Infrastructure transformation for intelligent data centers of the future
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Infrastructure transformation for intelligent data centers of the future

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The future IT infrastructure for Big Data requires the introduction of specific technologies that need to span from Big Data processing to Big Data management and Big Data integration into current ...

The future IT infrastructure for Big Data requires the introduction of specific technologies that need to span from Big Data processing to Big Data management and Big Data integration into current data center environments and IT strategy. This session will explore the Big Data infrastructure transformation required for intelligent data centers of the future.

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    Infrastructure transformation for intelligent data centers of the future Infrastructure transformation for intelligent data centers of the future Presentation Transcript

    • © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. IntelligentDataCenter Infrastructure Big Data IT Transformation Donald Livengood on behalf of Amos Ferrari June 10, 2013
    • © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.3 Forward-looking statements This document contains forward looking statements regarding future operations, product development, product capabilities and availability dates. This information is subject to substantial uncertainties and is subject to change at any time without prior notification. Statements contained in this document concerning these matters only reflect Hewlett Packard's predictions and / or expectations as of the date of this document and actual results and future plans of Hewlett-Packard may differ significantly as a result of, among other things, changes in product strategy resulting from technological, internal corporate, market and other changes. This is not a commitment to deliver any material, code or functionality and should not be relied upon in making purchasing decisions. This is a rolling (up to three year) roadmap and is subject to change without notice.
    • © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.4 My background Title VP, Big Data Services IT industry experience • Application Services Manager – UPS USA • Director, Technical Support – UPS USA • Technical Services Manager – Spain Professional information • Computer Science engineer • University of Minnesota Years at HP 13 Current responsibilities VP, Global Technology Services Consulting Big Data Practice – leads the envisioning, development and implementation of Big Data related services globally Name: Tom Norton E-mail: tom.norton@hp.com
    • © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.5 My background Title Global Consulting Strategist TS Consulting IT industry experience • Big Data • Unified Communications & Collaboration • Contact Center • Telco BSS Professional information • Certified PM • IT Architect Years at HP 27 Current responsibilities Responsible for the development, pursuit, and deployment of HP’s Big Data Infrastructure Services for the Strategic & Planning area Name: Amos Ferrari E-mail: amos.ferrari@hp.com
    • © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. BigData&IT
    • © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.7 Big Data Main value for you: Additional business value New customer services creation Differentiator and value creation Business control “Big Data is a class of data challenges, due to increasing Volume, Velocity, Variety, and Vulnerability of data being processed and consumed, that are beyond the capabilities of the traditional software, architecture, and processes to effectively manage and utilize.”
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.8 Big Data Needs Scale Source Speed Security Volume Variety Velocity Vulnerability
    • © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.9 Enterprises can’t keep up Time consuming Data integration Real-time Insight needed Unable to secure Flash flooding of legacy data bases Magnitude of the data
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.10 New Data Management and analytics technologies Variety Volume Velocity SAP HANA PDW Vertica Hadoop Autonomy Semi-Structured Structured Unstructured 100% of DataEnable me to: on Store Capture Manage Analyze Optimize
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.11 To energy and algorithm optimized: HP Moonshot From General Purpose architecture With new Infrastructure technologies To Software Defined Networks From hardware networks From disk To Virtualized Storage and persistent memory Today Physical High performance network High Performance attached Storage Today - Today Scale Out Architecture Enabling Real Time Services Scalable and Cost effective Managed and Secure InfrastructureEnable me to: on Store Capture Manage Analyze Optimize
    • © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. BigDatarequires InfrastructureTransformation
