• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
Oracle Database 11g Lower Your Costs
 

Oracle Database 11g Lower Your Costs

on

  • 5,269 views

Graham Wood's Lowering Costs with Oracle Database 11g Presentation

Graham Wood's Lowering Costs with Oracle Database 11g Presentation

Statistics

Views

Total Views
5,269
Views on SlideShare
5,241
Embed Views
28

Actions

Likes
4
Downloads
221
Comments
0

2 Embeds 28

http://www.slideshare.net 27
http://www.lmodules.com 1

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment
  • Reduce capital costs by factor of 5x Reduce storage costs by factor of 4x Improve performance by at least 10x Eliminate redundancy And much more….
  • SAP Standard Application Benchmarks were developed by SAP AG to provide comparative load analysis of SAP solutions. These results, as of March 25, 2008, have been certified by SAP AG. The SAP certification number for the latest results was not available at press time and can be found at the following Web page: http://www.sap.com/benchmark As of March 25, 2008: 1 The SAP SD-Parallel Standard Application Benchmark performed on November 26, 2007 by IBM in Beaverton, OR, USA has been certified with the following data: 37,040 SAP SD-Parallel Benchmark users, 1.86 seconds average dialog response time, 3,749,000 fully processed order line items per hour, 11,247,000 dialog steps per hour, 187,450 SAPS. Server configuration: IBM System p 570, 8 processors/16 cores/32 threads, POWER6, 4.7 GHz, 128 KB L1 cache and 4 MB L2 cache per core, 32 MB L3 cache per processor, 128 GM main memory, running AIX 5L version 5.3, Oracle 10 g Real Application Clusters and SAP ERP 6.0. Certification Number: 2008013 2 The SAP SD-Parallel Standard Application Benchmark performed on November 6, 2007 by IBM in Beaverton, OR, USA has been certified with the following data: 36,000 SAP SD-Parallel Benchmark users, 1.76 seconds average dialog response time, 3,673,670 fully processed order line items per hour, 11,021,000 dialog steps per hour, 183,680 SAPS. Server configuration: IBM System p 570, 8 processors/16 cores/32 threads, POWER6, 4.7 GHz, 128 KB L1 cache and 4 MB L2 cache per core, 32 MB L3 cache per processor, 128 GM main memory, running AIX 5L version 5.3, Oracle 10 g Real Application Clusters and SAP ERP 6.0. Certification number: 2007066 3 The SAP certification number for the following 2, 3 and 4-node results was not available at press time and can be found at www.sap.com/benchmark. Four-node Results - The SAP SD-Parallel Standard Application Benchmark performed on November 14, 2007 by IBM in Beaverton, OR, USA has been certified with the following data: 30,016 SAP SD-Parallel Benchmark users, 1.86 seconds average dialog response time, 3,036,000 fully processed order line items per hour, 9,018,000 dialog steps per hour, 1151,800 SAPS. Server configuration: IBM System p 570, 8 processors/16 cores/32 threads, POWER6, 4.7 GHz, 128 KB L1 cache and 4 MB L2 cache per core, 32 MB L3 cache per processor, 128 GM main memory, running AIX 5L version 5.3, Oracle 10 g Real Application Clusters and SAP ERP 6.0. Certification Number: 2008012 Three-node Results - The SAP SD-Parallel Standard Application Benchmark performed on November 16, 2007 by IBM in Beaverton, OR, USA has been certified with the following data: 22,416 SAP SD-Parallel Benchmark users, 1.94 seconds average dialog response time, 2,252,330 fully processed order line items per hour, 6,757,000 dialog steps per hour, 112,620 SAPS. Server configuration: IBM System p 570, 8 processors/16 cores/32 threads, POWER6, 4.7 GHz, 128 KB L1 cache and 4 MB L2 cache per core, 32 MB L3 cache per processor, 128 GM main memory, running AIX 5L version 5.3, Oracle 10 g Real Application Clusters and SAP ERP 6.0. Certification Number: 2008011 Two-node Results - The SAP SD-Parallel Standard Application Benchmark performed on November 16, 2007 by IBM in Beaverton, OR, USA has been certified with the following data: 15,520 SAP SD-Parallel Benchmark users, 1.94 seconds average dialog response time, 1,559,330 fully processed order line items per hour, 4,678,000 dialog steps per hour, 77,970 SAPS. Server configuration: IBM System p 570, 8 processors/16 cores/32 threads, POWER6, 4.7 GHz, 128 KB L1 cache and 4 MB L2 cache per core, 32 MB