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Acaricia un exadata   engineered systems
 

Acaricia un exadata engineered systems

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    Acaricia un exadata   engineered systems Acaricia un exadata engineered systems Presentation Transcript

    • 2/17/20121 1
    • 2/17/2012Sistemas de Ingenieria ConjuntaSimplificación It y Reducción de Costes 2
    • 2/17/2012Market AnalysisEnterprise Computing is too Complex 35-65% is integration Bottom line: 4% of revenue is spent on a commodity that does not improve competitiveness. 3
    • 2/17/2012 What’s Next? 70% of IT cost in Staffing and Implementation Enterprise IT Budget• Sizing & Deployment Planning• Installation & Configuration• Deploying and Scaling• Patching & Maintenance• Platform Administration Copyright © 2011 Oracle Corporation 4
    • 2/17/2012One Engineering TeamBest Performance. Best Value. Cloud Built-In. Compute & Storage Software Oracle Engineered Building Blocks Systems 5
    • 2/17/2012Engineered Systems & AppliancesCloud Buil-in Purpose Built General Purpose Exadata Exalogic Big Data SPARC SuperCluster Database Appliance Exalytics 6
    • 2/17/2012Systems Architecture Matters • Standard Materials • Different Results 7
    • 2/17/2012Lower TCO with Engineered SystemsThe best way to accelerate your IT transformation 8
    • 2/17/2012 Fundamental Value of Engineered Systems Easy, predictable 100’s of Components 1 Machine 1000’s of Hours 1 DayCopyright © 2011 Oracle Corporation - Proprietary and Confidential 9
    • 2/17/2012 Why Engineered Systems? Better performance, easier to buy, cheaper to own Application Integrated OS HP Blades Different Tuned Compute Platform Optimized HP Networking I/O Every Identical Storage Time HP Storage 1 Engineered System 162 parts Unpack to production in hours Months from start to productionCopyright © 2011 Oracle Corporation - Proprietary and Confidential 10
    • 2/17/2012 Transforming the Technology Stack Exadata Oracle Optimized Infrastructure Exalogic Extreme Exalytics Oracle’s Efficiency Optimized HIGH SolutionsEFFICIENCY & VALUE TO CUSTOMER Supercluster Compute, • Engineered Storage, Network, • Tested Software • Tested • Packaged • Certified • Certified • Deployed • Deployed • Supported • Supported together • Upgraded Together RISK LOW INTEGRATION LEVEL HIGH Manageability & Simplicity 11
    • 2/17/2012 Near the business Extreme SAP Exadata Ultimate Storage DWExpansion Platform KitExtreme xDR Consolidat Oracle ion for Apps Telcos Data Retention for Telcos 12 Oracle Restricted and Confidential 12
    • 2/17/2012 Propuesta de ValorAhorro de Espacio y Energía 13 13
    • 2/17/2012USA Homeland Security Dept. Copyright ©2011 Oracle. All rights reserved. 14 Oracle & Dirección General de la Guardia Civil. Confidential 14
    • 2/17/2012 Propuesta de ValorIncremento de Rendimiento 15 15
    • 2/17/2012TurkcellExtreme Performance 16
    • 2/17/2012TurkcellExtreme Performance 17
    • 2/17/2012 Propuesta de ValorAhorro en Administración 18 18
    • 2/17/2012BNP ParibasCOMPANY OVERVIEW RESULTS• Global banking company (largest in Europe and 11th largest company in the •Response times average 17x faster world in 2010 per Forbes) •Indexes on most large tables no longer needed with• Headquarters: Paris, France Exadata• Revenues of US$50 billion •Data Guard handles standby replication to second DB• Employees: 19,600 in 50 countries servicing 13,000 corp. clients Machine. •Read-only tablespaces reduces backup footprint by >85%CHALLENGES / BUSINESS OBJECTIVES •Analytic Functions are used for most statistics,• Keep up with dynamic transactional volume increases that can occur day- greatly simplifying development and code complexity to-day in the financial markets •Can handle dramatic volume increases that can double from one day to the next without impacting users• Deliver complete, accurate, and on-time information to its users and •Indexes of very large tables have been removed saving customers.• An Oracle data warehouse that captures all the messages that traverse the CONFIGURATION electronic global trading floor for accurate, complete and on-time statistics • 2 x SAS half-racks and SATA Exadata Storage servers on equities, commodities and derivatives data • Home-grown Web 2.0 presentation layer (90% of users)SOLUTIONS plus additional tools for power users• Exadata Database Machine (2 half racks SAS) • 1/2 trillion rows accessed• RAC • Size: 30 TB compressed to 9TB• ASM• DataGuard • > 1000 users• EHCC 19
    • 2/17/2012LinkshareCOMPANY OVERVIEW RESULTS• Marketing company providing e-commerce businesses with a vast, high • Chose Oracle Exadata for its high performance, fault tolerance, reliability, and cost advantages quality pay per action (PPA) marketing network, along with expert consultative service •Benefited from multi node processing and storage • Leveraged employees’ existing Oracle transactional• Cost efficient campaigns enable their customers to acquire new customers, environment experience to streamline database and increase revenue, and drive results systems management teams—improving operational efficiencyCHALLENGES / BUSINESS OBJECTIVES •Provided internal users, advertisers and publishers• Enable the company to easily manage huge volumes of historical e- direct access to analytics with OBIEE commerce data in a consolidated database that can scale for future growth• Provide ability to meet the needs of the company’s advertisers and publishers as it continues to expand globally, and as online advertising and CUSTOMER PERSPECTIVE e-commerce continue to grow “Oracle Exadata has helped us consolidate 15 years of• Deploy flexible reporting and analysis tools, including sophisticated historical data onto a reliable data warehousing solution dashboard functionality for business users that enables us to scale for future growth. The solution enables us to guarantee high performance and will playSOLUTIONS a vital role as we expand globally.” Jonathan Levine,• Exadata Database Machine (Full Rack), SAS Chief Operating Officer, LinkShare Corporation• OBIEE• OEM 20
