01 Sun Oracle Exadata V2 Technical Overview

8/12/2019 01 Sun Oracle Exadata V2 Technical Overview

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Sun Oracle Exadata and Database Machine Overview

Copyright 2009, Oracle Corporation and/or its affiliates


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Copyright 2009, Oracle Corporation and/or its affiliates 2

The Architecture of the Future

Massively Parallel Grid

Best for Data Warehousing

Best for OLTP

Best for Consolidation


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Database Machine Success

Database Machine is succeeding in all geographies andindustries against every competitor


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The Oracle Database Machine is an ideal cost-effectiveplatform to meet our speed and scalability needs.

Ketan Parekh, Manager Database Systems

After carefully testing several data warehouse platforms, wechose the Oracle Database Machine. Oracle Exadata was able tospeed up one of our critical processes from days to minutes..

Brian Camp, Sr. VP of Infrastructure Services

A query that used to take 24 hours to complete now runs inless than 30 minutes. The Oracle Database Machine beatscompeting solutions onbandwidth, load rate, disk capacity,and transparency.

Christian Maar, CIO

Database Machine Success


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Agenda

Overview

Exadata Based Product Offerings

Exadata Architecture and Features

Best Data Warehousing Machine Best OLTP Machine

Best Consolidation Machine


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The ProductsExadata Storage Server & Database Machine

Exadata Storage Server

Storage Product Optimized for OracleDatabase

Extreme I/O and SQL Processingperformance

Combination of hardware and

software

Exadata Storage Server Software

Sun Oracle Database Machine

Pre-Configured High Performance

Balanced performanceconfiguration

Takes the guess work out ofbuilding an Oracle deployment

Exadata Storage Server Software

Oracle Database 11.2


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Business Value of Exadata

Extreme Performance: Dramatic performanceimprovements (10-100X) for your data warehouses.Dramatic performance improvements (20X) for OLTPapplications

Linear Scalability: Performance scales linearly with

increase in data volumes. Enterprise Ready: Get up and running quickly with a

complete system containing all the required hardware andsoftware. Single enterprise level support for all hardwareand software from Oracle.

Standard: Works transparently with existing applications.Manage your databases and applications the same wayyou do today.



Storage Bottlenecks

Today, database performance is limited by storage

Storage systems limit data bandwidth from storage to servers

Storage Array internal bottlenecks

SAN bottlenecks

Random I/O bottlenecks due to physical disk speeds Data Bandwidth limits severely restrict performance for data

warehousing

Random I/O bottlenecks limit performance of OLTP applications



Exadata Smart StorageBreaks Data Bandwidth and Random I/O Bottleneck

Oracle addresses data bandwidth bottleneck 3ways

Massively parallel storage gridof high performanceExadata storage servers (cells).

Data bandwidth scales with data volume

Data intensive processingruns in Exadata storage. Queries run in storage as data streams from disk,

offloading database server CPUs

Columnar compression reduces data volume up to 10x

Exadata Hybrid Columnar Compression provides10x lower cost, 10x higher performance

Oracle solves random I/O bottlenecks using ExadataSmart Flash Cache

Increase random I/Os by factor of 20X

Exadata Storage Cells



Exadata Based Product Offerings


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Scale Performance and Capacity

Scalable Scales to 8 rack database machine

by just adding wires

More with externalInfiniBand switches

Scales to hundreds of storage servers

Multi-petabyte databases

Redundant and Fault

Tolerant

Failure of any componentis tolerated

Data is mirrored acrossstorage servers


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Drastically Simplified Deployments

Database Machine eliminates thecomplexity of deploying databasesystems

Months of configuration, troubleshooting, tuning

Database Machine is ready on dayone

Pre-built, tested, standard, supportable configuration

Runs existing applications unchanged

Extreme performance out of the boxMonths toDays


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Sun Exadata Storage Server Hardware

Building block of massively parallel Exadata Storage Grid

Up to 1.5 GB/sec raw data bandwidth per cell

Up to 75,000 IOPS with Flash Sun Fire X4275 Server

2 Quad-Core Intel Xeon E5540 Processors

24GB RAM

Dual-port 4X QDR (40Gb/s) InfiniBand card

Disk Options

12 x 600 GB SAS disks (7.2 TB total) 12 x 2TB SATA disks (24 TB total)

4 x 96 GB Sun Flash PCIe Cards (384 GB total)