L3 cache per processor, 128 GM main memory, running AIX 5L version 5.3, Oracle 10 g Real Application Clusters and SAP ERP 6.0. Certification Number: 2008010 The SAP SD Standard Application Benchmark performed on April 23, 2007 by IBM in Beaverton, OR, USA has been certified with the following data: Number of benchmark users & comp.: 2,035 SD (Sales & Distribution); Average dialog response time: 1.99 seconds; Fully processed order line items/hour: 203,670; Dialog steps/hour: 611,000; SAPS: 10,180; Average database request time (dia/upd): 0.011 sec / 0.015 sec; CPU utilization of central server: 99%; Operating system, central server: AIX 5L 5.3; RDBMS: Oracle Database 10g; SAP Release: SAP ERP 2005. Configuration of central server: IBM System p 570, 2 processors / 4 cores / 8 threads, POWER6, 4.7 GHz, 128 KB L1 cache and 4 MB L2 cache per core, 32 MB L3 cache per processor, 32 GB main memory. . Certification number: 2007037. (2) The SAP SD Standard Application Benchmark performed on April 24, 2007 by IBM in Beaverton, OR, USA has been certified with the following data: Number of benchmark users & comp.: 4,010 SD (Sales & Distribution); Average dialog response time: 1.96 seconds; Fully processed order line items/hour: 402,330; Dialog steps/hour: 1,207,000; SAPS: 20,120; Average database request time (dia/upd): 0.010 sec / 0.014 sec; CPU utilization of central server: 99%; Operating system, central server: AIX 5L 5.3; RDBMS: Oracle Database 10g; SAP Release: SAP ERP 2005. Configuration of central server: IBM System p 570 Model 9117-MMA, 4 processors / 8 cores / 16 threads, POWER6, 4.7 GHz, 128 KB L1 cache and 4 MB L2 cache per core, 32 MB L3 cache per processor, 64 GB main memory. . Certification number: 2007038
  • Build system image once Database servers Application servers Deploy as required Reduce deployment time
  • Data growth continues to outpace IT budget growth: Business finds new sources + compliance requires longer retention Data in most databases cannot be segmented by corporate value. Production storage might be duplicated 4X (or more) by standby and DR systems, and the backup process. Storage is becoming the most significant infrastructure cost!
  • Taken from customer video: http://www.oracle.com/pls/ebn/live_viewer.main?p_direct=yes&p_shows_id=7195528 Date of Quote: September 2008
  • Recent disasters have renewed interest in HA and DR Cheaper servers and virtualization technology make HA/DR affordable to more applications Global businesses look to eliminate “nightly maintenance windows” Expectations for performance and availability set by “best-in-class” - Amazon, eBay, Google, etc.
  • Quote: Approved by Sue Merrigan from Joe Meeks ( Director, Product Management for HA solutions at Oracle) Date of Quote: September 2008 Headquartered in Denver, Intermap Technologies is a digital map company creating uniform high-resolution 3D digital models of the earth’s surface. The Company is proactively remapping entire countries and building uniform national databases, called NEXTMap ®, consisting of elevation data and geometric images of unprecedented accuracy to be used within commercial applications such as energy, engineering, personal navigation, wireless communications, and insurance risk assessment, among others. Intermap’s data is stored, managed and secured using Oracle Database 11g and the Oracle Spatial option. Intermap’s multi-terabyte database is protected using Oracle Active Data Guard option that replicates transactions to a mirrored system at their disaster recovery site.
  • Taken from customer video Date of Quote: September 2008
  • Data warehousing can be described as driven by four trends today. From a business standpoint, organizations are increasingly competing through the use of analytics. The Harvard Business Review has published several articles regarding this and some widely read books describe how companies that use analytics are outperforming their competitors. The need to manage by fact drives organizations to retain more detailed data over longer histories to resulting in more realistic outcomes and better predictions. Optimized Platforms are increasingly used to eliminate errors in platform configuration procedures. More manageable environments are possible through improved software. Pre-defined data models provide a starting point for a successful deployment. These appear through systems integrators and increasingly as software applications from vendors.
