<Insert Picture Here>

The Future of Database TechnologyMark TownsendVice President, Database Product Management

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 remain at the sole discretion of Oracle.

Agenda

• Database Update• Information Appliance Initiative• Information Lifecycle Management• Security and Compliance• What’s Next – Change Assurance

Uptake (TAR Analysis)

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Mar-01

Jun-01

Sep-01

Dec-01

Mar-02

Jun-02

Sep-02

Dec-02

Mar-03

Jun-03

Sep-03

Dec-03

Mar-04

Jun-04

Sep-04

Dec-04

Mar-05

Jun-05

Sep-05

Dec-05

Mar-06

Jun-06

Sep-06

Oracle Database 10g Oracle9i Oracle8i Oracle8 and Earlier

Source: TAR Analysis (October 2006)

48%

44%

7%

Oracle’s 10g Grid Strategy

• Enable Grid Computing• Using Low Cost Servers and Storage

• With Intelligent Software• Database Servers and Fusion Middleware

• And Automated Management Tools• Reducing Errors and Lowering Costs

• To Modernize I/T Infrastructure • Highest QoS and Flexibility, Lower Cost

Oracle 10g Grid

Real Application

Clusters

Automatic Storage

Management

Application Server

Clusters

Grid Control

ExtractServers

1. Extract from source systems

2. Integrate, transform, and denormalize

3. Query and analyze

4. Data access and publishing

ETLManager

Amazon’s RAC is so cost-effective they run 2 concurrently and still save money.

2nd pair of identical RAC clusters means ‘no need for backup’ for active online data

8 nodes x 4CPUs12 TB+ STAGE

Amazon Data Warehouse Modular Architecture using Oracle Database 10g RAC and ASM on Linux

16nodes x 4CPUs65 TB QUERY

Emerging Trends for DW

• Data warehouses have become ubiquitous parts of the IT infrastructure

• Problem: Data warehouse system configurations are easy to get wrong

• Goal: Make it easy to deliver• A scalable system• With reduced implementation times• Eliminated deployment risks• Lower cost

DW Configuration Problem: I/O

Database CPUs Memory Actuators LUNs Disks Raid

Database CPUs Memory Actuators LUNs Disks Raid

An unbalanced configuration

A balanced configuration

100%Possible

Efficiency

100%Possible

Efficiency

100%AchievedEfficiency

< 50%AchievedEfficiency

Oracle Information Appliance Initiative

• Appliance Foundations• Documented best-practice

configurations for data warehousing

• For customers requiring flexibility and choice

• Benefits:• High performance• Simple to scale: modular

building blocks• Built on Oracle database

and standard hardware• Available today with HP,

IBM, and EMC

• Information Appliances• Scalable systems pre-installed and

pre-configured: ready to run out-of-the-box

• For customers looking for the simplest, fastest solutions

• Benefits:• High performance• Simple to buy• Fast to implement• Built on Oracle database and

standard hardware• Available today with Panta Systems• Further announcements in coming

months

Information Appliance – An ExamplePanta 2700 Data Warehouse Appliance

• 8 Blade RAC cluster• 4 AMD 2.2Ghz dual core

processors per blade• 8 GB memory per processor• Total of 64 cores and 256 GB

memory• 96 TB database storage

• 532 disk drives• 250GB SATA 7200 RPM / drive

• 2 Silverstorm 9024 InfinibandSwitches

• Up to 12 GB / sec I/O throughput observed in database processing

• Oracle Database 10g with RAC and Partitioning

• Red Hat Enterprise Linux Advanced Server 4 Update 3

Information Appliance:New 1TB TPC-H Announced

• The system: • Oracle Database 10g Release 2 with Real Application Clusters

and Partitioning• 8-node PANTAmatrix (aka Panta 2700 Data Warehouse

Appliance)• Red Hat Enterprise Linux Advanced Server 4 Update 3

• The results: • Performance: 59,353.9 QphH@1000GB • Price-performance: $24.94 $/QphH@1000GB

• Compelling combination of performance and price-performance: • #2 in absolute performance• #2 in price-performance

As of October 23, 2006: PANTA Systems PANTAmatrix, 59,353.9QphH@1000GB, $24.94/QphH@1000GB, available 4/15/07.

Source: Transaction Processing Performance Council (TPC), www.tpc.org

Information Appliance:Significant Cost Savings

• An Oracle-based appliance delivers:• High performance out-of-the-

box• Re-usable, general-purpose

software and hardware• Leading support for the full

breadth of applications• Enterprise-level security and

availability• Leverages existing resources

and expertise• Lower costs

$2,402,000

$842,000

$1,560,000

224 spindles (150GB each)

2

8250z 1)

532 spindles (250GB each)Disks

$2,171,569

$1,019,140

$1,152,429

3

PANTA 2700

# Racks

Total 3YR Cost of Ownership

HW/SW Costs

3 Yr Maintenance

1) Netezza, 2006 Whitepaper “How the Simplicity of the NPS Data Warehouse Appliance Lowers TCO”

Business Requirement – ILM (Information Lifecycle Management)