Software pre-installed

Oracle Exadata Storage Server Software

Oracle Enterprise Linux

Drivers, Utilities

Single Point of Support from Oracle

3 year, 24 x 7, 4 Hr On-site response

Sun Exadata Storage

Server Hardware

Hardware by

Software by


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Sun Oracle Database Machine Full Rack

Pre-Configured for Extreme Performance

8 Sun FireX4170 Oracle Database servers

14 Exadata Storage Servers (All SAS or allSATA)

3 Sun Datacenter InfiniBand Switch 36

36-port Managed QDR (40Gb/s) switch

1 Admin Cisco Ethernet switch Keyboard, Video, Mouse (KVM) hardware

Redundant Power Distributions Units (PDUs)



Add more racks for additional scalability


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36-port Managed QDR (40Gb/s) switch

1 Admin Cisco Ethernet switch Keyboard, Video, Mouse (KVM) hardware

Redundant PDUs



Can Upgrade to a Full Rack

Sun Oracle Database Machine Half Rack



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36-port Managed QDR (40Gb/s)

InfiniBand switch 1 Admin Cisco Ethernet switch

Keyboard, Video, Mouse (KVM) hardware

Redundant PDUs



Can Upgrade to an Half Rack

Sun Oracle Database Machine Quarter Rack



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Sun Oracle Database Machine Basic SystemEntry Level non-HA Configuration

1 Sun FireX4170 Oracle Database servers 1 Exadata Storage Servers (All SAS or all

SATA)


36-port Managed QDR (40Gb/s)

InfiniBand switch InfiniBand Cables

Installed in Customer supplied Rack

Customer supplied Ethernet and KVMInfrastructure




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Exadata Product Capacity

Single Server Quarter Rack Half Rack Full Rack

Raw Disk1SAS 7.2 TB 21 TB 50 TB 100 TB

SATA 24 TB 72 TB 168 TB 336 TB

Raw Flash1 384 GB 1.1 TB 2.6 TB 5.3 TB

User Data2(assuming nocompression)

SAS 2 TB 6 TB 14 TB 28 TBSATA 7 TB 21 TB 50 TB 100 TB

1Raw capacity calculated using 1 GB = 1000 x 1000 x 1000 bytes and 1 TB = 1000 x 1000 x 1000 x 1000 bytes.

2 - User Data: Actual space for end-user data, computed after single mirroring (ASM normal redundancy) and afterallowing space for database structures such as temp, logs, undo, and indexes. Actual user data capacity varies by

application. User Data capacity calculated using 1 TB = 1024 * 1024 * 1024 * 1024 bytes.


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Exadata Architecture and Features


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Exadata Configuration

Each Exadata Cell is a self-contained server which houses diskstorage and runs the Exadata software

Oracle Databases are deployed across multiple Exadata Cells

Oracle Database enhanced to work in cooperation with ExadataStorage Server

No practical limit to number of Cells that can be in the grid

Exadata Cell

InfiniBand Switch/Network

Single-Instance

Database

RAC

Database

Exadata Cell Exadata Cell


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Exadata Architecture

DB Server

DB InstanceDBRM

ASM

Single-Instance

Database

RAC

DatabaseDB Server

DB InstanceDBRM

ASM

DB Server

DB InstanceDBRM

ASM

OELCELLSRV MS

RS

IORM

iDB Protocol over

Inf iniBand w ith

Path Failover


CellControl

CLI

EnterpriseManager

OELCELLSRV MS

RS

IORM

OELCELLSRV MS

RS

IORM

Exadata Cell

Exadata Cell

Exadata Cell


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Exadata Software Features

Exadata Smart Scans 10X or greater reduction in data sent to database servers

Exadata Storage Indexes Eliminate unnecessary I/Os to disk

Hybrid Columnar Compression (HCC) Efficient compression increases effective storage capacity and increases

user data scan bandwidths by a factor of 10X

Exadata Smart Flash Cache Breaks random I/O bottleneck by increasing IOPs by 20X

Doubles user data scan bandwidths

I/O Resource Manager (IORM) Enables storage grid by prioritizing I/Os to ensure predictable performance

Inter-leaved Grid Disks Enables storage grid that allows multiple applications to place frequently

accessed data on faster portions of the disk


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Exadata Smart Scan

Exadata cells implement scan offload to greatlyreduce the data sent to database servers