  • The CME (Chicago Merchantile Exchange) Group is the world's largest future exchange. It provides facilities for electronic trading, clearing, settlement, and deliveries. In 2007, The CME Group traded approximately 2.77 billion contracts with a face value of approximately $1,200 trillion. In order to help users make informed business decisions on trades, quotes and products, The CME Group is dependent on its 15 terabyte Oracle data warehouse which has been experiencing growth rates of 2-300% per year. With this scale of data growth, one of The CME Group’s biggest technical challenges is addressing their query I/O bottlenecks that can limit data warehouse performance and scalability. The CME Group’s 15 terabyte data warehouse runs on a 10-node HP Linux Cluster running Oracle Real Application Clusters attached to 2 HP 9990V storage arrays with a total of 1,280 disks. Benchmarking their data warehouse on a grid of 4 HP Linux servers running Oracle Database 11g and Real Application Clusters attached to 6 HP Oracle Exadata Storage Servers with 72 disks resulted in an average performance improvement of 10-15x. One query that used to take 4 minutes to complete is now completing in 10 seconds, demonstrating both the performance and scalability of Oracle Exadata.
  • Databases most valuable enterprise assets Digital data explosion: 1800 exabytes by 2011 (IDC) More value requires more security Perimeter security is not enough Insider theft/fraud is top of mind for IT groups Hackers attacking from inside the firewall Regulatory compliance is a critical driver Expanding data privacy and protection laws 90% companies behind (IT Policy Compliance Group) Disclosure laws make data breaches costly “ Right Sourcing” reduces IT costs, but increases need for security and controls Partners implicated in 40% of breaches Off-shoring considerations
  • Most organizations are 30%* below achievable IT productivity levels because of manual db management 40% of CIOs surveyed cite lack of automation tools* 60%–70% of IT budget is spent on operations and maintenance** * Enterprise Management Associates, 2007 ** CIO Magazine , 2007
  • Taken from customer snapshot: http://www.oracle.com/customers/snapshots/starwood-hotels-and-resorts-worldwide-snapshot.pdf
  • Taken from customer snapshot: http://www.oracle.com/customers/snapshots/comic-relief-db-snapshot.pdf Date of Quote: November 2008 Comic Relief Leverages Technology Innovations to Increase Donations Almost 100-Fold in 10 Years Comic Relief is a U.K.-based charitable organization working to end poverty and social injustice by raising funds through the power of entertainment. During Comic Relief’s biennial Red Nose day and sport relief campaigns members of the public get sponsored to raise funds, and donations are pledged via the internet and by telephone during live TV broadcasts. Solution Pursued strategy of leveraging technology advances to increase transaction speed, improve service to donors, drive innovation, and cut IT costs by upgrading to Oracle Database 11 g Processed 100% of donations received during Red Nose Day and sport relief live events using Oracle’s virtualized, grid-based infrastructure Reduced use of third-party vendor tools, skill sets, and costs associated with managing Comic Relief’s infrastructure Maximized resources available for donation processing during live events Used Oracle Database 11 g ’s new automated storage management, disk space compression, and partitioning features to improve information manageability and data retrieval Cut system management overheads with Oracle Database 11 g ’s new integrated, automated workload management capabilities Increased system performance by offloading resource-intensive activities, such as calculating real-time donations total for broadcast during live events, from production database to a synchronized standby site Set to increase online funds raised, from US$800,000 in 1999 to an anticipated US$50 million in 2009
  • Taken from customer snapshot: http://www.oracle.com/customers/snapshots/interactive-one-db-snapshot.pdf Date of Quote: February 2009

