SAS on Oracle for Big Data and Cloud S ervices: Insights into a Strong Partnership (CON8653)
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Transcript of SAS on Oracle for Big Data and Cloud S ervices: Insights into a Strong Partnership (CON8653)
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SAS on Oracle for Big Data and Cloud Services: Insights into a Strong Partnership (CON8653)
Paul Kent, VP Big Data, SASRandy Wilcox, DBA Team Manager, SAS Solutions onDemand
Hermann Baer, Director Product Management, Oracle
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AGENDA
• Introduction• SAS Visual Analytics, SAS High Performance Analytics
• on Oracle Engineered Systems• Oracle & SAS Collaboration
Setting the Stage for Big Data Oracle Database 12c
• SAS Solutions onDemand – SAS Cloud Services
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Reflection on a stronger partnership than ever
SAS High-Performance Analytics and SAS Visual Analytics on Oracle Engineered Systems
Extensive engineering collaboration Sizing, configuration guidance and best practices for
deployment Support for POVs
A strong technology and business alliance to develop solutions and products brings tremendous value and confidence
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BIG DATA When volume, velocity and variety of data exceeds an organization’s storage or compute capacity for accurate and timely decision-making
BIG ANALYTICS
The process surrounding the development, interpretation, and useful application of statistics to solve a problem.Analytics applied to data provides the 4th V = ValueThree types: Descriptive, Predictive, Prescriptive
ANALYTICS
The combination of using ANALYTICS on BIG DATA AND/OR the capability to run advanced or complex analytics on any size data.
OUR PERSPECTIVE Big Data is RELATIVE not ABSOLUTE
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SAS® HIGH-PERFORMANCE
ANALYTICSKEY COMPONENTS
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Oracle Engineered Systems I HARDWARE AND SOFTWARE
Exadata Database Machine
Exalogic Elastic Cloud
Oracle Virtualized Compute
Appliance (OVCA)
Big Data Appliance
SPARC SuperCluster
RDBMS storage compression and database parallelization via “Exadata Storage Servers”
Extreme -performance I/O connecting large amount of compute power and memory
VM Server virtualization – runs Oracle Linux, Oracle Solaris, Windows.Software Defined Networking
Massive disk storage array with high-bandwidth I/O for loading ‘big’ data
SPARC servers, high-performance I/O and Exadata storage servers in one rack
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ANALYTICAL WORKLOAD HOW ANALYTICAL LEADERS ARCHITECT TO EXPLOIT DATA
Analytical Services
Raw Data Pool(HDFS / NoSQL)
Tx Data Sources
Analytical Models and Rules Repository
Fast insights - IN-MEMORY
Event Management Platform
Event Data Store
Analytics Platform
AnalyticalData Warehouse
Operational Execution
Event Data Store (RDBMS)
Event StreamProcessing
R/T Decision Services
EDW
Event Streams
AnalyticalVisualization
ANALYTICSInc. Enterprise Miner
Discovery
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Analytic Data Warehouse / Marts
Relational Data Store
SAS Analyst’sDesktops
SAS Web Clients
SAS Metadata Server
SAS Compute Server
Web Application Server
SAS BUSINESS ANALYTICS FRAMEWORK
Server Tier Web Tier Client Tier Metadata TierData Tier
Copyright © 2012, SAS Institute Inc. All rights reserved.
Analytic Data Warehouse / Marts
Relational Data Store
SAS Analyst’sDesktops
SAS Web Clients
SAS Metadata Server
SAS Compute Server
Web Application Server
SAS BUSINESS ANALYTICS FRAMEWORK
Server Tier Web Tier Client Tier Metadata TierData Tier
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ANALYTICAL WORKLOAD
Analytical Services (on Oracle Exalogic / Big Data / OVCA )
Analytical Models and Rules Repository
SAS ANALYTICSInc. Enterprise Miner
(HDFS / NoSQL)
Oracle Event Processing
Oracle Business
Rules
Oracle Policy Automation Real-Time Decisions
Database & options
ExadataBig Data Appliance
Big Data Connector
RAPID TIME TO VALUE IN STANDARD DEPLOYMENT
SAS Visual Analytics
SAS Business Rules
manager
SAS EventStream
processingSAS Enterprise Decision
Management
SAS Visual Statistics
SAS High Performance
Analytics
SAS Analytics
Accelerator
SAS Grid-in-a-Box
SAS
Copyright © 2012, SAS Institute Inc. All rights reserved.