Row filtering based on where predicate

Column filtering

Join filtering

Incremental backup filtering Scans on encrypted data

Data Mining model scoring

10x data reductionis common

Completely application transparent

Even if cell or disk fails during a query

11.2

11.2


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Traditional Scan Processing Smart Scan Example:

Telco wants to identifycustomers that spend

more than $200 on asingle phone call

The information aboutthese premium customersoccupies 2MB in a 1terabyte table

With traditional storage, alldatabase intelligence residesin the database hosts

Very large percentage of datareturned from storage isdiscarded by database

servers Discarded data consumesvaluable resources, andimpacts the performance ofother workloads

I/Os Executed:

1 terabyte of data

returned to hosts

DB Host reduces

terabyte of data to 1000

customer names that

are returned to client

Rows Returned

SELECT

customer_name

FROM calls

WHERE amount >

200;

Table

Extents

Identified

I/Os Issued


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Exadata Smart Scan Processing

Only the relevant columns

customer_nameand required rows

where amount>200

are are returned to hosts

CPU consumed by predicate

evaluation is offloaded toExadata

Moving scan processing off thedatabase host frees host CPUcycles and eliminates massive

amounts of unproductivemessaging Returns the needle, not the

entire hay stack

2MB of data

returned to server

Rows Returned

Smart Scan

Constructed And

Sent To Cells

Smart Scan

identifies rows and

columns within

terabyte table that

match request

Consolidated

Result Set

Built From All

Cells

SELECT

customer_nameFROM calls

WHERE amount >

200;


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Smart Scan Transparency

Smart scans are transparent to the application No application or SQL changes required

Returned data is fully consistent and transactional

If a cell dies during a smart scan, the uncompleted portionsof the smart scan are transparently routed to other cellscontaining a replica of the data

Smart Scans correctly handle complex cases including Uncommitted data and locked rows

Chained rows

Compressed tables

National Language Processing

Date arithmetic Regular expression searches

Partitioned tables

High Throughput, Reduced Overhead, No Complex Tuning


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Exadata Smart Scans:

Offloaded data mining scoring

Data mining scoring executed in Exadata:

All data mining scoring functions offloaded to Exadata

Up to 10x performance gains

Reduced CPU utilization on Database Server

select cust_idfrom customerswhere region = USand prediction_probability(churnmod, Y using *) > 0.8;

Scoring functionexecuted in

Exadata

11.2


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Exadata Storage IndexTransparent I/O Elimination with No Overhead

Exadata Storage Indexes maintain summaryinformation about table data in memory

Store MIN and MAX values of columns

Typically one index entry for every MB of disk

Eliminates disk I/Os if MIN and MAX can nevermatch where clause of a query

Completely automatic and transparent

A B C D

1

35

5

8

3

Min B = 1

Max B =5

Table Index

Min B = 3

Max B =8

Select * from Table where B


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Data Growth Challenges

IT must support exponentiallygrowing amounts of data

Without hurting performance

Without growing cost

Powerful and efficientcompression is key


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50XUp To

Exadata Hybrid Columnar Compression

Data is stored by columnand then compressed

Query Modefor datawarehousing

Optimized for speed

10X compression ratio is typical

Scans improve proportionally

Archival Modefor

infrequently accessed data Optimized to reduce space 15X compression is typical

Up to 50X for some data

11.2

E d t H b id C l C i


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Exadata Hybrid Columnar Compression

How it works

Tables are organized into sets of a few thousandrows called Compression Units (CUs)

Within Compression Unit, data is Organized byColumn and then compressed

Column organization brings similar values closetogether, enhancing compression

Useful for data that is bulk loaded and queried

Update activity is light

Reduces

Table Size

4x to 40x4x to 50x

Reduction

Compression

Unit


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Exadata Hybrid Columnar CompressionWarehousing and Archiving

Warehouse Compression

10x average storage savings 10x Scan I/O reduction

Archive Compression

15x average storage savings

Up to 50x on some data Some access overhead

For cold or historical data

Optimized for Speed Optimized for Space

Smaller WarehouseFaster Performance Reclaim 93% of DisksKeep Data Online

Can mix compression types by partition for ILM


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10 10 10 1116

19 19 19 20 21

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05

10

15

20

25

30

35

40

45

50

SizeRed

uctionFactorbyTable

OLTP Compression (avg=3.3)

