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Business and Technology Status 2007

Global economy is more dependent on ITthan ever before

Information management is THEmajor mission of theenterprise

Organizations are being pushed to ADAPTquickly tochange

Economic, Technologic, Regulatory

At least two-thirds of all IT spending is just to sustain the business,

not to change or transform the business.

- Gartner Group

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Growing Data Volumes

Source: 2005 TopTen Program, November 2005 Winter Corporation, Waltham, MA, USA

020

406080

100

1998 1999 2000 2001 2002 2003 2004 2005

Database

Size(TB)

Size of the largestdata warehouse in

Winter Corp Survey245% increase

from 2003to 2005!

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Uptake (TAR Analysis)

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Mar.01

Haz.01

Eyl.01

Ara.01

Mar.02

Haz.02

Eyl.02

Ara.02

Mar.03

Haz.03

Eyl.03

Ara.03

Mar.04

Haz.04

Eyl.04

Ara.04

Mar.05

Haz.05

Eyl.05

Ara.05

Mar.06

Haz.06

Eyl.06

Ara.06

Mar.07

Oracle Database 10g Oracle9i Oracle8i Oracle8 and Earlier

Source: TAR Analysis (April 2007)

59%

36%

5%

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Infrastructure Complexity

Understanding the Costs

Number of things costs = N

Number of connected things = (2N)

Number of KINDS of things = N^N

Complexity Slows Change

More failure points

Uneven levels of process Maturity

Functionality+Virtualization=Agility

Functionality enables agility

Virtualization masks functional complexity

Oracle Grid is Enabling Enterprise Agility by AttackingComplexity

1 2 3 4 5 6 7 8

# of Things

# of Connections

# of Kinds

0

10

20

30

40

50

60

70

90

80

0

10

20

30

40

50

60

70

90

80

Complexity Cost Curve

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The 11g Big Message

11g Lowers overall costs while increasing business

and IT agility!

Simplifies your information infrastructure!

Enables change to happen while maintaining stability!

Takes management and diagnostic automation to the next

level! Freeing key personal for higher value tasks!

Provides the least expensive, most scalable, secure and

highly available rapid application development environment!

Traditional Performance Dimensions of Scalability andAvailability Are Now Table Stakes. Agility is the X-Factor

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Defining Value Innovation Lowers the cost while increasing Agility

Simpler (automates/obfuscates complex tasks) Cheaper (lower TCO via improved sustainability)

More Convenient to Use

Most likely already own it

Solid skills base foundation

Single vendor to manage

Simplifies infrastructure landscape

Fundamentally changes how a task or process has been done in

the past

Value innovation fundamentally changes how oneevaluates a product category

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Oracle Database Innovation

Audit VaultDatabase Vault

Grid ComputingSelf Managing Database

XML Database

Oracle Data GuardReal Application Clusters

Flashback QueryVirtual Private Database

Built in Java VM

Partitioning SupportBuilt in Messaging

Object Relational SupportMultimedia Support

Data Warehousing Optimizations

Parallel OperationsDistributed SQL & Transaction SupportCluster and MPP Support

Multi-version Read ConsistencyClient/Server Support

Platform PortabilityCommercial SQL Implementation

1977 2007

30 years ofsustainedinnovation

continuing withOracle Database 11g

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Bucking Conventional Wisdom

By The Book Oracle

Platform dependent Portable C code base

Read & write locks Multi-version concurrency

Combined undo/redo log Undo stored in the database

Static SQL compilation Just-in-time SQL compilation

Shared nothing clustersShared disk/shared cache

clusters

Parallelism tied to partitions Parallelism orthogonal topartitions

Store some of your data Store all your data

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Database 1.0 Database 2.0Users In-house Everyone

Applications Vertical Silos Horizontal Services

Data Chars, Numbers, Dates All Your Data

Hardware SMP/Mainframe Network/Virtualized

Storage Expensive, Siloed Inexpensive, Shared

Scalability High Cost Scale Up Low Cost Scale Out

WorkloadConsolidation

Specialized-Separate

DW-OLTP Slow TTV

Converging Workloads,

Fast TTV

HA Difficult, Expensive Easy, Low Cost

Management Monitor and Manage Alert and Automate

Pricing CPU or User Socket or Site

Where Weve Been, Where Were Going

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Top 11g new features

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Physical Standby with Real-Time Query

Physical StandbyDatabase

Primary

Database

Real-timeQueries

Continuous Redo

Shipment and Apply

Concurrent

Real-Time

Query

Read-only queries on physical standby concurrent with redo apply

Supports RAC on primary / standby

Queries see transactionally consistent results

Immediate appeal to the many users of physical standby

DR with real time query is unique in the industryno idle resources

Handles all data types, but not as flexible as logical standby

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Set up Test Environments usingSnapshot Standbys

Convert Physical Standby to SnapshotStandby and open for writes by testingapplications

ALTER DATABASE CONVERT TOSNAPSHOT STANDBY;

Discard testing writes and catch-up toprimary by applying logs

ALTER DATABASE CONVERT TOPHYSICAL STANDBY;

Preserves zero data loss But no real time query or fast

failover

Similar to storage snapshots, but: Provides DR at the same time

Single copy of storage

Physical StandbyApply Logs

Snapshot StandbyPerform Testing

OpenDatabase

Back outChanges

Continuous Redo Shipping

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Database Replay

Capture Workload in Production

Capture production workload with actual load & concurrency

Move the captured workload to test system

Replay Workload in Test

Make the desired changes in test system Replay workload with production load & concurrency

Analyze & Report

Errors

Data divergence

Performance divergence

Use ADDM, AWR for further performance analysis

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Pre-Change Production System

ClientClient

App ServerApp ServerApp Server

Client

Backup

CapturedWorkloadProcess Process Process

Capture Workload

ChangesUnsupported

ChangesSupported

Database Upgrades, Patches

Schema, Parameters

RAC nodes, Interconnect

OS Platforms, OS Upgrades

CPU, Memory

Storage

Etc.