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.13 Today Data Context Operation,Governance,Security Operation,Governance,Security Operation,Governance,Security Operation,Governance,Security Social Media Data Forum Blog Feeds Web Clicks Multi- Media Audio Video Images Document Management Content Management File Sharing File Hosting Collaboration Search Message Data IM and VOIP Messaging System Sensors Data GPS Sensors devices RFID Other events Operation,Governance,SecurityOperation,Governance,Security Classic ETL Processing Business Transactions and InteractionsBusiness Transactions and Interactions CRM – ERM – SCM FMS – HRM $ € ¥ Transaction Data Analytical, Dashboards, Reports, Visualization Enterprise Data Warehouse Business Intelligence & Analytics Internal Content External Content or Discarded Content Managed Content Unmanaged Content
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.14 Expanding today Data Management Technologies is expensive and in most cases will not solve Finding out useful information requires powerful and massive processing StorageOnlyGrid(SAN/NAS) Moving data to compute doesn’t scale Can’t explore original, High fidelity raw data Archiving Cheap storage Expensive restore Today's Data Architecture Classic ETL Processing Business Transactions and InteractionsBusiness Transactions and Interactions CRM – ERM – SCM FMS – HRM $ € ¥ Transaction Data Analytical, Dashboards, Reports, Visualization Enterprise Data Warehouse Business Intelligence & Analytics Gaps in Message Data Document Management Social Media Data Multi-Media Sensors Data Time consuming Data integration Flash flooding of legacy data bases Magnitude of the data Real-time Insight needed Unable to secure Discarded Content, too expensive to retain store manage and analyze
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.15 Big Data Transformation Architecture Big Data infrastructure Insight Processing Protection & Compliance Management Infrastructure Integration Enterprise Data Warehouse Analytical, Dashboards Reports, Visualization Business Intelligence Business Transactions and Interactions Web, Mobile CRM – ERM – SCM FMS – HRMValue Creation share, refine & development Message Data Document Management Social Media Data Multi-Media Sensors Data
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. BigDatainfrastructure Architecture components
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.17 Building the Intelligent Data Center Big Data infrastructure Insight Processing – For fast, flexible and predictable data refinement Protection & Compliance Management – For secure, compliant and reduced risk data management Infrastructure Integration – For full integration into the data center, traditional data platforms and the holistic IT environment Social Media Data Multi-Media Document Management Message Data Sensors Data Cloud Enterprise Data Warehouse Cloud Enterprise Data Warehouse AnalyticalDashboards and Reporting Organizational Applications Operations Sales and Marketing Legal Web and Mobile Interaction Data CRM – ERM – SCM – FMS - HRM
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.18 Components Big Data infrastructure Big Data Protection Information Insight Processing Compute ConsumptionCollection Protection and Compliance Management Information Infrastructure Integration SecurityGovernance Technology and Operations Integration ComplianceProtection Destruction Security Backup & Restoration Governance ArchivalRetention
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.19 Big Data infrastructure functional architecture Technology Integration Security Operations Big Data Converged, Automated, Energy efficient infrastructure Activity logging Intrusion Prevention Switch virtualization Virtual application network SSL/VPN Networks Storage replication Server scale-out management Collection Compute Consumption Protection Big Data Management Compliance Big Data Storage Big Data Processing On Line / Batch Analysis Internal / External Data Structured / Unstructured Real Time Backup and Recovery Governance Privacy and Security Destruction Archival Retention
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.20 Big Data Compute key capabilities Vertica … Private Hadoop Cloud Machine 1 RAM Processors Memory Scale-Out In-Memory CPU CPU CPU Rack 1 ServerServerServerServer ServerServerServerServer ServerServerserverServer Rack 2 ServerServerServerServer ServerServerServerServer ServerServerserverServer Rack n ServerServerServerServer ServerServerServerServer ServerServerserverServer Hybrid
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.21 Big Data Management & Integration key capabilities • End 2 End Big Data SLA Services • Data in Transit Protection • Platform Management • … ComputationCollection Consumption Security & Compliance Converged, Automated, Energy Efficient Infrastructure Level of service