Query Compression (avg=14.6)

Archive Compression (avg=22.6)

Real-World Compression RatiosOracle Production E-Business Suite Tables

Columnar compression ratios

Query = 14.6X

Archive = 22.6X

Vary by application and table

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Exadata Smart Flash CacheBreaks the Disk Random I/O Bottleneck

Trade-off between traditional disks drives and

Flash Disk drives are cheap, high capacity but low I/Os per

second (300 IOPS per disk)

Flash is expensive, lower capacity but can supporttens of thousands of I/Os per second

Ideal Solution - Exadata Smart Flash Cache Keep most data on disk for low cost

Transparently move hot data to flash

Use flash cards instead of flash disksto avoid diskcontroller limitations

Flash cards in Exadata storage High bandwidth, low latency interconnect

4 x 96GB PCI Express Flash Cards per ExadataServer

11.2

300 I/O per Sec

Tens of Thousands ofI/Os per Second


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Exadata Smart Flash Caching Algorithm

Caches data intelligently to maximize Flash memoryusage for frequently read data

Automatically skips caching of infrequently read objects Backups not cached

Secondary copy of mirrored user data not cached

I/Os due to ASM rebalance operations not cached.

User can further optimize caching policies by specifyingwhether or not to cache specific database objects.

11.2


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Benefits of Exadata Smart Flash Cache

Integrated solution provides performance of Flash at the price oftraditional disks

Exadata Flash Cache is shared across all the database nodes of acluster unlike flash cards inserted in a database server

Exadata Flash Cache does not duplicate data cached in otherExadata Storage Servers

Exadata Flash Cache benefits from Exadatas scale-out architecture.More capacity and bandwidth as you add more Exadata StorageServers

Can run Smart Scans against contents in the Exadata Flash Cache

Can simultaneously issue I/O to the Flash cards and the physicaldisks for even higher performance

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Exadata Logical Flash Disks

Configure a portion or all of the Flash memory to act as

persistent Logical Flash Disks Treat them just like regular disks

Create ASM diskgroups across these Flash disks like any otherASM diskgroup

Data is automatically mirrored by ASM across these Flash diskswith the mirrored copy on other Exadata Storage Servers

High Performance for write-intensive workloads

Logical Flash

Disks

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Exadata I/O Resource ManagementMixed Workload Environments

With traditional storage,creating and

managing shared storage ishampered by the inability to balancethe work between users on the samedatabase or on multiple databasessharing the storage subsystem

Hardware isolation is the

approach to ensure separation Exadata I/O resource managementensures different users and taskswithin a database are allocated thecorrect relative amount of I/Oresources

For example: Interactive: 50% of I/O resources

Reporting: 30% of I/O resources

ETL: 20% of I/O resources

DatabaseServer

Exadata Cell




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Exadata I/O Resource ManagementMulti-Database Environment

Ensure different databases areallocated the correct relative amount ofI/O bandwidth

Database A: 33% I/O resources

Database B: 67% I/O resources

Ensure different users and tasks within

a database are allocated the correctrelative amount of I/O bandwidth

Database A:

Reporting: 60% of I/O resources

ETL: 40% of I/O resources

Database B: Interactive: 30% of I/O resources

Batch: 70% of I/O resources

Exadata Cell


Database A Database B



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Exadata Scale-Out Storage Grid

Dynamic virtualized storage

resources using Automatic StorageManagement (ASM)

Simple and non-intrusive resourceallocation, and reallocation, enablingtrue enterprise grid storage

Database work spread acrossstorage resources for optimalperformance

Powerful storage allocation optionsand management

Flexible configuration forperformance and availability

Exadata Cell


Single-Instance

Database

RAC

Database



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Exadata Storage Layout

Cell

Disk

Sys Area Sys Area

Grid Disk n

Grid Disk 1

ASM disk

ASM disk

Physical disks map to Cell Disks

Cell Disks partitioned into one or multiple Grid Disks Grid Disks created in order of hottest first to coldest portion of the

disk last

ASM diskgroups created from Grid Disks

Transparent above the ASM layer

Physical

Disk


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Exadata Storage Layout ExampleASM Mirroring and Failure Groups

Example shows cell disks divided into two grid disks hot and cold

Two ASM disk groups created across the two sets of grid disks ASM striping evenly distributes I/O across the disk groups

