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Oracle Exadata for SAP
3 Copyright © 2010, Oracle Corporation and/or its affiliates – 3 –
4 World’s Most Popular Database Oracle Database 11g #1 in RDBMS market share #1 for enterprise applications #1 for data warehousing #1 for SAP applications #1 for SAP Business Warehouse © 2011 Oracle Corporation
5 Oracle Development for SAP Team Located at SAP HQ in Walldorf, Germany Long-established working relationship Enables technology transfers between Oracle and SAP Optimization of SAP products for Oracle technology ‒ Implementation & testing new Oracle products on SAP Worldwide customer & pilot support ‒ Walldorf ‒ Palo Alto ‒ Tokyo SAP is Oracle’s largest reseller ‒ Multi year Partners agreements in place © 2011 Oracle Corporation
6 Enabling SAP Applications Years of continuous Oracle innovation Real Application Clusters First SAP/BW release on Oracle First SAP/R3 release on Oracle Transparent Data Encryption Partitioning Oracle Database Vault Automatic Storage Management OLTP Compression Real Application Testing Oracle Exadata Oracle Linux Oracle Database 10g Oracle Database 11g Read-only table compression 2011 Oracle9 i Database Oracle Exalogic © 2011 Oracle Corporation
7 Why SAP Customers Choose Oracle Highest Quality of Service for Business Users Best Performance & Scalability Best Deployment Flexibility Best Availability & Reliability Best Support for Very Large DBs Best Database Security Best Database Manageability © 2011 Oracle Corporation
8 SAP Customers Rely on Oracle © 2011 Oracle Corporation
9 Why Oracle Exadata? © 2011 Oracle Corporation
10 Oracle Exadata Database Machine One architecture for… Online Transaction Processing Data Warehousing Database Consolidation © 2011 Oracle Corporation
11 Oracle Exadata Database Machine One architecture for… SAP ERP 6.0 SAP Business Warehouse Database Consolidation © 2011 Oracle Corporation
12 Extreme Performance Platform Ideal for Consolidating SAP Application Databases Database Server Pool –Oracle Database 11g Release 2 –Oracle Real Application Clusters –Automatic Storage Management Storage Server Pool –Up to 336 TB disk –5 TB flash storage –Oracle Exadata Storage Software InfiniBand Network –40 Gb/sec redundant switches © 2011 Oracle Corporation
13 Intelligent Storage Innovations Oracle Exadata Storage Software Smart Scans ‒ Offload query processing ‒ Scale-out storage Hybrid Columnar Compression 1) Efficient compression increases effective storage capacity and increases user data scan bandwidths by a factor of up to 10X Compressed primary standby test dev’t backup Uncompressed Smart Flash Cache – Accelerates I/Os up to 30x – Doubles data scan rate Benefits Multiply 1) Hybrid Columnar Compression can be used after SAP approval © 2011 Oracle Corporation
14 Exadata Smart Flash Cache Fastest Flash with Best Database Integration Exadata has 5 TB of PCI flash ‒ Flash PCI cards avoid disk controller bottlenecks ‒ Store up to 15 TB using Advanced compression Intelligently manages flash storage ‒ Smart Flash Cache holds hot data ‒ Gives speed of flash, cost of disk Exadata flash cache achieves: Over 1.5 million IO/sec from SQL (8K) Sub-millisecond response times © 2011 Oracle Corporation
15 Oracle Exalogic Elastic Cloud X2-2 Integrated Compute, I/O, Networking and Storage Shared storage for applications Clustered for HA 40 TB SAS disk 4 TB read cache 72 GB write cache Integrated Storage 40 Gb/sec links 10 Gigabit Ethernet connectivity to datacenter InfiniBand I/O Fabric and 10GbE/GbE 30 x86 compute nodes 360 Xeon cores (2.93 GHz) 2.8 TB DRAM 960 GB SSD Compute Nodes © 2011 Oracle Corporation
16 All Database Machines are the same ‒ Delivered tested and ready-to-run ‒ Highly optimized ‒ Highly supportable ‒ No unique configuration issues Runs existing OLTP and DW applications ‒ Over 30 years of Oracle Database capabilities Leverages Oracle ecosystem ‒ Skills, knowledge base, people, partners Standardized Configuration Deploy in days not months © 2011 Oracle Corporation