Oracle Database 11g Lower Your Costs Oracle Database 11g Lower Your Costs Presentation Transcript

  • Lower your IT Costs Graham Wood
  • “ Our prize for Best Database went to the incomparable Oracle Database 11g, a release with capabilities -- namely Real Application Testing and Active Data Guard -- that DBAs previously could only dream about.” Doug Dineley Executive Editor InfoWorld Test Center
  • Continuous Innovation Exadata Storage Real Application Testing Advanced Compression Automatic Storage Management Transparent Data Encryption Self Managing Database XML Database Oracle Data Guard Real Application Clusters Flashback Query Virtual Private Database Built in Java VM Partitioning Support Built in Messaging Object Relational Support Multimedia Support Data Warehousing Optimizations Parallel Operations Distributed SQL & Transaction Support Cluster and MPP Support Multi-version Read Consistency Client/Server Support Platform Portability Commercial SQL Implementation Oracle 2 Oracle 9 i Oracle 5 Oracle 6 Oracle 7 Oracle 8 Oracle 8 i Oracle 10g Oracle 11g
  • Today’s IT & Business Challenges Colliding pressures
    • Reduce IT Costs
    • Reduce Complexity
    • Reduce Risk
    • Increase Rate of Change
    • Manage More Information
    • Improve Quality of Service
  • Is This Your Data Center?
    • Multiple vendors products
    • Lots of processor power
    • Separate storage silos
    • Different operating systems
    HR CRM ERP Data Warehouse Data Mart Data Mart Legacy Applications Data Mart eMail
  • Consolidate onto the Grid Use low-cost server and storage grids Management Storage Application Servers Database Servers
  • Consolidate on the Grid Oracle’s Grid Computing Architecture Grid Control Automatic Storage Management In-Memory Database Cache Real Application Clusters
  • Real Application Clusters Virtualize servers resources
    • Runs all Oracle database applications
    • Highly available and scalable
    • Adapts to changes in workloads
    Online Sales HR ERP
  • Oracle Real Application Clusters Beats SMP Premium, Pay as you Grow Source: Pricing from tpc.org, quoted server costs Year 1 Year 2 Year 3 Year 4 Year 5 IBM Power 595 Server Model 9119-FHA Cost: SMP $12m
  • Oracle Real Application Clusters Beats SMP Premium , Pay as you Grow Source: Pricing from tpc.org, quoted server costs Year 1 Year 2 Year 3 Year 4 Year 5 IBM Power 595 Server Model 9119-FHA Cost: SMP $12m IBM Power 550 Express Model 8204-E8A Cost: Cluster $1.9m $0.9m $0.9 Savings $10.1m $10.4m $9.5m $9.8m $8.8m
  • Best Scalability and Performance Linear scaling across SMP & Clusters Results, as of March 25, 2008, have been certified by SAP AG, www.sap.com/benchmark . World Record SAP SD Benchmark Results Single Node SMP 2 Nodes 3 Nodes 4 Nodes 5 Nodes # of CPU Cores Thousands SD Users 0 5 10 15 20 25 30 35 40 4 8 32 48 64 80
  • “ We’ve been able to save over $5 million dollars a year by re-platforming from our mainframe to Oracle Real Application Clusters.” Eugene Park Senior Director of Platform Services PG&E
  • Low-Cost Extreme Grid Performance Oracle In-Memory Database Cache
    • Data cached in application memory
      • Database tables
      • Subsets of rows & columns
    • Fast, consistent response times
      • High transaction throughput
    • Standard SQL interface
      • Synchronized with Oracle Database
    Cached tables Business Applications Cached tables Business Applications
  • German Stock Exchange Missed response time target of 80 milliseconds 0 50 100 150 200 250 300 350 Transaction Time in milliseconds SLA Target < 80ms Trading Day Intervals BEFORE Oracle In-Memory Database Cache
  • German Stock Exchange Meeting response time target of 80 milliseconds 0 50 100 150 200 250 300 350 Transaction Time in milliseconds SLA Target < 80ms Trading Day Intervals AFTER Oracle In-Memory Database Cache