ASM mirroring is used to protect against disk failures

ASM failure groups are used to protect against cell failures


Hot Hot Hot

Cold Cold Cold

ASM

Disk Group

ASM

Failure Group

Hot Hot Hot

Cold Cold Cold

ASM

Failure Grou

I l d G id Di k


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Interleaved Grid Disks

Grid disks are optionally split andinterleaved to place frequently accesseddata in all grid disks on higher performingouter tracks

All applications benefit from higherperformance outer tracks of disks

Grid Disk 2

Hot Data, Cold Data

Grid Disk 1

Hot Data, Cold Data

11.2

E d t St M t & Ad i i t ti


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Exadata Storage Management & Administration

Enterprise Manager Manage & administer Database and ASM

Exadata Storage Plug-in Enterprise Manager Grid Control Plug-in to monitor & manage

Exadata Storage Cells

Comprehensive CLI Local Exadata Storage cell management

Distributed shell utility to execute CLI across multiple cells

Sun Embedded Integrated Lights Out Manager (ILOM)

Remote management and administration of hardware

E d t St Pl i


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Exadata Storage Plug-in

Enterprise Manager Grid Control Plug-in to monitor &

manage Exadata Storage Cells Works with Enterprise Manager Grid Control 10.2.0.3and later versions

D t P t ti S l ti


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Data Protection Solutions

All single points of failure eliminated by the Exadata Storage architecture

Hardware Assisted Resilient Data (HARD) built in to Exadata Storage Prevent data corruption before it happens

Data Guard provides disaster protection and data corruption protection

Automatically maintains one or more copies of the database

Flashback provides human error protection

Snapshot-like capabilities to rewind database to before error

Recovery Manager (RMAN) provides backup to disk

Archiving and corruption protection

Can be used with Oracle Secure Backup (OSB) or third party tape backupsoftware

These work just as they do for traditional non-Exadata storage

Users and database administrator use familiar tools

E d t C E i t d Mi ti


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Exadata Co-Existence and Migration

Databases can be concurrently

deployed on Exadata andtraditional storage Tablespaces can exist on Exadata

storage, traditional storage, or acombination of the two, and is

transparent to database applications SQL offload processing requires allpieces of a tablespace reside onExadata

Online migration if currently using

ASM and ASM redundancy Migration can be done usingRMAN or Data Guard

Non-Exadata

Database

Server

Online Migration

Exadata


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Best Data Warehouse Machine


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E d t St F t


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Exadata Storage Features

Exadata Smart Scans 10X or greater reduction in data sent to

database servers

Exadata Storage Indexes Eliminate unnecessary I/Os to disk

Hybrid Columnar Compression Efficient compression increases user data scan

rates

Flash doubles scan rates Combined with Hybrid Columnar Compression,

scan rate is 20X more

I M P ll l E ti


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In-Memory Parallel Execution

A single database machine has over400GB of memory usable for caching

Database release 11.2 introduces parallelquery processing on memory cached data

Harnesses memory capacity of entire database clusterfor queries

Foundation for world record 1TB TPC-H

Exadata Hybrid Columnar Compressionenables multi-terabyte tables or partitionsto be cached in memory

315,842

1,018,321

1,166,976

ParAccel Exasol Oracle & HP

Exadata

QphH: 1 TB TPC-H

Faster than specialized in-memorywarehouse databases

Memory has 100x more bandwidth than Disk

Source: Transaction Processing Council, as of 9/14/2009:

Oracle on HP Bladesystem c-Class 128P RAC, 1,166,976 QphH@1000GB, $5.42/QphH@1000GB, available 12/1/09.Exasol on PRIMERGY RX300 S4, 1,018,321 QphH@1000GB, $1.18/QphH@1000GB, available 08/01/08.

ParAccel on SunFire X4100315 842 hH 1000GB $4.57 / hH 1000GB available 10/29/07.

11.2

B fit M lti l
http://www.tpc.org/tpch/results/tpch_result_detail.asp?id=107102903http://www.tpc.org/tpch/results/tpch_result_detail.asp?id=107102903


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Benefits Multiply

1 TBwith compression

10 TB of user dataRequires 10 TB of IO

100 GBwith partition pruning

20 GBwith Storage Indexes

5 GBwith Smart Scans

SubsecondOn Database

Machine

Data is 10x Smaller, Scans are 2000x faster

DBFS Scalable Shared File S stem


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DBFS - Scalable Shared File System

Database Machine comes with DBFS shared Linux file system Shared storage for ETL staging, scripts, reports and other application files

Files stored as SecureFile LOBs in database tables stored inExadata

Protected like any DB datamirroring, DataGuard, Flashback, etc.

