Oracle Exalytics & Big Data Update November 8, 2011 Bob Stackowiak, VP Data Systems Architecture & BI, Oracle ESG

2 The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle. Where Exalytics is mentioned, this presentation is intended to describe the features and benefits a user will experience by implementing the complete Exalytics solution, which includes both the hardware and software described herein.

3 Diverse Data Sets Transactions Information Architectures Today: Decisions based on database data Big Data: Decisions based on all your data Video and Images Machine-Generated Data Social Data Documents

4 Big Data Use Cases Today’s ChallengeNew DataWhat’s Possible Healthcare Expensive office visits Patient monitoring, EHRs Preventive care, reduced hospitalization Manufacturing In-person support Product & line sensorsAutomated diagnosis, support Location-Based Services Based on home zip code Real time location data Geo-advertising, traffic, local search Public Sector Standardized services Sensor data & smart meters Tailored services, cost reductions Retail One size fits all marketing Social media Sentiment analysis segmentation

5 Divided Solution Spectrum AcquireAnalyze Organize MapReduce Solutions DBMS (DW) DBMS (OLTP) Advanced Analytics Distributed File Systems Transaction (Key-Value) Stores ETL NoSQL Flexible Specialized Developer Centric SQL Trusted Secure Administered Data Variety “High Density” Information Density “Low Density”

6 Oracle Integrated Solution Stack AcquireAnalyze Organize Oracle Database (DW) Oracle Database (DW) Oracle Database (OLTP) Oracle Database (OLTP) In-DB Analytics “R” Mining Text Graph Spatial In-DB Analytics “R” Mining Text Graph Spatial Oracle BI EE Oracle BI EE Oracle NoSQL DB HDFS Hadoop Oracle Data Integrator OLH New products and capabilities Data Variety “High Density” Information Density “Low Density”

7 BI Adoption Productivity Better decisions Efficiency Simplicity BI Adoption Productivity Better decisions Efficiency Simplicity Trends in Business Intelligence Consumerization of BI In-Memory Embedded Intelligence Engineered Systems Market Drivers Technology Enablers

8 Oracle Engineered Solutions AcquireAnalyze Organize Oracle Database (DW) Oracle Database (DW) Oracle Database (OLTP) Oracle Database (OLTP) In-DB Analytics “R” Mining Text Graph Spatial In-DB Analytics “R” Mining Text Graph Spatial Oracle BI Oracle BI Oracle NoSQL DB HDFS Hadoop Oracle Data Integrator OLH Data Variety “High Density” Information Density “Low Density” Exadata Platforms Big Data Appliance Exalytics In-Memory Machine

9 Announcing Oracle Exalytics In-Memory Machine First Engineered System for Analytics Best Visual Analysis with No Limits Smarter Analytic Applications

10 SINGLE ENTERPRISE INFORMATION MODEL Oracle Business Intelligence & EPM DETECT ANALYZEACT MODEL SINGLE ENTERPRISE INFORMATION MODEL Sales Marketing Service Contact Center Price Loyalty Financial Services Communications Healthcare Retail Financials HR Procure & Spend Projects Supply Chain Order Mgt Logistics Scorecard Strategic Planning Financial Close Planning & Forecasting Profitability Management

11 Oracle Exalytics – Under the Hood For information purposes only, not a commitment to the development, release, and timing of any features or functionality. In-Memory Analytics Software Essbase TimesTen for Exalytics Adaptive In-Memory Tools 1 TB RAM 40 Processing Cores High Speed Networking In-Memory Analytics Hardware Oracle Business Intelligence Foundation Suite

12 Exalytics Hardware Architecture RAM Machine Optimized to Run BI Foundation Suite Memory 1 TB RAM, 1033 MHz Compute 4 Intel® Xeon® E7-4870, 40 cores total Networking 40 Gbps InfiniBand – 2 ports 10 Gbps Ethernet – 2 ports 1 Gbps Ethernet – 4 ports Storage 3.6 TB HDD Capacity For information purposes only, not a commitment to the development, release, and timing of any features or functionality.

13 In-Memory Analytics Heuristic Adaptive In- Memory Cache – Decides what gets stored in-memory – Adapts to changes in analytic workload In-Memory Databases – Parallel TimesTen Database – Parallel Essbase – Advanced Columnar Compression – In-Memory Analytic Functions 1 TB RAM TimesTen In-Memory Database for Exalytics Heuristic In-Memory Cache For information purposes only, not a commitment to the development, release, and timing of any features or functionality.

14 End-user Experience with Exalytics Speed of Thought Interactive Analysis Highly Interactive Analysis Free Form Data Exploration High Density Visualizations View Auto Suggestions Contextual Actions All on Mobile For information purposes only, not a commitment to the development, release, and timing of any features or functionality.

15 Immersive Mobile Experience with Exalytics Exalytics user experience extended to iPad All BI content instantly available to mobile users with zero extra development Speed-of-thought analysis available anywhere Fastest Time to Mobile Value. No Additional Development For information purposes only, not a commitment to the development, release, and timing of any features or functionality.