  • Consolidate onto the Grid Use low-cost server and storage grids Management Storage Application Servers Database Servers
  • Consolidate onto the Grid Now available on the cloud Storage Application Servers Database Servers Management
  • How do you get there? Rapid Grid Provisioning Storage Oracle VM Oracle Applications Non-Oracle Applications Non-Oracle Applications Oracle Database Fusion Middleware Enterprise Linux Microsoft Windows Enterprise Linux Enterprise Linux Oracle/Red Hat Linux
  • Storage Costs Keep Growing Data requirements change over time Source: Winter TopTen Survey, Winter Corporation, Waltham MA, 2008. 200 400 600 800 1000 1998 2000 2002 2004 2006 2008 2010 Terabytes of Data Rate of Database Growth Actual Projected
  • Automatic Storage Management Lowers the cost of data management
    • Virtualize and share storage resources
    • Advanced data striping for maximum I/O performance
    • Online addition and migration of storage
    Online Sales HR ERP
  • Managing Data Growth Partition for performance, management and cost 5% Active 95% Less Active ORDERS TABLE (7 years) 2003 2008 2009 High End Storage Tier Low End Storage Tier 2-3x less per terabyte
  • Further Reduce Storage Costs Advanced Compression
    • Compress large application tables
      • Transaction processing, data warehousing
    • Compress all data types
      • Structured and unstructured data types
    • Improve query performance
      • Cascade storage savings throughout data center
    Compression 4X Up To
  • Real World Compression Results 10 Largest ERP Database Tables
    • 3x Saving
    MB Data Storage Table Scans Time (seconds) 2.5x Faster DML Performance Time (seconds) < 3% Overhead
  • “ One of the large Oracle RAC systems we have is a 16-node system with six storage nodes behind it….the uncompressed data within it is about a fully petabyte worth of data. It's 200 terabytes compressed.” David Apgar Business Continuity Planning High Availability Engineer Yahoo
  • “ Our Chief Financial Officer likes the Advanced Compression option of Oracle Database 11g because with it we won't need anywhere from a third to two thirds of the disks we have right now.” Mike Prince Chief Technology Officer Burlington Coat Factory
  • Traditional High Availability Expensive, idle redundancy Idle Failover Server Veritas Volume Manager EMC SRDF Idle Disaster Recovery Production Server Solaris Cluster HP ServiceGuard IBM HACMP BMC SQL Backtrack
  • Oracle Maximum Availability Architecture Low Cost, Fully Utilized Redundancy Automatic Storage Management Real Application Clusters Secure Backups to Cloud and Tape Active Data Guard On Disk Recovery Area Data Guard
  • “ Oracle Active Data Guard was a quick win. We easily dual-purposed our ten terabyte standby database for both disaster protection and for secure read-only access to our public-facing eCommerce applications.”    Sue Merrigan Director, Information Management Intermap Technologies
  • Oracle Maximum Availability Architecture Eliminate the cost of planned downtime Add/Remove Storage Redefine and Reorganize Tables Online Production Testing Add/Remove Nodes and CPUS Undo Human Error Online Upgrades Online Patching
  • “ High availability is absolutely essential for us…we now use Oracle RAC for instance failover, data guard for site failover, ASM to manage our storage, and Oracle clusterware to hang the whole thing together.” Jon Walden Executive Architect Commonwealth Bank of Australia
  • Why Oracle Database 11g? For grid computing, high availability and storage To: From: Low cost consolidated compressed storage Expensive storage silos Low cost clustered servers Expensive SMP Servers Consistent, extreme performance Unpredictable performance Fully utilized redundancy Idle redundancy
  • Distributed Data Marts and Servers Expensive data warehouse architecture Data Marts Data Mining Online Analytics ETL