• Reduce cost to retain data• Vast amounts of data are retained by enterprises for business

and regulatory reasons• Need to optimize the cost of retaining data in the database to

avoid skyrocketing costs

Active Data Less Active Data Historical Data

Typical Database Implementation without ILM

DIGITAL DATA STORAGE

High PerformanceStorage Tier

Active Less Active Historical Archive

Data Lifecycle

TapeArchive

Storage Sample Device Costs

Low End

High End

max$/GBmin $/GBStorage Tier Vendor

$28.80$22.80IBM DS8300 73GB, <6TB

$23.90$18.90HP XP128 73GB, < 6TB

$7.50

$8.90

$10.40

$34.10

$5.90IBM DS4300 146GB, <4TB

$7.00HP EVA 3000 146GB, <4TB

$8.20EMC CX500 146GB, <4TB

$26.90EMC DMX 1000 73GB, <6TB

• Prices in high end range typically represent a system configured for performance• Prices in the low end range typically represent a system configured for capacity

$29.00

$7.00

Solution: Match Storage to Lifecycle Optimize Cost

High PerformanceStorage Tier

Low CostStorage Tier

Online ArchiveStorage Tier

Active Less Active Historical Offline

Archive

Data Lifecycle

DIGITAL DATA STORAGE

Offline Archive

Storage

The Oracle Database with Partitioning is Ideal for implementing ILM

• Understands Business Data• Hardware Independent• Application Transparent• Fine Grained – Partitioning• Customizable• Central Point of Control• Low Cost – Use ASM to

manage multiple storage tiersActive

LessActive

Historical

Database+ Partitioning

ILM Assistant

Database Features for ILM

Oracle Database 10g• Partition, Table Level

Compression• Range, List and Hash

Partitioning• Composite Partitioning

• Range List, Range Hash

Oracle Database 11g adds• Enhanced Table, Partition, LOB

Compression • New Interval, Ref and Virtual

Column Partitioning• New Composite Partitioning

• Range Range, List Range, List List, List Hash

What a year it has been –New Product Releases• Jan’06: Oracle Application Express• Feb’06: Oracle Database Express Edition• Mar’06: Oracle SQL Developer

Secure Enterprise Search• Apr’06: Oracle Secure Backup• May’06 Oracle Warehouse Builder• Jul’06 Oracle Developer Tools for .NET• Aug’06 Oracle Content Database

Oracle Records DatabaseOracle Database Vault

Regulatory Compliance• SOX, Basel II, HIPAA, J-SOX, GLB, Privacy laws• Adequate IT controls• Separation of Duty• Proof of compliance• Risk assessment and monitoring

• 80% of threats come from insiders• 65% of internal threats are undetected• 50% customers looking at monitoring insider/DBA threats

Insider Threats and Theft

Drivers for Compliance & Security

Database Security and Compliance Products

AdvancedAdvancedSecuritySecurity

LabelLabelSecuritySecurity

EncryptedEncryptedDataData

DataDataClassificationClassification

Database Security and Compliance Products

AdvancedAdvancedSecuritySecurity

LabelLabelSecuritySecurity

DatabaseDatabaseVaultVault

MultiMulti--factorfactorDBA ControlsDBA Controls

EncryptedEncryptedDataData

DataDataClassificationClassification

SecureSecureBackupBackup

EncryptedEncryptedData on TapeData on Tape

SecureSecureSearchSearch

AuthorizedAuthorizedSearchSearch

AuditAuditVaultVault

Monitor, Alert,Monitor, Alert,ConsolidateConsolidate

Beta

Database Vault and Audit Vault Demonstration

What is the next big challenge ?

<Insert Picture Here>

“The art of progress is to preserve order amid change and to preserve

change amid order.”

Alfred North Whitehead:Principia Mathematica

Oracle Database 11g will focus on helping you preserve order amid change

New Change Assurance Capabilities in Oracle Database 11g

Capture &Replay

Workload

Set Up TestEnvironments

Detect &Tune

PerformanceChanges

PackageIncidents

forSupport

OnlineHot

Patching

Workload Capture and Replay -Database Replay

• Database Capture• Records DB production

workload including critical concurrency characteristics

• Database Replay• Replays workload with

actual timing• Analysis & Reporting

• Error reporting• Data divergence • Performance divergence• ADDM for further

performance analysis

Rec

Analysis & Reporting

Record & Replay

Beta

Workload Capture and Replay –SQL Replay

• Focus on impacts on SQL query workload• Fine-grain performance analysis on individual SQL

• Captures SQL Workload in Production• Captures SQL text, plans, bind variables, execution statistics• Over specified period• Can capture Oracle Database 10g Release 2 SQL workload

• Replays SQL Workload in Test• Test executes SQL on test system• Identifies SQL with different plans and SQL with slower

performance• For regressed SQL, use SQL Tuning Advisor (10g) to tune• Produces analysis & reports

Beta

Test Database

Production Database Redo

Shipment and Apply

Oracle Confidential

Works with Standby Databases

CAPTURERec REPLAY

Beta

Set up Test Environments using Snapshot Standbys

• Convert Physical Standby to Snapshot Standby and open for writes by testing applications