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Post-Change Test System

ReplayDriver

App ServerApp ServerApp Server

Process Process Process Process Process Process

Can use Snapshot Standby astest system

ReplayDriver

ClientClient

Client

Pre-Change Production System

ProcessedCapturedWorkload

Backup

Capture Workload

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SQL Performance Analyzer

Focus on impact of change on SQL query workload

Capture SQL in Production

Automatically capture SQL workload over a specified period

Capture SQL text, plans, bind variables, execution statistics

Can capture 10.2 SQL workload

Move captured SQL workload to test system

Replay SQL in Test Replay SQL in pre and post-change configurations

Compare and analyze performance

For regressed SQL, use SQL Tuning Advisor (10g) to improveperformance with SQL Profiles

Changes supported Major & minor database releases, patches, parameters, schema,

optimizer statistics, tuning recommendations

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SQL Performance Analyzer

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SQL Plan Managementcontrolled plan evolution

Business Requirement Data is changing over time

Statistics and execution plans become suboptimal

Statistics have to be updated

Possibly unpredictable changes of execution plans

Today you have freeze critical plans or statistics

Solution

Optimizer automatically manages SQL Plan Baselines

Only known and verified plans are used

Plan changes are automatically verified in maintenance window Only comparable or better plans are used going forward

Can pre-seed critical SQL with baselines from SQL Replay

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Flashback Data Archive

Automatically stores all

changes to selected

tables

Archive cannot be modified

View table as of any time

Uses:

Change Tracking

ILM

Long term history - years Auditing

Compliance

User

Tablespaces

Flashback

Data Archive

Archive

Tables

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EM Support Workbench Overview

Wizard that guides you through the process of handling problems

You can perform the following tasks with the Support Workbench:

View details on problems and incidents

Run health checks

Generate additional diagnostic data

Run advisors to help resolve problems

Create and track service requests through MetaLink

Generate incident packages

Close problems once resolved

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Support Workbench

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Incident Packaging Service

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Manageability Evolution

Auto-Tuning

Advisory

Instrumentation

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Manageability in 11g?

More database administration automation

More intelligent advisors to simplify administration

Fault diagnostic automation

Enhancements to existing features

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0%

25%

50%

75%

100%

Time Steps

9i

10g

11g

Manageability Comparison of OracleDatabase 9i, 10g, and 11g

Summary

Oracle 9i vs. 10g

44% less time

47% fewer steps

Oracle 10g vs. 11g

26% less time

31% fewer steps

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DB Management Pack Enhancements

Diagnostic Pack

ADDM for RAC

AWR Baselines

Transportable AWR

Tuning Pack

Automatic SQL Tuning Advisor

Partition Advisor SQL Monitoring

SPM Automatic Plan Evolution

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Oracle 9icompresses data only during bulkload; useful for DW and ILM

Oracle 11gcompresses w/ inserts, updates

Typical compression ratio of2x to 3x Database directly reads compressed data

eliminating decompression overhead

Strategy: compress dbs 10 largest tables

Shrink table data by 50%, increase CPU by 5% Savings cascade to all db copies: test, dev,

standby, mirrors, archiving, backup, etc.

Data Compressionfor All Applications

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Oracle SecureFilesHigh-Performance Large Objects

High-performance transactional

access to large object data

documents, medical, CAD, imaging

low-latency, high throughput, concurrent access

space-optimized storage

Protect your valuable data .. in the db!

transactions

transparent encryption

compression and de-duplication

database-quality security, reliability, and scalability

Better security, single view and management of data

Superset of LOB interfaces easy migration

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0

20

40

60

80

100

120

0,1 1 10 100

LOBs

Linux Files

SecureFiles

Innovative technology for high

performance large object data

Smart buffering, write gathering,

intelligent lockingFast bulk data transfers, LOB

prefetch

Much faster than LOBs with

more capabilities

File system-like performance

with database functionality!File Size (MB)

SecureFiles Breaks thePerformance Barrier!

File Read Performance(MB/second)

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Oracle Partitioning10 years of innovation

Core functionality

Oracle8 Range partitions, global range index

Oracle8i Hash and composite range-hash partitioning

Oracle9i List partitioning

Oracle9i R2 Composite range-list partitioningOracle 10g Global hash indexes

Oracle 10gR2 1M partitions per table

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Oracle Partitioning10 years of innovation

Core functionality

Oracle8 Range partitions, global range index

Oracle8i Hash and composite range-hash partitioning

Oracle9i List partitioning

Oracle9i R2 Composite range-list partitioningOracle 10g Global hash indexes

Oracle 10gR2 1M partitions per table

Partitioning by reference

Virtual column partitioningNew composite partitioning:range-range, list-range,list-list, list-hash

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New PartitioningFeatures

New composite partitioning schemes

Partition (or index) on virtual (computed) columns

Partition advisor Automatic range partition creation

Partition by REFERENCE (primary key of parent)

Range List Hash

Range 11g 9i 8i

List 11g 11g 11g