Analytic Data Warehouse / Marts
Relational Data Store
SAS Analyst’sDesktops
SAS Web Clients
SAS Metadata Server
SAS Compute Server
Web Application Server
SAS BUSINESS ANALYTICS FRAMEWORK
Server Tier
Web Tier
Client Tier Metadata TierData Tier
Infiniband
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Analytic Data Warehouse / Marts
Relational Data Store
SAS Analyst’sDesktops
SAS Web Clients
SAS Metadata Server
SAS Compute Server
Web Application Server
SAS BUSINESS ANALYTICS FRAMEWORK
Server TierWeb Tier
Client Tier Metadata TierData Tier
Infiniband
YourCloud
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HOW DOES IT GET SUCH GOOD PERFORMANCE?SO….
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HOW DOES IT WORK EXALOGIC/BDA/OVCA (COMPUTE) WITH EXADATA (STORAGE)
Exadata
Client
Exalogic / BDA / OVCA
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HIGH-PERFORMANCE ANALYTICS
•Using Different Data and Computing Appliances with Asymmetric HPA•
SAS Server
Data Appliance (Exadata)
Controller Workers
AccessEngine
Computing Appliance (Exalogic/BDA/OVCA)
TK
TKGrid
TK TK libname a oracle server=“dataAppliance”;
proc hpcorr data=a.flights; performance mode=asym host=“computingAppliance”;run;
General Captains
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HIGH-PERFORMANCE ANALYTICS
SAS Server
Data Appliance (Exadata)
Controller Workers
AccessEngine
Computing Appliance (Exalogic/BDA/OVCA)
TK
TKGrid
TK TK libname a oracle server=“dataAppliance”;
proc hpcorr data=a.flights; performance mode=asym host=“computingAppliance”;run;
General Captains
•Using Different Data and Computing Appliances with Asymmetric HPA•
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Table 1: Summation of 5/20/100/200 columns; Baseline: DOP=1 (no parallelism)120M rows, 400 columns, reg_simtbl_400
SAS High-Performance Analytics PerformanceSAS EP Parallel Data Feeders
DOP=1 DOP=24 DOP=24(flash cache)
Add(5) 1.25min 1.5min .5min
Add(20) 2.5min 1.5min .5min
Add(100) 13min 1.5min .6min
Add(200) 16min ~2min 1.25min (10x)
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Table 2: Scan times for 2 tables (200 columns, 400 columns, 120M rows); Baseline: SAS/ACCESS vs. HPA EP feeder
SAS High-Performance Analytics PerformanceSAS EP Parallel Data Feeders
Access Access /DBSlice
SAS HPAUsing EP
Reg_sim_200 1:01:12 0:28:37 0:08:00
Reg_sim_400 1:49:11 0:55:33 0:16:05 (7x!)
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SAS HIGH PERFORMANCE ANALYTICS, SAS VISUAL ANALYTICS ON ORACLE ENGINEERED SYSTEMS
bda101
bda102
bda103-bda118
Hadoop Datanode
SAS High-Performance
Analytics Server Root Node
SAS Visual Analytics Server
TierSAS Visual
Analytics Middle Tier
SAS LASR In-Memory Analytics
Server
Big Data Appliance (BDA)
Hadoop Namenode
SAS Analyst’sDesktops
SAS Web Clients
Hadoop Datanode
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Requirements Analysis
Platform Readiness
Data Acquisition
Model and Analyse
Deployment / Monitor Expand
SAS AND ORACLE WORKING TOGETHER TO CREATE CUSTOMER VALUE
• Joint R & D development and Product Management teams in Cary and Redwood Shores
• Focus on driving SAS technology components to run natively in Oracle database
• Joint performance engineering optimizations
• Template physical architectures developed based on use-cases
• Physically tested and benchmarked together
• Reduction in physical effort• Overall reduction in lifecycle
costs
• Best Practice papers• SAS and Oracle Engineers
provide joint "Sizing and Architecture Analysis and Design"
Analysis Platform Analytics 3.0 Lifecycle Management
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SAS AND ORACLEBETTER TOGETHER
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SAS® EXADATA VALUE PROPOSITIONRandy Wilcox, DBA Team Manager, SAS Solutions onDemand
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SAS SOLUTIONS ONDEMAND OVERVIEW
• SAS Solutions OnDemand – Started in 2000, 450 global staff members• Advanced Analytics Lab (AAL) – Created in 2007• Over 1 PB of data under management • Multiple ASP lines of business, representing over 400 customer sites (5 - 30,000 users
per solution) in more than 70 countries• Retail, financial services, health care, pharmaceutical, government, entertainment analytics • Marketing and fraud analytic solutions
• Experience supporting customers with unique situations• Regulatory constraints - AML, FDA, HIPAA, Safe Harbor, SOC 2 / SOC 3 • Working with multiple parties
• Best Practices• Innovative techniques• Documented processes and procedures
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SAS SOLUTIONS ONDEMAND ADVANCED ANALYTICS LAB
• Formed by CEO Jim Goodnight in 2007• Premier analytic services group• Mission:
• Develop Innovative analytical processes and techniques, using SAS software, to solve our customers' high end business problems.
