AGILE DATA ARCHITECTURE

Agile Data Architecture 2 Fit-for-purpose solution Enables self-service data management

Project team A Project team B Primary Data Center DR Site Remote DC Software Virtual Appliance: Flexibility, Simplicity Deploys in minutes For any team in any location Installs on private, public clouds 3 3 Continents, 22 Application Teams Any HW Any Storage Cloud Ready

Data Virtualization: Performance, Consolidation FEATUREBENEFIT BLOCK MAPPING Patented, flat metadata design scales to unlimited virtual copies 10-50x storage consolidation, add parallel environments at no cost COMPRESSION Block aware compression adds 2-4x data reduction 2-4x reduction across virtual copies and backups FILTERING Intelligent filtering eliminates temporary or empty blocks DB awareness drives 10-20% greater efficiency CACHING Drives performance, consolidation: 60%+ I/O load serviced by cache Run 20 VDBs in space of one with good performance 4

Dev: R12 Data Mapping QA: R12 Data Mapping Dev: Customization Testing QA: Customization Testing 1 TB 90%+ Common, Repeated Data Oracle EBS Production 1 TB Unique block mapping Block aware filtering Efficient compression 90% reduction in EBS storage costs 5.5 TB BLOCK MAPPINGCOMPRESSIONFILTERING

Built for VDB Performance: 20 VDBs on Average Global “hot” read cache Global write log SSD flash cache On-the-fly compression, de-compression 5 sources and 35 virtual databases consolidated per Delphix server 6 CACHING

Data Orchestration: Right Data, Time, Place FEATUREBENEFIT SYNC Efficiently sync heterogeneous sources in near real time Deliver right data to right team at right time RECORD Synthesize, record all changes into a continuous TimeFlow Database continuity, superior Recover Point Objective (RPO) PLAY Fast database provisioning, refresh, rollback, data integration Reduce time from 10 days to 10 minutes, from 4 teams to 1 team MOVE Promote, demote, consolidate, and recover databases Quickly move data through application, development lifecycle stages REPLICATE Efficient replication to secondary Delphix virtual appliance High availability, disaster recovery, backup 7

Auto Sync for 10+ Heterogeneous Sources on HP-UX EMC storage on AIX NetApp storage on Windows Hitachi storage 8 on RHEL NetApp storage 10+ sources synchronize with one Delphix virtual appliance EXADATA Appliance on AIX EMC storage RAC on Solaris NetApp storage Remote Any HW Any Storage Cloud Ready Remote Cluster on Windows IBM storage SYNC

Near Real Time Log Shipping 9 Local Remote Intra-daily refreshes of virtual copies tied to trading systems 12:36:38 12:36:41 Maintain sync within seconds of last transactions Ensure access to fresh data Enable use of VDBs for HA SYNC

Sync (Reduced Load) 90% load reduction with automated DB aware, change data only sync 10 5% Read I/O 5% Process I/O5% Network Transfer Load 5% Write I/O SYNC 1x Read I/O 1x Process I/O 1x Dump I/O 1x Read I/O 1x Transfer I/O 1x Write I/O

50:1 TimeFlow (Store 50 Days in the Space of 1) 11 Quarter ending snapshots retained for 1 year Instant recovery protects against $3000 per minute ERP downtime costs TimeFlow 1 month retention, logs for 1 week 2 week retention, logs for 1 week 90 day full retention of logs and snapshots Store 50 days in the space of 1 Superior SLAs (RPO and RTO) Reduce impact on systems, networks RECORD

Refresh, Rollback 12 on HP-UX EMC storage Weekly scheduled refreshes, daily rollback for patch and upgrade test environments PLAY Aug 1, 3:36:51 Provision Current Time Refresh Jul 25, 6:42:18 Rollback / Recover On-demand access to source data Superior data management SLA’s Higher application quality

Data Integration 13 6 sources integrated for MDM initiative (50% acceleration) Aug 5, 7:28:29 Integrated Provisioning PLAY Integrated Rollback Aug 1, 11:50:33 Integrated Refresh Aug 6, 3:17:51 Decouple reliance on multiple production teams Synchronize data delivery across sources Maximize test time and improve data quality

Promote, Demote, V2P TestDev QA 14 UATProd V2P Create VDBs from VDBs V2P to restore data to physical V2P to automate UAT refresh MOVE

Consolidate, Load Balance Test 2Test 1 Test % consolidation (license reduction) of Oracle workloads MOVE XX

High Availability, DR, Backup for Delphix 16 X REPLICATE Local or Remote Delphix as primary backup and DR solution (20+ apps)

Active-Active Multicast Production Source DR Site 17 Scale out to large numbers of VDBs Enable VDB development at remote sites REPLICATE 100+ VDBs for risk application

Self Service Enterprise Management FEATUREBENEFIT POLICY ENGINE Granular, role-based control over user, group rights management Easily align with enterprise policies AUTOMATION ENGINE Example: init.ora file settings, scheduled refreshes Time, labor savings and independent data access SELF SERVICE INTERFACES Web GUI, CLI, web services API Enterprise integration (branded service portals, ticketing systems, etc.) AUDITABILITY, SECURITY Comprehensive logging and reporting, preservation of source security Adhere to internal policies and regulatory requirements 1500 developers using VDBs for ERP projects 18

Next Steps Identify candidate applications and projects for data virtualization Complete ROI workshop with Delphix Business Solutions team – For initial target applications and full environment – Access to project team and plan needed for project impact analysis Delphix trial options – Cloud based Single Delphix virtual appliance scope – Standard onsite POC Multiple Delphix virtual appliance scope – Guaranteed deployment Production grade deployment, 90 day guarantee – Application Assessment Service Production grade deployment, services led adoption 19 POTENTIAL OPPORTUNITIES ERP rollouts or projects Agile development Application DB upgrades Platform / DC migrations Data warehousing / MDM Exadata rollout Private cloud build-out Secure test data

Thank You

Performance Optimization Measures Overall labor and process gains Global “Hot” Read Cache On-the-fly Compression, De-compression Virtualization overhead offset by: 21 w.o. Delphix w. Delphix I/O processing time Provisioning and refreshes – actual labor Provisioning and refreshes - scheduling and process overhead

Connectivity Protocols 22 Source Server Target Servers SSH JDBC SSH JDBC HTTP NFS Compressed Data SSH FC, iSCSI

System Requirements Delphix Server – Virtualization Platform: VMware (ESX Server 3.x, vSphere 4.x, vSphere 5.x) – VM Guest Container Profile: Solaris bit – Virtual CPUs: 8 vCPUs – Memory: 16 GB (minimum), add more if indicated Source and Target Servers – Oracle , Oracle 10g R2, Oracle 11g R1, or Oracle 11g R2 – Solaris, RedHat, OEL, SUSE, AIX, HPUX 23