Best Practices for Deploying and Managing Your Big Data Solution ( 部署和管理大数据解决方案的最佳实践 )

2. Best Practices for Deploying and Managing Your Big Data Solution (部署和管理大数据解决方案的最佳实践) Michael Li (李竹华 )Consulting Technical Director – Oracle Consulting Services(咨询服务部咨询总监)

3. Program Agenda • Common Data Challenges • Oracle’s Approach • Customer Case Study

4. How to use Big Data to create Big Insight for your business? ! ! ! ! ! ! Customer Analytics New Market Opportunity Business Performance Risk Management

5. CHALLENGES Stale Data Drowning inSpreadsheets Islandsof Data Gather andOrganize All Data Lack ofData Skill

6. BIG DATA LIFECYCLE NEW REQUIREMENTS DECIDE ACQUIRE New Tools for Acquiring and Organizing Information Easy Integration of New Infrastructure In-memory Processing Advanced Analytics ANALYZE ORGANIZE

7. How Can Big Data Help You? Integrating Big Data into Business Operations • Better Business Decisions • Information Timely Delivered Anytime, Anywhere, on Any Device Ability to apply business process changes across more customer segments Ability to respond to rapidly changing market conditions Identify and capitalize on a customers propensity to buy Virtual Office Environment Executive Agility Business Drivers Integration of new data sources with Analytics Platform Analytical Dashboards with Alert Capability Social Media Integration Mobile BI Platform that integrates with Operational Systems Architectural Approach Business SME Engagement & Data Architecture Real-time data replication Mobile BI Applications Required Capabilities

8. Oracle Business Analytics Strategy Any Data, Any Source Full Range ofAnalytics Integrated Analytic Applications On Premise, On Cloud,On Mobile Oracle Business Intelligence Solutions Oracle Reference Architecture Oracle Services

9. Comprehensive Solution ACQUIRE ORGANIZE ANALYZE DECIDE DECIDE ACQUIRE Big Data Appliance Exalytics Exadata Hadoop NoSQL Database Hybrid Columnar Compression Advanced Analytics Analytic Applications In-memory Processing

10. Oracle: How We Help Business Architecture FutureState CurrentState ArchitectureVision Governance Roadmap People Process Portfolio ENTERPRISEARCHITECTUREREPOSITORY Certified Architects,Experienced Advisors Practical Approach,Proven Methodology Best Practices,Proven Artifacts

11. Oracle Enterprise Architecture: A Practical Approach Oracle Architecture Development Process • Top-down, business-driven • Agile and future state focused • Uses reference architectures and best practices • Establishes pragmatic governance • Aligns with industry frameworks Business Architecture FutureState CurrentState ArchitectureVision Governance Roadmap ENTERPRISEARCHITECTUREREPOSITORY

12. Big Data & Analytics Reference Architecture • Dramatically reduces the time to create your solution architecture • Incorporates industry best practices • Reduces your risk by providing a repeatable solution blueprint • Helps you make the best use of Oracle and other vendor’s products • Why a Reference Architecture? "If you think good architecture is expensive, try bad architecture."         -- Brian Foote and Joseph Yoder

13. Big Data & Analytics Reference Architecture Key Architectural Principles • All formsof data • The system must be able to Capture, process, organize and analyze all forms of data tomeet existing business requirements and support discovery of new business opportunities. • The system must be able to maintain relationships and enable navigation between different forms of data. Helps you: • Translate business needs into requirements on the solution architecture • Develop your company specific architecture principles by providing a starting set of principles • Articulate and enforce your company’s priorities, bothbusiness and IT • Common Information & Object Model • The system must organize information to provide a single version of truth. • The system must share analysis artifacts to provide a single version of the question. • Governance must be instituted to properly maintain information and analysis artifacts • Integrated Analysis • Analysis should be integrated into the user interfaces, devices and processes such that users gain insight where and when they need it. • Business analytics systems should be integrated with business processes in such a way to automatically leverage the available analysis to optimize operational processes. • Insight toAction • The system must be able to monitor for important events and initiate alerts. • Users must be able to drill down into information in order to perform analysis. • Whenever possible, users should be given insight and guided to take proper action.