• Support sales and consulting in generating revenue by helping close analytically challenging engagements
• Produce analytical work products for repeatable processes• 98% AAL members with graduate degrees in analytic fields (34% Ph.D.'s)• 20 approved and 10 pending patents• Learn with the experts to the degree desired
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STAFFING TO SUPPORT ANY CUSTOMER NEED
• Analyst • Application Developer• Business Analyst• Compliance Specialist• Data Architect / Data Modeler• Data Custodian• Data Integration Consultant• Database Administrator• Information Technology
System Administrator• Instructional Designer
• Load Tester• Operations / Maintenance
Engineer• Performance Analyst• Program Manager• Project Manager • Quality Assurance Analyst• Quality Specialist• Release Manager• Repository Administrator • Retail Duty Manager
• Retail Operational Manager• SAS Administrator• Service Desk Consultant• Solution Architect • System Administrator • Technical Account Manager• Technical Architect• Technical Communicator • Technical Lead • Trainer• Web Developer
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SAS SOLUTIONS ONDEMAND EXADATA AT SAS SOLUTIONS ON DEMAND
Business Objectives• Maximize Investment – multitenant
DW/BI• Consolidation of servers• Reduce overall TCO• Prepare for exponential data growth• Faster customer time-to-cost
recovery
Solution• 2012: consolidate 15+ customer
deployments to Oracle Exadata• 2013: Addition of new customers to
Oracle Exadata
Benefits
SAS Solutions OnDemand utilizes key features of Exadata: Multitenant, Agility, and Performance to consolidate, speed time to deployment and drive down cost while realizing performance improvements
Business BenefitsMultitenant Agility
• Deployed quarter racks in multiple data centers
• Utilized ZFS Storage Appliance for a backup solution
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SAS SOLUTIONS ONDEMAND CHALLENGES
Key Problems with Legacy environment:
• Low CPU utilization – typical usage <20%• Complex server farm• Under-utilized licenses• High energy cost with legacy servers• Systemic inefficiencies • Requires support and coordination from multiple internal organizations
and vendors
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SAS SOLUTIONS ONDEMAND EXADATA KEY REQUIREMENTS
Multitenant:• Consolidation of database instances to
Exadata• Utilize multiple hosted Exadata racks• Instance caging• Maintain separation of data across
customers
Agility:• Decrease deployment time• Remove dependencies on other
departments
Business Continuity:• High availability SLA’s >99%• Superior backup, restore, and recovery
• Oracle DB License Consolidation:• Consolidate under utilized licenses• Lower yearly license spend
• Performance Improvement:• Not an initial key requirement but
have recognized significant performance improvements
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SAS SOLUTIONS ONDEMAND MULTITENANT BENEFITS
Exadata X2-2 DB
Consolidation
Data Guard
Data Guard
• Production• Disaster Protection
Many Disparate Customer Systems
PROBLEMS:Typical usage <20%CostlyInefficient
BEFORE Current BENEFITS:
• High availability• Cloud control/OEM 12c• Lowered cost of license per CPU for
database• Exadata could handle the spike and meet
SLA• Optional compress data using HCC to lower
costs and no impact on performance• Backup / recovery configured once• Less data center storage space used• Lower energy consumption to host• Total cost of ownership significantly lowered
Consolidated onExadata
• Test and QA
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SAS SOLUTIONS ON DEMAND AGILITY BENEFIT
Single DBA team
HW OS provisioning Network/Firewall/VLAN configuration
Set and Deploy all FS for each DB
Manage Netbackup infra & all DB backups
IT Team
Network Team
Storage Team
Backup Team
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SAS SOLUTIONS ON DEMAND AGILITY BENEFIT
Key Recognized Benefits:• Onboarding a new database went from days to hours• OEM12c Cloud Control to manage the entire stack• The DBA team size is able to complete the entire
process• Storage, network, hardware and OS setup steps
eliminated• Dependency on corporate backup/recovery services
was reduced to DR only with the usage of ZFS• TCO decreased for hosting services
Enhanced Business
Performance:Service Levels:Improved and consistent delivery to the business
Innovation:Superior capabilities to drive high value business results
Time to Value:Reduced time to stand-up and deliver database services
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CUSTOMER EXAMPLE ONE: ANTI-MONEY LAUNDERING
CURRENTBEFORE
Customer has 8 core dedicated standalone
Customer uses 1730 GB
• Up to 45x performance increase with Exadata storage indexes
• Significant reduction in storage by utilizing Hybrid Columnar Compression on aging partitions
Customers1,2….X
Customer “x”Anti Money Laundering / Fraud
CURRENT ENVIRONMENT
1- ¼ RAC Exadata X2-2Each ¼ RAC has:2 db nodes / 12 cores per node, 192GB RAM per node.
