillabyte dotCloud BeyondCore Mozy Fring Toggl MailChimp Hootsuite Foursquare buzzd Dragon Diction SuperCam UPS Mobile Fed Ex Mobile Scanner Pro DocuSign HP ePrint iSchedule Khan Academy BrainPOP myHomework Cookie Doodle Ah! Fasion Girl PaperHost SLI Systems NetSuite OpSource Joyent Hosting.com Tata Communications Datapipe PPM Alterian Hyland NetDocuments NetReach OpenText Xerox Google Microsoft IntraLinks Qvidian Sage SugarCRM Volusion Zoho Adobe Avid Corel Microsoft Serif Yahoo CyberShift Saba Softscape Sonar6 Ariba Yahoo! Quadrem Elemica Kinaxis CCC DCC SCM ADP VirtualEdge Cornerstone onDemand CyberShift Kenexa Saba Softscape Sonar6 Workscape Exact Online FinancialForce.com Intacct NetSuite Plex Systems Quickbooks eBay MRM Claim Processing Payroll Sales tracking & Marketing Commissions Database ERP CRM SCM HCM HCM PLM HP EMC Cost Management Order Entry Product Configurator Bills of Material Engineering Inventory Manufacturing Projects Quality Control SAP Cash Management Accounts Receivable Fixed Assets Costing Billing Time and Expense Activity Management Training Time & Attendance Rostering Service Data Warehousing The Internet Gigabytes Client/Server Megabytes IBM Unisys Burroughs Hitachi NEC Bull Fijitsu Mainframe Kilobytes Mobile, Social, Big Data & The Cloud Zettabytes 217 neue mobile Web-User Yottabytes
- 4. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 4 1. BIG DATA = strukturierte UND ‘menschliche’ Informationen 2. Verstehen der Bedeutung 3. Einblick in die Bedeutung benötigt die gemeinsame Analysen aller Daten 4 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
- 5. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 5 “Menschliche” Information
- 6. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 6 Welche Branchen beschäftigen sich mit Big Data? Finanzinstitute Missbrauchserkennung Anti Geldwäsche Risiko Management Realtime Scoring Öffentlicher Sektor Geheimdienste Regulierung Sicherheitsbehörden Bilderabgleich Handel Absatzförderung Lieferantenmanagement Multi-channel Marketing Bedarfsplanung Telekommunikation Betrugsaufdeckung Analyse Gesprächsdatensätze Hersteller/Produzenten Optimierung Lieferantenmanagement Erkennung/Analyse defekter Ware Sensoren (RFID) Wartungsmanagement Gesundheitswesen Entwicklung von Arzneimitteln Wissenschaftliche Recherche Auswertungen von Krankenakten Evidenzbasierte Medizin Energieversorger Ausfall Management Smart-Metering Smart-Grid Optimization 1 Source: Forrester – Turning Data into Business Value – Big Data and the Analytics Imperative 2 IDC Worldwide Big Data Technology and Services Market Forecast, March 2012
- 7. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 7 Was sollte eine Behörde über Bürger wissen? Web log file Analyse “Wer besucht meine Webseite?” Arbeitshypothesen “Was passiert wenn…” / “Welche Auswirkung hat…” Sedimentanalyse “Was sagen Bürger, Investoren über Österreich im In- und Ausland?” Standortwettbewerb “Welche ist die geeignete Werbung für einen potentiellen Investor?” Zu-, Abwanderung “Warum wandern Menschen und Unternehmen ab bzw zu?” Imagemonitor “Wer ist womit, wann und warum zufrieden? Netzwerke “Wo entstehen Aktionen, die für das Land gefährlich sein können?” Zukunftsprognosen “Welche Prognosen kann ich anhand meiner Daten machen?”
- 8. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 8 Identifikation wichtiger Einflüsse Fallbeispiel 1: Social media awareness
- 9. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 9 Fallbeispiel 2: Standortanaylse * Quelle: CIO.de Vielfalt Geschwindigkeit Datenvolumen
- 10. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 10 Modular, nicht anfechtbar und compliant Hohe Leistung und massive Skalierbarkeit • Mehrere und komplexeste Fälle parallel bearbeitbar • Unterstützt mehr als 1000 Dateitypen, einschließlich Audio und Video und mehr als 100 Sprachen • Arbeitet mit weltweit Ermittlungsbehörden, Regierungen, Verteidigung und der Anwaltsbüros Unübertroffene ECA, Analyse- und Visualisierungs-tools Entdeckt, verarbeitet und überprüft sämtliche digitalen Informationen Verstehen von Bedeutungen Fallbeispiel 3: Beweismittelsicherung, Betrugsbekämpfung
- 11. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 11 Fallbeispiel 4: Videoüberwachung und - auswertung
- 12. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 12 Cloud & HP Datum: Mo, 06. Mai 2013 09:00 - 12:00 Ort: HP, Wienerbergstrasse 41 – 1120 Wien http://www.eurocloud.at/termine/eurocloud-brunch-32013-hp-brainloop.html
- 13. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. VielenDank!
Hinweis der Redaktion
- Every 7-10 years, technology delivery undergoes a tectonic shift; one that opens up new business and access models. A shift that changes the way technology is consumed and the value that it can bring. A change in what is possible. A removal of inhibitors that unleash the power of innovation. Today, mobility, social, big data, and the advent of cloud computing are representative of such shifts offering a new means for IT to help organizations accelerate progress towards solving their most pressing challenges (including speeding innovation, enhancing agility, improving financial management). These shifts can unleash the power of IT to not only support but help shape the business.