  • Oracle Database 11g with integrated ETL, Analytics & Data Mining Consolidated Data Warehouse Single source of truth on low cost servers & storage Data Marts Data Mining Online Analytics ETL
  • Data Warehousing Optimizations Working smarter not harder … Data Mining OLAP Cubes Join Indexing Bitmap Indexing B-tree Indexing Partitioning Oracle Database 11g Query Results Cache ETL & Data Quality Key Features
  • Storage Performance Problem
    • Can’t ship data to Database servers fast enough
  • Maximize Data Bandwidth
    • Wider pipes and more of them
    • Reduce data going through the pipes
  • HP Oracle Exadata Storage Server Storage Optimized for Oracle Data Warehouses
    • 12 disk drives, up to 12 TB raw storage
    • 2 Infiniband connections
    • 2 Intel processors, 8 cores
    • Oracle Enterprise Linux
    • Automatic Storage Management
    • Scale storage, processing and network capacity
  • Query Processing: Using Traditional Storage What Were Yesterday’s Sales? SUM Oracle Database Grid Storage Array Retrieve Entire Sales Table Select sum(sales) where salesdate= ‘02-Mar-2009’ …
  • Query Processing: Using HP Oracle Exadata Storage Server What Were Yesterday’s Sales? SUM Oracle Exadata Storage Grid Select sum(sales) where salesdate= ‘02-Mar-2009’ … Retrieve Sales for Mar 02 2009 Oracle Database Grid
  • HP Oracle Database Machine Extreme Performance, Unlimited Scalability
    • 8 Oracle Database 11g servers
      • Oracle Enterprise Linux
      • Oracle Real Application Clusters
      • Oracle Partitioning
      • Automatic Storage Management
    • 14 HP Oracle Exadata Storage Servers
      • 112 Intel Processor Cores
      • 168 450 or 1000GB Disk Drives
    • 4 Infiniband switches
      • 14 GB/Sec. data bandwidth
    • Scale out by adding more machines
  • “ Oracle Exadata outperforms anything we’ve tested to date by 10 to 15 times. This product flat-out screams .” Walt Litzenberger Director Enterprise Database Systems The CME Group
  • Why Oracle Database 11g? For data warehousing To: From: Integrated BI grid Multiple BI Servers Extreme query performance Performance bottlenecks Single source of truth Distributed data marts Extended deployment time $995,328 Reduced time to deployment
  • How Secure is Your Data? Source: DataLossDB http://datalossdb.org Publicly Reported Data Breaches Millions of Records Lost (millions) 0 50 100 150 200 250 300 350 400 2008 2007 2006 2005
  • Oracle Database Security Auditing and Configuration Scanning Configuration Management Audit Vault Total Recall Monitoring
  • Oracle Database Security Fine Grain Access Control Database Vault Label Security Access Control Configuration Management Audit Vault Total Recall Monitoring
  • Oracle Database Security Data encryption and masking Data Masking Advanced Security Secure Backup Encryption and Masking Database Vault Label Security Access Control Configuration Management Audit Vault Total Recall Monitoring
  • “ It is truly transparent data encryption. Within a matter of a few hours, the basic components were running and available, and we didn’t notice any performance impact.” Sam Lebron Senior Architect Dress Barn
  • Why Oracle Database 11g? For data security & compliance To: From: Authorised access only Unauthorized access Central audit vault Limited audit silos Single integrated solution 3 rd party point solutions Transparent to applications Application changes $995,328
  • Database Management Proactive, Self-Managing Software Database Management Challenge Full Time Employees Information Complexity Self Managing Software
  • Managing Complexity
    • Automated Management
      • Storage
      • Segment space
      • Memory
      • Statistics
      • SQL tuning
    • Advisors
      • Maximum availability
      • Data recovery
      • Partition
      • Compression
      • Index
    • Fault Diagnostics
      • Support workbench
      • Automatic diagnostic repository