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.22 HP HAVEn Big Data technologies mapping Information Infrastructure integration Security Operations Big Data Converged, Automated, Energy efficient infrastructure Activity logging Intrusion Prevention Switch virtualization Virtual application network SSL/VPN Networks Storage replication Server scale-out management Collection Computation Consumption Protection Information Management Compliance Information Insight processing Open Source Internal / External Data Structured / Unstructured Partners Backup and Recovery Governance Privacy and Security Destruction Archival Retention Consumption HP StoreEver HP StoreOnce HP StoreOnce HP StoreAll OPERATIONS ORCHESTRATIONHP DataProtector7 HP FlexFabric SERVER AUTOMATION HP Big Data Governance SAP- HANA Microsoft PDW Information Governance Content Management eDiscovery
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. BigData IT Infrastructureto enable Intelligent Data Center of the future Examples
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.24 Transforming Today’s Architecture Big Data infrastructure example with Hadoop Insight Processing Protection & Compliance Management Kerberos access. Identity management, Network optimization. Centralized Management Enterprise Data Warehouse Reports and Interactive Apps RDBMS (Aggregated data) Business Transactions and Interactions Web, Mobile CRM – ERM – SCM FMS – HRM Message Data Document Management Social Media Data Multi-Media Sensors Data Hadoop Explore all original, High fidelity raw data Replicate data in Hadoop Archive only value data Move some data to BI systems and also use Hadoop MapReduce
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.25 Expanding capabilities Big Data infrastructure example with Hadoop and Vertica Kerberos access. Identity management, Network optimization. Centralized Management Enterprise Data Warehouse RDBMS (Aggregated data) Business Transactions and Interactions Web, Mobile CRM – ERM – SCM FMS – HRM Message Data Document Management Social Media Data Multi-Media Sensors Data Hadoop Explore all original, High fidelity raw data Keep data in Hadoop Cheap store & restore Vertica Real Time structured Analytics Move Refined Info to Vertica Easy protect and comply Vertica Real Time Analytics Move some data to BI systems and also use Hadoop MapReduce
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.26 Inserting Intelligence Big Data infrastructure example with Hadoop and Autonomy Kerberos access. Identity management, Network optimization. Centralized Management Enterprise Data Warehouse RDBMS (Aggregated data) Business Transactions and Interactions Web, Mobile CRM – ERM – SCM FMS – HRM Message Data Document Management Social Media Data Multi-Media Sensors Data Hadoop Explore all original, High fidelity raw data Keep data in Hadoop Cheap store & restore AutonomyIdol Autonomy Real Time Search Access and search all Data Easy protect and comply Move some data to BI systems and also use Hadoop MapReduce Autonomy Real Time Universal Access
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. BigDatatransformation IT Infrastructureto enable Intelligent Data Center of the future Where to start
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.28 Suggested actions Identify Critical DW systems for potential initial target implementation Outline today’s data bottlenecks related to Big Data Evaluate areas where today’s raw data is not used or deleted !Determine demand for archived data from the business and potential services that you can offer Determine your IT Big Data Architecture Strategy.
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.29 Start today Where to start Implement Big Data infrastructure Determine readiness ,Storage, Governance, Security … Derive IT Architecture & Roadmap Derive IT Strategy & define initiative Identify Big Data Strategy Information sources Business and Technical feasibility ! Business Case People Link with BI and Analytics and other business cases Expand infrastructure Define Solutions Standards & Design Plan for Big Data Services
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.30 HP Big Data Solutions Big Data as a Service HP Big Data Analytics for IT HP Actionable Intelligence Solutions HAVEn – HP’s Big data analytics platform Hadoop • Autonomy • Vertica • Enterprise Security • n of solutions Big Data Solutions Vertica Community Edition Autonomy Legacy Data Cleanup HP IT Management HP Big Data Architecture Strategy Services, HP Big Data System Infrastructure services, HP Big Data Protection Services Operate yourself Consume as a service Professional Services
    • © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Takethelead ProvidingITBigDataServices by Transforming dataInfrastructure to enable IntelligentDataCenterofthefuture
    • © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.32 Learn more about this topic Use HP Autonomy’s Augmented Reality (AR) to access more content 1. Launch the HP Autonomy AR app* 2. View this slide through the app 3. Unlock additional information! *Available on the App Store and Google Play
    • © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Thankyou