- Three truths: Number 1 – Big Data = Structured and unstructured human information Most of BD data does not fit into DB rows and columns – it is HI - emails, tweets, video and audio. Challenge of processing big data = challenge of processing human information Number 2 – understanding meaning is key SI = dates, names, numbers, facts HI = ideas, emotions, nuances, ambiguity HI is as diverse as the people creating it Understanding HI requires a different approach – DBs and Hadoop are not enough Number 3 – Meaning insight requires unified analysis of all data SI and HI THE CHALLENGE IS TO DERIVE MEANING FROM 100% OF BIG DATA, including human information PPT – not focus on capture and management of big data, rather how to analyze and extract meaning Make it not just big, but also clever
- IDC - 90% of digital content is HI in emails, videos, tweets, Facebook posts, call centre conversations, closed circuit TV footage, mobile phone calls, website clicks Structured growing, unstructured exploding, Unstructured growing 62% YOY –2.2M TB more per day HI = interesting, differentiating, vital Customers don’t send DB - call, email, tweet Policies & regulations built on meaning and intent, not SQL. Today data scientist uses Yottabytes to describe how much government data the NSA or FBI have on people altogether. In the near future, Brontobyte will be the measurement to describe the type of sensor data that will be generated from the IoT (Internet of Things)
- Key points: Volume of Social Media is growing too fast to be processed manually The nature of social media is hard for basic technology to understand – short tweets, video, slang, etc. To get value from Social Media, you must understand its meaning – not keywords and arbitrary categorization Businesses must be able to understand customer sentiment and issues in real-time to proactively and appropriately respond HP provides solutions for social collaboration, governance and analysis
- Windkraftanlage Herausforderung Zur Realisierung von Windparkprojekten werden komplizierte Berechnungen durchgeführt, um den bestmöglichen Standort bestimmen zu können. Dabei müssen für jeden Standort viele unterschiedliche Informationen von Sensordaten bis hin zu Satellitenbildern manuell ausgewertet werden. Beispielsweise können bei zu hohen Witterungseinflüssen die Reparaturkosten beachtlich steigen. Zu geringe Windverhältnisse wiederum, können die Wirtschaftlichkeit einer Anlage erheblich senken. Use-Case Zur Standortanalyse werden über 160 Faktoren in die Berechnung einbezogen und analysiert. Diese stammen aus den unterschiedlichsten Quellen. Ausgewertet werden u.a. Sensoren von bereits bestehenden Turbinen, Geoinformationen, Gezeitenkalender, Sonneneinstrahlung, Satellitenbilder oder auch Naturschutzinformationen. Aus diesen Daten wird eine Analyse für einen beliebigen Standort auf der Welt in wenigen Stunden erstellt. Ergebnis Innerhalb von wenigen Stunden kann ein präzises Modell eines möglichen Standortes erstellt werden und hilft die Anlagen effizient auszurichten. Dadurch entsteht ein klarer Wettbewerbsvorteil und eine deutliche Zeitersparnis. Es wird ermittelt, wie viel Energie in den nächsten Jahren erzeugt wird und wann der ROI eintritt.
- ECA = early case assessment (Beweismittelsichtung) Autonomy provides a comprehensive, modular, discovery solution that provides organizations with everything they need to: meet the preservation obligation assess the case review and produce relevant ESI All on a single, seamlessly connected platform. Defensible & FRCP compliant Petabyte scalability Flexible deployment options: licensed, cloud, appliance, hybrid All data formats on all repositories Main point: With our platform, HP is the only vendor to provide a true End-to-End eDiscovery solution that spans the full spectrum of the EDRM process, providing technology and services for the largest and most complex legal and regulatory matters. Proactive information governance policies reduce the scope, cost and risk associated with eDiscovery, audits and investigations. By indexing the data one time and sharing the index across ECA, ALH and Introspect, Autonomy eDiscovery solutions minimize the costs and risks associated with managing the data across the litigation lifecycle. Quickly assess the merits of a case and reduce exposure to court sanctions and fines with a clear, defensible process for controlling data across the enterprise. Streamline review processing, comply with the FRCP and meet production deadlines with a comprehensive electronic discovery process that is cost-effective for you (and your client). ECA Autonomy ECA enables companies to rapidly retrieve and analyze relevant data to answer the initial question, “Is there a case?” within the first 48 hours of anticipated litigation or investigation. Rather than the weeks or months required with legacy technology, companies utilizing Autonomy Investigator & ECA can assess the case within hours. Legal Hold Autonomy Legal Hold provides a systematic and defensible solution for the preservation and collection of data as necessary in compliance with the Federal Rules of Civil Procedure (FRCP).
- automated features that relieve staff of the most tedious aspects of monitoring video feeds. Video, Audio, and Image Analysis – Understand rich media files and cross-reference them with other forms of information without relying on metadata. Single Source of Truth – Maintain your confidence and international respect and increase productivity & quality diagnostics by accessing single “core” assets from a centralized repository. Rich Media Workflow – Configure and automate your processes to ingest, route, review, approve, email, notify, retrieve, and distribute assets with an integrated workflow engine. Multi-source data ingestion – regardless of the platform / application / functionality – where legally permitted to “connect” Multi-lingual comprehension – either written text in video or linkage to audio file Continuous connectivity and engagement with the data source 24/7/365 without requiring human over-watch Cross-referral – the ability to link across different media types identifying similarities of meaning – not just the same words Alerting – as the continuously ingested data is so large – enabling Human engagement on a prioritized basis Records Management – in terms of data capture / storage / access for analysis / archive and eventual deletion