      • Incident packaging service
      • Test case builder
      • Automatic health checks
    • Backup and Recovery
      • Automated backups
      • Flash recovery area
      • Fast incremental backups
      • Flashback database
      • Flashback transaction
  • Oracle Database 11g vs Oracle Database 10g Reducing time and complexity even more… 26% less time 31% fewer steps 0% 25% 50% 75% 100% Time Steps Oracle9i Database Oracle Database 10g Oracle Database 11g
  • “ We made a conscious decision to move away from our previous management tool and establish Oracle Grid Control as the standard going forward. Oracle Grid Control has helped us address system management issues proactively, automate previously manual administrative tasks, and reduce the need for extensive DBA training.” Arup Nanda Senior Director Starwood Hotels & Resorts
  • Traditional Testing Approach Production – 1,000s of Real Online Users PRODUCTION
  • Limited Testing Capabilities Few users trying to be 1,000s of users TEST PRODUCTION
  • Real Application Testing Workload for 1,000s of Online Users Captured Capture Workload PRODUCTION
  • Real Application Testing Workload for 1,000s of Online Users Replayed Capture Replay PRODUCTION TEST Workload
  • What are my upgrade paths?  9.2.0.4
    • The Tools
      • Real Application Testing
      • Database upgrade assistant
      • SQL Plan management
      • Online upgrades
    • The Services
      • Best practices on OTN
      • Upgrade forum
      • Advanced customer services
    How easy is the upgrade?
  • “ Each Oracle upgrade—from Database 8 through to 8 i , 9 i , 10 g and now 11 g —has increased system performance, stability, and availability, while cutting management overheads, and providing ever-higher levels of service to donors .” Charlotte Melén Web Technology Manager Comic Relief
  • Why Oracle Database 11g? For manageability and change To: From: Proactive forward planning Reactive fire fighting Centralized control Point operations Automated, self management Repetitive manual tasks Service level management $995,328 Unpredictable service levels
  • Is This Your Software Portfolio? Manageability Availability Manageability Security Availability Storage Management
  • Is This Your Software Portfolio? Manageability Availability Manageability Security Availability Storage Management Oracle Clusterware Oracle Real Application Clusters Oracle Secure Backup Oracle Data Guard Flashback Operations Online Operations Automatic Storage Management Automatic Space Management Disk based Backup/Recovery Compression Partitioning Exadata Storage Provisioning Pack Configuration Management Pack Tuning Pack Diagnostic Pack Change Management Pack Fine Grained Access Identity Management Secure Application Roles Transparent Data Encryption Database Vault Audit Vault
  • Oracle Stack Complete, Open and Integrated
    • Standard components
    • Certified configurations
    • Comprehensive security
    • Higher availability
    • Easier to manage
    • Lower cost of ownership
    • … .
    Storage Operating System Virtualization Database Middleware Applications
  • “ Oracle (Database 11g, VM, Unbreakable Linux, Enterprise Manager and Business Intelligence) allows us to focus on delivering the best user experience and continue to lower the cost of operations. We owe this in part to the consistent, proven software solutions from Oracle.” Nicholas Tang VP of Technical Operations Interactive One
  • Why Oracle Database 11g? Lowering your IT costs
    • Consolidate onto low cost server & storage grids
      • Unlock Moore’s Law
      • No idle redundancy
      • Use less storage
      • Integrated product set
    • Improve Quality of Service
      • Faster performance
      • Higher availability
      • Comprehensive security
    • Reduce risk of change
  • For More Information http://search.oracle.com or www.oracle.com/database oracle database 11g