• ALTER DATABASE CONVERT TO SNAPSHOT STANDBY;

• Discard testing writes and catch-up to primary by applying logs

• ALTER DATABASE CONVERT TO PHYSICAL STANDBY;

• Preserves zero data loss • Can Replay Workload against

Physical Standby Apply Logs

Snapshot Standby Perform Testing

Open Database

Back out Changes

Beta

Rolling Database Upgrades Using Transient Logical Standby

• Logical standby allows rolling upgrades but has data type restrictions

• Temporarily convert physical standby to logical to perform a rolling upgrade• Data type restrictions are limited to short

upgrade window

• No need for separate logical standby for upgrade

Physical

Logical

Upgrade

PhysicalAlso possible in 10.2 with more manual steps

SQL ReplayEvaluate Impact of Database Change on SQL Performance

Compare Performance

Pre-Change Environment

Replay Production SQL and Gather Stats

Make Change

Post-Change Environment

Replay SQL

Tune SQL

Tuned Environment

SQL Tuning AdvisorReplay SQL

SQL Replay Demonstration Beta

Online Table & Index Redefinition• All index changes can be done online

• Create new index, move index, defragment index• Tables can be Reorganized & Redefined online

• Table contents are copied to a new table• Defragments and allows changing location, table type, partitioning

• Contents can be transformed as they are copied• Can change columns, types, sizes - specified using SQL “Select”

Source Table

Update Tracking

Transform CopyTable

TransformUpdates

GUI interface to make it

Simple

Result Table

Continuous Queries & Updates

Store Updates

Online Application Upgrade

• Large, mission critical applications are often unavailable for tens of hours while an upgrade is installed

• Oracle Database 11g introduces revolutionary new capabilities that allow online application upgrade with continuous availability of the application

• The pre-upgrade application and the post-upgrade application can be used at the same time

• Each end-user session is rolled over on its own schedule

Beta

Online Application Upgrade Demo

How do we do it?

• Oracle Database 11g brings the Edition, the Editioning View, and the CrossEdition Trigger

• Code changes are installed in the privacy of a new edition.

• Data changes are made safely by writing only to new columns or new tables not seen by the old Edition

• An Editioning View exposes a different projection of a table into each edition to allow each to see just its own columns

• A CrossEdition trigger propagates data changes made by the old edition into the new edition’s columns, or (in hot-rollover) vice-versa

Sometimes you still need to log a TAR

### This is a critical production system ### = YES

ACTION PLAN============1. Upload trace files from both nodes.2. Any trace file created on the background_dump_dest

since the time of the problem.3. Hanganalyze trace and system state dump from

the instance that is running….

The customer :XYZ : has uploaded the following file via MetaLink: ….

The customer : XYZ : has uploaded the following file via MetaLink: ….

….

ACTION PLAN============1. I could not find between the trace files lmon trace,

smon, pmon etc. Please upoload any trace file created on the background directory from any of the nodes today.

….

The customer :XYZ : has uploaded the following file viaMetaLink: ….

The customer : XYZ : has uploaded the following file viaMetaLink: ….

….ACTION PLAN============1. Please upload the lmon,lms,lck,lmd traces for RAC

and all trace files for all bg process2. Please upload OS logs and sun Cluster dlm logsThe customer :XYZ : has uploaded the following file via

MetaLink: ….The customer : XYZ : has uploaded the following file via

MetaLink: ….

….

CCR Collector

Automatic Diagnostic Repository

Automatic Diagnostic Workflow -Reduce Time to Problem Resolution

Duplicate Bug?

Yes

EM Support Workbench:Apply Patch or WorkaroundGuided Repair

No

EM Support Workbench:Package Incident information

including CCR infoGuided Repair

Incident Packaging ServiceFirst-failure Capture

Critical

Error

Alert DBATargeted assessmentsAssisted SR Filing

Auto Bug Matching (post 11gR1)

1 2 3

45

Oracle Confidential

Beta

Support for Online Hot Patching

• Oracle already supports rolling patches between nodes in a cluster

• The next major release adds online patching of a running Oracle executable (single instance or cluster) with no downtime• Integrated with OPatch• Many one-off patches can be

hot patched• Great for diagnostic patches

Beta

Other Oracle Database 11g Highlights

• High Availability• Flashback Archive• Flashback Transaction

• Performance and Scalability• RAC Scalability Enhancements• Query Result Cache• Partition Advisor• I/O Resource Management

• Security• Tablespace and LOB

Encryption• Business Intelligence

• Next generation OLAP• Supermodels for Data Mining

• Manageability andDiagnosability

• Support Workbench• SQL Test Case Builder• ADDM for RAC• Automatic Health Monitoring

• Content Management Infrastructure

• Binary XML storage• Enhanced XML indexing• LOB’s as fast as filesystems• DICOM Medical Imaging

Support• Storage & Query of Semantic

Content

Discussion Points

• XML Publisher• Fusion Security• R2 focus – Plug and Play Clustering

The preceding 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 remain at the sole discretion of Oracle.