5 to 7 GB/sec file system I/O throughput

ETL Files in DBFS

Load into databaseusing External Tables

ETL

More File Throughput than High-End NAS Filer

11.2


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Best OLTP Machine

Best OLTP Machine


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Best OLTP Machine

Only Oracle runs real-world businessapplications on the Grid

Unique fault-tolerant scale-out OLTPdatabase

RAC, Data Guard, Online Operations

Unique fault-tolerant scale-out storagesuitable for OLTP

ASM, Exadata

Dramatic New OLTP Capabilities

Exadata Flash 11 2


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Exadata FlashSolves the Random I/O Bottleneck

Oracle is the First FlashOptimized Database

11.2

Sun Oracle Database Machine has

5+ TBof flash storageExadata Smart Cache caches hotdata

Database Machine achieves:

20x more random I/Os

Over 1 million per second

2x faster sequential query I/O

50 GB/sec

10x better I/O responsetime

Sub-millisecondGreatly Reduced Cost

10x fewer disks for IOPS

Lower Power

Complete Open Integrated Availability


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WAN

Complete, Open, Integrated AvailabilityMaximum Availability Architecture

Protection from Server Failures Storage Failures

Network Failures

Site Failures

Real-time remote standby open for queries

Human error correction Database, table, row, transaction level

Online indexing and table redefinition

Online patching and upgrades

Real

ApplicationClusters

ASM

Fast

Recovery Area

Active

Data Guard

SecureBackup

Complete Open Integrated Security


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Complete, Open, Integrated Security

DataMasking

AdvancedSecurity

SecureBackup

Encryption and Masking

DatabaseVault

LabelSecurity

Access Control

ConfigurationManagement

AuditVault TotalRecall

Monitoring


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Consolidation


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Consolidation

Biggest driver of ongoingcost is

Multitudes of special-purpose systems

Consolidate onto DatabaseMachine

High performance for all applications

Low cost platform for all applications Predictable response times in a shared

environment

Handles all data management needs

Complete, Open, Integrated

ERP

CRM

Warehouse

Data Mart

HR

CRMERP

Warehouse Data Mart

HR



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Consolidation mixes many different

workloads in one system Warehouse oriented bulk data processing

OLTP oriented random updates

Multimedia oriented streaming files

The Sun Oracle Database Machinehandles any combination of workloadswith extreme performance And predictable response times

Dramatic new consolidationcapabilities

ERP

CRM

Warehouse

Data Mart

HR

Consolidate Storage


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Consolidate Storage

Exadata and ASM allow all storage servers to be

shared across databases

Shared Configuration Advanced data striping spreads every database across

all storage servers

Eliminates hot-spots and captive unused space

Full storage grid performance available to all databases

Database or cluster level storage security

Predictable Performance

Exadata I/O resource managerprioritizes I/Os to

ensure predictable performance At user, job, application, or database level

No need for isolated storage islands

ERP

CRM

Warehouse

Data Mart

HR

Consolidate Servers


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Consolidate Servers

Many databases can run on Database

Machine servers Shared Configuration

Applications connect to a database servicethatruns on one or more database nodes

Services can grow, shrink, & move

dynamically Large databases can span nodesusing RAC

Multiple small databases can run on a single node

Predictable performance

Instance cagingprovides predictable CPUresources when multiple databases run on thesame node

Restricts a database to subset of processors

ERP CRM

Warehouse

Data

Mart

HR


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The Architecture of the Future

Massively Parallel Grid

Best for Data WarehousingBest for OLTP

Best for Consolidation

Resources


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Resources

Oracle.com:http://www.oracle.com/exadata

Oracle Exadata Technology Portal on OTN:http://www.oracle.com/technology/products/bi/db/exadata

Oracle Exadata white papers:http://www.oracle.com/technology/products/bi/db/exadata/pdf/exadata-technical-whitepaper.pdf

http://www.oracle.com/technology/products/bi/db/exadata/pdf/migration-to-exadata-whitepaper.pdf


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Documents

01 Sun Oracle Exadata V2 Technical Overview