Customer has 2 cores from each node = 4 cores
3 Storage Cells:Raw Capacity:21.6TB (HP)108TB (HC)
Customer uses 500 GB
Strategic use of partitioning and hybrid columnar compression.
Data extract selections are made faster by use of the Exadata storage indexes.
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CUSTOMER EXAMPLE TWO: MARKETING AUTOMATION
CURRENTBEFORE
Customer 2 x 6 cores of Linux
Customer uses 2850 GB
• Instant ETL updates with ZERO downtime by utilizing partitioning for background processing and the exchange partition function for promotion.
• Saved much space by eliminating indexes that are no longer required due to Exadata’s superior processing power.
Customers1,2….X
Customer “x”SAS Marketing Automation
CURRENT ENVIRONMENT
Partial - ¼ Exadata X2-2
Each ¼ has: 2 db nodes / 12 cores per node, 192GB RAM per node.
Customer uses 2 cores on each node for total of 4 cores
3 Storage Cells:Raw Capacity:21.6TB (HP)108TB (HC)
Customer uses 700GB
Used partitioning to run long ETL and analytic jobs in the background prior to daily promotion to production.
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CUSTOMER EXAMPLE THREE: FRAUD DETECTION
CURRENTBEFORE
Customer has 8 nodes of a commercial Postgres based cluster. Each node as 2x6 cores and 96 GB of RAM.
Customer uses 1800 GB per database, 2 databases in place at production level per data center
• Daily ETL runs < 10 hours vs. > 20 hours• Interface in use by 33,000 users now returns all queries in less
than 30 seconds vs. many selections timing out at 3 minutes.
Customers1,2….X
Customer “x”Anti Money Laundering / Fraud
CURRENT ENVIRONMENT
1- ¼ RAC Exadata X3-2
Each ¼ RAC has:2 db nodes / 12 cores per node, 256 GB RAM per node.
Customer has 6 cores from each node = 12 cores
3 Storage Cells:Raw Capacity:21.6TB (HP)108TB (HC)
Customer uses 600 GB per DB.
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SAS SOLUTIONS ONDEMAND PERFORMANCE IMPROVEMENT BENEFITS
• Increased performance by removing indexes and letting the Exadata Storage Engine do its work. Side benefit is more space for additional customers and databases leading to an increased ROI.
• Implemented an Information Lifecycle Management Policy to partition data where possible and to compress data utilizing Hybrid Columnar Compression based on usage and historic attributes.
• Implemented Transparent Database Encryption as a standard for all customers. • Very few other database vendors could compete against this option. • Little performance impact as the data was encrypted in the DB Nodes BUT
decrypted by hardware at the storage nodes.• Utilized Instance Caging, Database Resource Management and IO Resource
Management to guarantee a level of performance to all customer.
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THE BUSINESS CASE FOR EXADATA
DELIVERING IT & BUSINESS BENEFITS AT A LOWER COST OF OWNERSHIP
IT CostSavings
ITValue-Add
Business Benefits
Increased Revenue Retention Growth
Cost Management Direct Costs Expenses
Asset Management Workforce
Productivity
SLAs Performance
Speed Frequency Granularity
Time-to-MarketValu
e of
Qua
ntifi
ed B
enef
its
Consolidation of: Storage Servers Data Center Labor
Business benefits result from Multitenancy, Agility and improved IT performance:
Superior services and processing Superior business intelligence
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ORACLE EXADATA BENEFITS FOR SAS END USERS–
•40Gb/sec Infiniband interconnect between database and storage nodes and externally to the SAS math tier
• Database aware Exadata Storage Server allow for the offload of data intensive queries to the storage tier providing at least a ten-fold increase in query performance
Better performance
•All support is handled by one team and one vendor. No longer necessary to call out to multiple teams and try and get multiple vendors on the phone.