14. Big Data & Analytics Reference Architecture Conceptual View Multi-Channel Delivery Helps you: • Quickly establish consensus on the scope of your Big Data & Analytics solution without being distracted by technical details • Paint the “big picture” for internal communications to build support Easily modified to reflectyour company’s priorities Unified Information Management Real-TimeAnalytics IntelligentProcesses High VolumeData Acquisition Speed of Thought Analysis Applications-Embedded Analytics Multi-structured Data Persistence Interactive Dashboards Guided User Navigation Low LatencyData Processing Discovery and Advanced Analytics Performance and Strategy Management Single Version of the Truth Event Processing Real-Time Decisions System-GeneratedData OperationalData ExternalData COTSData HistoricalData AnalyticalData Reference Data Content Public Cloud Managed Services Private Cloud Traditional IT

15. Big Data & Analytics Reference Architecture Multi-Channel Delivery Complete Logical View Governance Desktop Laptop Mobile Tablet Print Email SMS Interaction Layer Interactive Dashboards Charts & Graphs Spreadsheets Reports Intelligence Analysis Tools Advanced Analytics Tools Guided Analysis Process Layer Security Custom Analytic Applications Process-Specific Analytic Applications Industry-Specific Analytic Applications Helps you to: • Ensure your Big Data and analytics solution includes all the necessary capabilities • Defines the Big Data & Analytics solution as a complete and integrated solution rather thana piecemeal effort • Map on your currentcapabilities to find gaps Performance Management Services Layer Presentation Services Business Rules Business Activity Monitoring Monitoring Information Services Event Handling Data Processing Data Virtualization Event Detection Information Layer HistoricalData Analytical Data Discovery Data In-DB Analytics Management Data Ingestion COTS Data Reference Data Operational Data System-GeneratedData ExternalData Content Modeling Shared Infras-tructure Database Machine Big Data Appliance Analytics Machine

16. Oracle Services Designed to Help Make You Successful • Maximize Oracle technology • Targeted services based on your needs to maximize the performance of Oracle technology • Services across the lifecycle • Portfolio of services designed across the lifecycle of Oracle product adoption and optimization • Oracle technology experts • Lifecycle services leverage experience and Oracle best practices

17. Adoption & Optimization of Oracle Technology Using Best Practices and Product Expertise • Architecture, Planning,Implementation Services Complete Support for Oracle Software, Hardware, Engineered Systems Mission Critical Support Services for AllOracle Applications and Technologies Your Complete Training Source forOracle Software and Hardware

18. Oracle Consulting Core Capabilities Architecture and Strategy Information Architecture/Big Data Blueprint & Roadmap IT Governance Migration and Upgrade to Latest Oracle Technology Solution Design and Implementation Data Acquisition Rapid Start Migration and Implementation Performance Tuning and Solution Optimization Risk and Operational Analysis and Recommendations Problem Remediation Optimization and Best Practices World Class Methodology and Infrastructure:Migration Factory | Oracle Unified Method | Technology Labs

19. Case Study: Thomson Reuters • Oracle Business Intelligence • “Analytics as a Service” platform to 1500+ sales and marketing, on billion-row customer usage datasets • Deeper historical analysis of customer interaction, subscription value, and other financial and internal project data • Faster, higher volume analysis to drive customer acquisition and retention of markets and professional subscriptions

20. Case Study: Land O’Lakes • Oracle Endeca Information Discovery • Maximize profitability by positioning higher margin products • Leverage detailed regional seed & crop protection data to drive sales • Correlate marketing initiatives with sales performance • Interactive analytics on 20 data sources for 4000 sales & marketing users • 1.5 years time savings and $4 million implementation cost savings • Better insight on regional sales performance