    • 2/17/2012Softbank MobileCOMPANY OVERVIEW RESULTS •3.8x faster processing vs. customer SLA expectation for• A leading Japan mobile phone service company overall workload• Industry: Telecommunications •~3 TB per hour data load• Headquarters in Japan •CDR Summary Process 5-10x faster •Web Access Data summary process 10-15x fasterCHALLENGES / BUSINESS OBJECTIVES •Ability to leverage investment in existing Oracle expertise• Support continued service popularity and data growth throughout company •Scalable platform for future growth • 2+ years #1 growth of subscribers • #1 rated company in industry in popularity polls • 1 TB per month growth in system capacity CONFIGURATION• Leverage transaction data to support key business functions: • 60-90 TB DW size • Marketing • Currently in production – has moved former Teradata • Finance workload to Exadata • A range of other users •Data Warehouse system• Address capacity and performance issues in existing non-Oracle data •Web log analysis warehouse environmentSOLUTIONS• 3 Full Racks Oracle Database Machine; 2 in cluster in production• Oracle Database 21
    • 2/17/2012TurkcellCompression in Action Confidential – Internal use only 22
    • 2/17/2012 Propuesta de ValorAhorro en Tiempo de Carga 23 23
    • 2/17/2012 Bayer Healthcare JapanCOMPANY OVERVIEW RESULTS• Bayer is a global enterprise with core competencies in the fields of health • 350 sales marketing users care, nutrition and high-tech materials • Consolidation of OLTP and DW same machine• Best known in Japan as the company who invented Asprin • Reduced Number of data marts by 50%• Products include Bayer Schering Pharma products, Animal Health, • Monthly data load reduced from 7 hours to 1 hour Intendis, Medrad, Bayer Asprin • Weekly processing time for datamarts decreased from 10 hours, to 45 minutesCHALLENGES / BUSINESS OBJECTIVES • Decreased power consumption by moving from 1 DW / 1• Performance, maintenance, cost issues OLTP server to a single Database Machine• 9800 specialized data marts – redundancy and latency issues • Reduced headcount by consolidating two different• 10 hours data loads affecting marketing analysis productivity technologies for TP and DW to a single Exadata Database• Improve business process by consolidating distributed OLTP systems Machine• Reduce TCO by consolidating DW and TP in to a single data repository •Queries reduced by 1/3SOLUTIONS •140 Million records processed daily• Exadata Database Machine (1/4 Rack) •Cost savings from reduced electricity consumption and floorspace used 24
    • 2/17/2012Banca TransilvaniaCOMPANY OVERVIEW RESULTS •Improved data warehouse and OLTP processing by• Leader in the Romanian financial industry; first banking institution to be 20% to 30% listed on the Bucharest Stock Exchange. •Doubled the number of reports that bank specialists• 500 branches, offers retail and business banking services can leverage for insight, such as consumer behavior• Insurance services and a specialized division dedicated to medical staff. and the degree of penetration of certain bank products •Reduced maintenance costs by 15% to 30%,CHALLENGES / BUSINESS OBJECTIVES •Reduced energy costs by more than 30%,• Expand business reporting capabilities, enabling greater analysis of •Enabled bank specialists to make decisions faster than consumer behavior their competitors, especially in the area of calculating• Ensure the scalability to store an increasing volume of data about interest rates banking customers and transactions •Enabled bank employees to rapidly develop new products• Provide a high level of data security to ensure the privacy of customer and business lines, delivering a competitive advantage financial information• Generate timely reports for management and third parties to enable more accurate decisions• Gain greater agility to quickly introduce new services and lines of business, strengthening the company’s competitive edgeSOLUTIONS• Exadata Database Machine (half rack) 25
    • 2/17/2012 Propuesta de ValorAhorro en Almacenamiento 26 26
    • 2/17/2012Philippine Savings BankCOMPANY OVERVIEW RESULTS• Second-largest savings bank in the Philippines commonly referred to as •Significant performance improvements PSBank or PSB • near real time update for the President’s Dashboard.• Subsidiary of Metrobank •Hybrid Columnar Compression, (10x compression for query mode and 15-50x compression for archive mode) cut storage costsCHALLENGES / BUSINESS OBJECTIVES •Partitioning and ability to execute Database functions• Enterprise BI Solution provides management reports and analytics in storage also reduced storage• Establishes visibility into the banks businesses and risk portfolio.• Performance of poor reports taking three hours to several days for completion. CUSTOMER PERSPECTIVE• Dashboards not accurate “We’re very pleased with the test performance of the Sun• True performance of the bank cannot be measured Oracle Exadata Database Machine Version. We experience significant improvement in performance and definitely, this technology has exceeded our expectations. We are excited to see how we can fullySOLUTIONS capitalize on the benefits in other areas of the bank.” Mr.• Quarter Rack Exadata Database Machine V2 Pascual Garcia, President, Philippine Savings Bank.• RAC• Compression• Partitioning 27
    • 2/17/2012¡MUCHAS GRACIAS! 28