•We have streamlined the creation and delivery of new databases to the deployment teams, with 12c we look forward to providing faster and more flexible options.
Better operational
support•Support more SAS users with the higher performance and I/O throughput provided by Exadata
•Achieve linear scalability because of the capabilities of Exadata Storage Server architecture
•Exadata has a balanced configuration designed to support SAS database loads
Better scalability
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SAS SOLUTIONS ONDEMAND TECHNOLOGIES USED
• Centralized management of all Oracle databases with Oracle Enterprise Manager 12c.• Utilized Oracle Advanced Security Option (ASO) for Transparent Database Encryption
with unique wallets/keys for each database.• Also utilized the ASO for SSL encryption of all client connections.• Utilized the Scan Listener to hand off to dedicated local listeners on their own port for
each database.• The compute tier for the solution had access to our Exadata DMZ only over the Scan
Listener port and the dedicated local listener port.• Backups are to ZFS and utilize mainly RMAN backup sets and opportunistic data
pump exports.• Database Partitioning and Hybrid Columnar Compression is used in our data lifecycle.
management strategy, we are still testing offloading image copies to ZFS.• Utilized Oracle Database Appliance as a Tier 2 database offering.
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SAS SOLUTIONS ONDEMAND LESSONS LEARNED
• If you do not have RAC and GRID experience, then sign up for training as soon as you place your order.
• Utilize Oracle’s onboarding services for Exadata if you are a first time buyer.• Make sure you understand the performance implications between High
Performance Disks and High Capacity Disks in regards to your intended usage.
• Investigate how data is being placed onto the disk, the default ASM templates do not explicitly place any file types to the HOT area of the disk.
• If you are already a premium support customer, look into the platinum support offerings available for Oracle Engineered Systems.
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SAS SOLUTIONS ONDEMAND
FUTURE DIRECTION
• Evaluating Oracle Database 12c Multitenant• Reduced TCO through the management of many
databases as one• Lower resource utilization• Lower administration costs
• Rapid cloning for development and debugging• Tiered DBaaS offering
• Define Container Databases with different degrees of availability – Single Instance, RAC, disaster recovery with Data Guard
• Move customer’s pluggable database between tiers with ease
• Improved Information Lifecycle Management (ILM) with the use of Automatic Data Optimization
CUST 7
CUST 6
CUST 5
CUST 4
CUST 3
CUST 2
CUST 1
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SAS SOLUTIONS ONDEMAND
Questions?
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SAS SOLUTIONS ONDEMAND
CONTACT
Learn more about our services: http://www.sas.com/solutions/ondemand/index.html
Email: [email protected]: http://randywilcoxdba.wordpress.com/
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SAS EXADATA VALUE PROPOSITION
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SAS on Oracle for Big Data and Cloud Services: Insights into a Strong Partnership (CON8653)
Paul Kent, VP Big Data, SASRandy Wilcox, DBA Team Manager, SAS Solutions onDemand
Hermann Baer, Director Product Management, Oracle
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EXTRA SLIDES
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Distributed• Exalogic, BDA, OVCA• Oracle Linux
SMP (SAS 9.4)• SPARC M5-32, Solaris 11.1• Single domain test – 48 cores, 2TB RAM• SMP – In-Memory Analytic Server (LASR)
• Lift 100GB table from Exadata to LASR• -> “hp” PROCS running in multi-threaded fashion
SAS HIGH-PERFORMANCE ANALYTICS - CHOICE
Infiniband
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SAS Marketing Automation - Oracle SuperCluster Optimized Test environment at Oracle Solution Center
Oracle and SAS Institute jointly tested SAS Marketing Automation with the Oracle SPARC SuperCluster
Each of the SPARC T4-4 compute nodes were partitioned into two domains, one running Oracle Solaris 10 for SAS Marketing Automation, and the other running Oracle Solaris 11 and Oracle Database 11g
Oracle Exa Storage Cells accelerated the Database performance
Infiniband network maximized I/O throughput between nodes
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SAS Marketing Automation on Oracle SuperCluster - Comparison Results
OPN Partner and Oracle Internal and Confidential
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Field Collateral
Empowering SAS Grid Computing and SAS Marketing Automation on Oracle SuperCluster (Presentation)
Improving SAS Customer Intelligence Solution Performance with Oracle SuperCluster (Paper)
OPN Partner and Oracle Internal and Confidential