17 Serves as farm/cloud for databases ‒ Lowers costs Extreme performance for complex mix of OLTP, DW, batch & reporting workloads ‒ Increases utilization Automated I/O and CPU resource management isolates workloads ‒ Reduces management Consolidating Databases on Exadata © 2011 Oracle Corporation
18 Workload Resource Management For mixed Workloads and Multi-Databases Ensure databases get correct amount of I/O and CPU resources ‒ ERP: 33% of resources ‒ BW: 67% of resources Ensure ERP tasks get correct resources ‒ Interactive gets priority before Batch Ensure BW tasks get correct resources ‒ Reporting: 70% of resources ‒ ETL: 30% of resources © 2011 Oracle Corporation
19 SAP Customer Case Study Business Background ‒ European B-2-B stationery and office supply retailer ‒ Operates in 30+ countries ‒ 30% growth expected within next 4 years Challenges ‒ Long-running invoicing batch run times ‒ Cost and effort to administer large number of SAP databases ‒ New B-2-B process couldn‘t be supported on current system © 2011 Oracle Corporation
20 Customer’s Requirements Goals ‒ Expose “real“ SAP workloads to an Exadata environment ‒ Measure performance increase (throughput & response times) ‒ Show how Oracle technology can help minimize the impact of hardware and software failures for the business Conditions ‒ Use standardized Oracle Exadata configuration ‒ No manual tuning or configuration changes ‒ All tests administered by customer's staff © 2011 Oracle Corporation
21 Conducting Proof of Concept at Oracle Solution Centre in UK Preparation ‒ Installation of the entire IT infrastructure for SAP ‒ Upgrade 6.5 TB data from Oracle Database 10g to Exadata ‒ Generate simulation of online users in a web shop ‒ Generate batch job load for invoicing Execution Environment ‒ Oracle Exadata Database Machine X2-2 Half-Rack ‒ 5 x Sun Blade 6270 M2 running Solaris10 for Application Tier ‒ All tests administered by customer's staff © 2011 Oracle Corporation
22 Results from Proof of Concept “Faster performance out-of-the-box” Online User Activity ‒ Simulated over 6,000 concurrent users ‒ Response times of ~0.9s with 17% CPU utilization across 4 nodes ‒ Unable to “saturate“ system Batch Job Results ‒ Simulated over 900 batch jobs running in parallel ‒ Reduced batch run times by 2/3rds (11:30 to 3:45 hours) ‒ Only 2 Database Server nodes used for batch jobs © 2011 Oracle Corporation
23 Complete Family Of Database Machines From quarter-rack to multi-rack configurations Oracle Exadata X2-2 2 to 8 (12 core) database nodes Oracle Exadata X2-8 2 (64 core) database nodes Quarter Half Full, Multi-Rack Full-Rack Multi-Rack Field Upgradeable © 2011 Oracle Corporation
24 Exadata Storage Expansion Rack Big Data for less Pre-built storage-only rack Connects to anyExadata Database Machine For applications that need more space but not more compute –On-disk backups (27 TB/hour) –Historical or archive data –File data, LOBs, XML data, documents –Images, and other large unstructured data Attractive pricing ( ~ $7,000 per TB ) © 2011 Oracle Corporation
25 Oracle Exalogic and Oracle Exadata Easiest Path to Extreme Performance Java EE App. SAP ERP App. SAP ERP App. SOASOA SAP BW App. IDMIDM E20E20 Custom App. Data Mart SAP BW Data SAP ERP Data SAP ERP Data SOA Dehydration Data Ware- house InfiniBand Exalogic Exadata Application Tier Database Tier © 2011 Oracle Corporation
26 Oracle Exadata for SAP A major leap in performance, capacity and value Redundant, secure, scale-out architecture Eliminate systems integration trial-and-error Run existing SAP databases unchanged Utilize existing personnel, skills, Oracle licenses Improve performance of SAP applications Consolidate platforms, databases, power and cooling © 2011 Oracle Corporation
27 For More Information oracle.com/sap oracle.com/exadata sdn.sap.com/irj/sdn/ora © 2011 Oracle Corporation
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