16 Oracle Exalytics Impressive Results from Early Customer Benchmarks Largest mortgage provider in Denmark, major private bond issuer in Europe Need to deliver outstanding performance for summary and transaction grain analysis 35x to 70x faster with Exadata + Exalytics Supplies automotive industry with market intelligence “PolkInsight” Need highly interactive dashboards and visualizations for global analyst community > 10x faster on average and up to 100x faster in specific cases Large oilfield services company with about ~860 rigs deployed around the world Need to drive usage of packaged BI Applications across the organization 5x shorter time to develop; 50x faster than a custom report (without tuning) Large cloud infrastructure services company Need highly interactive visualizations for large numbers of individual analyst data sets Consistent Sub-second interactivity on par with desktop tools down from ~30 secs Global consumer pre-packaged foods company Need more frequent planning and budgeting cycles for users 6x faster cycle time - 4 hours down from more than 24 hours A Global CPG Company

17 Oracle Big Data Appliance 18 Sun X4270 M2 Servers – 48 GB memory per node = 864 GB memory – 12 Intel cores per node = 216 cores – 24 TB storage per node = 432 TB storage 40 Gb/sec InfiniBand 10 Gb/sec Ethernet

18 Big Data Appliance Big Data for the Enterprise Foundation Software: – Oracle Linux – Oracle Java VM – Open-source Apache Hadoop Distribution Application Software: – Oracle NoSQL Database Enterprise Edition – New – Oracle Loader for Hadoop - New – Oracle Data Integrator Application Adapters for Hadoop - New)

19 Oracle NoSQL Database A distributed, scalable key-value database Simple Data Model Key-value pair with major+sub-key paradigm Read/insert/update/delete operations Scalability Dynamic data partitioning and distribution Optimized data access via intelligent driver High availability One or more replicas Disaster recovery through location of replicas Resilient to partition master failures No single point of failure Transparent load balancing Reads from master or replicas Driver is network topology & latency aware Elastic (Planned for Release 2) Online addition/removal of Storage Nodes Automatic data redistribution Storage Nodes Data Center A Storage Nodes Data Center B NoSQLDB Driver Application NoSQLDB Driver Application

20 Oracle NoSQL Database Differentiation Commercial Grade Software and Support General-purpose Reliable – Based on proven Berkeley DB JE HA Easy to install and configure Scalable throughput, bounded latency Simple Programming and Operational Model Simple Major + Sub key and Value data structure ACID transactions Configurable consistency & durability Easy Management Web-based console, API accessible Manages and Monitors: Topology; Load; Performance; Events; Alerts Completes Oracle large scale data storage offerings

21 Streaming Access to HDFS HDFS Datafile_part_1 Datafile_part_2 Datafile_part_m Datafile_part_n Datafile_part_x Oracle Database FUSE External Table View Or Table Function Reduce Map Query

22 Input Query Table Oracle Loader for Hadoop Load.... Partition and transform into Oracle ready format.... Oracle Loader for Hadoop

23 Oracle Data Integrator Easily integrate data from any source Expanded functionality: => Construct Hadoop jobs to transform and load data into Oracle => Leverage Oracle Loader for Hadoop and/or Hive Easily integrate data from any source Expanded functionality: => Construct Hadoop jobs to transform and load data into Oracle => Leverage Oracle Loader for Hadoop and/or Hive

24 Support for Statistical Language R Open source statistical programming language and library Oracle R: – Embedded component of the DBMS server – Enables R to run on the Exadata database nodes – Fully leverages the newest R algorithms and models contributed to the Comprehensive R Archive Network (CRAN) – Allows R to run on very large data sets resident in Oracle tables or external tables – Complements Oracle’s in-database Data Mining Statistical Patterns: R> eth.lo <- loess (ontimeSubset$ARRDELAY ~ ontimeSubset$DAYOFWEEK * ontimeSubset$DEPDELAY, span = 1/3, parametric = "C", drop.square = "C", family="symmetric"); => Broad user community and all BI tools can leverage R results => Oracle R dramatically and transparently improves performance Statistical Patterns: R> eth.lo <- loess (ontimeSubset$ARRDELAY ~ ontimeSubset$DAYOFWEEK * ontimeSubset$DEPDELAY, span = 1/3, parametric = "C", drop.square = "C", family="symmetric"); => Broad user community and all BI tools can leverage R results => Oracle R dramatically and transparently improves performance

25 All-Oracle Deployment Oracle Big Data Appliance Oracle Exadata InfiniBand AcquireOrganize Analyze & Visualize Stream Oracle Exalytics InfiniBand For information purposes only, not a commitment to the development, release, and timing of any features or functionality.

26 Big Data Technology Roadmap How to Move Forward with Big Data Phase I - FoundationPhase II - EvaluationPhase III - Moving ForwardPhase IV - Simplifying Big Data Phase VI - Complete and Integrated Oracle SolutionBespoke Open-Source Configurations Phase V - Delivering Deep Analytics

From measurement to analysis, forecasting and optimization Insights across time, functions and roles Single version of the truth Better Insights, Decisions, Actions From Scorecards to Storage Standards based Shared Metadata, Security, Manageability Most Complete, Open, Integrated Best of Breed capabilities at each layer of the stack Leverage capabilities across stack Scalable, Reliable, Manageable World Class Analytics Infrastructure © 2011 Oracle Corporation Oracle’s Extreme Intelligence Best for Business, Better for IT

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