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Exadata and SuperCluster for SAP Julian Dontcheff, Accenture

Copyright © 2014 Accenture All Rights Reserved

Agenda

Executive Summary

What is Oracle Exadata?

Oracle Exadata beneath SAP

Use Cases

Evaluation of Oracle Exadata and SAP HANA

Oracle 12 IM

Credentials

1


Agenda

Executive Summary



Use Cases


Oracle 12c IM

Credentials

2


Executive Summary

• Recent surveys (e.g. computerworlduk.com) within the SAP appplication

customers have shown that 43% of the users are dissatisfied with the

overall performance of SAP applications

• And against the background of increasing amount of data a

company generates in the daily

business activities and the need

to analyze the available information as fast as possible, the performance of the

SAP application will become more and more important in the future

• Oracle Exadata is a solution to speed up an existing SAP application

landscape significantly but running the existing SAP systems unchanged

• Oracle Exadata (and SuperCluster) is perfect for Database Consolidation

3


Executive Summary: What are SAP customers pain points beyond performance?

• Complexity

• Database and Storage Silos

• Too Many Vendors

• Trial and Error

• High Manageability • Efficient High Availability

• Disaster Recovery

• Backup/Restore Time

• High IT Cost

4


Executive Summary: facts about EXA4SAP

• 90 customers with hundreds of databases in production

• Database (online) migration only

• NO changes to SAP applications

• NO upgrade of NW 7.0 and higher

• Consolidate Transactions and Analytics into one machine • All use Real Application Clusters (RAC) – out of the box

• Makes everything faster that spend time in the database

• Apply existing personnel, skills, Oracle licenses, etc.

• Exadata coexists with BWA and HANA

• Hybrid Columnar Compression is planned with 12cR1 (10 and more compression ratio)

• Oracle Database Security options are transparently available in Exadata

where TDE encryption and decryption is up to 10 times faster with OL on

the compute nodes

5


Executive Summary: facts about EXA4SAP

• HA & DR already proven and out-of-the-box in Exadata

• Exadata supports running multiple Oracle databases on a single production

server

• One or multiple Oracle Homes

• Customers don’t need to install either OS or database SW in Exadata • Reference customer cuts costs of system maintenance and operations by

80%

• Oracle Platinum Services is a special entitlement under Oracle Premier

Support, delivered at no additional cost.

• 24/7 Oracle remote fault monitoring backed by accelerated response times and patches deployed quarterly by Oracle

• Exadata for SAP customers number is growing even faster

6


Executive Summary: SAP on Oracle 12c roadmap

7


Executive Summary: SAP commitment

8

Open Choice and Full Support to Customers SAP remains committed to support its customers’ choice of database technologies and vendors. SAP will continue to provide innovation for all databases supported and work with its database partners to support these innovations, which may include in-memory optimizations.

http://global.sap.com/corporate-en/news.epx?PressID=20221

SAP Business Suite remains open to other database technologies and vendors and only one version of SAP Business Suite goes forward without disruption. Innovations in the SAP Business Suite, such as push down of data centric processing logic from the application server to database tier via stored procedures would be made available to other databases too making them perform better too.

http://www.saphana.com/community/blogs/blog/2013/01/10/a -promise-delivered-sap-business-suite-is-now-powered-by-hana


Executive Summary: SAP on Exadata customers

9


Executive Summary: SAP on Exadata clients

10

• “Choosing Oracle Exadata was a long-term investment decision. Performance has increased 10 to 20 times depending on the report, which has improved user productivity and customer satisfaction. With its consolidation options Exadata also allows us to accelerate both SAP and non-SAP use, which means cost savings.”

• – DIETMAR SCHLAR,

• Manager, Raiffeisen Informatik Center Steiermark, Graz

• “The bottom line was that our test and analyses showed Oracle Exadata to be a better solution for us than SAP HANA – from a technology, business and conceptual viewpoint.”


Agenda

Executive Summary



Use Cases


Oracle 12c IM

Credentials

11


The in-memory vision as solution for bottlenecks in data analysis

12


Query Results

Aggregates

Indexes

Data Warehouse

Operational Data Store

Calculation Engine

Copy

ETL

Query

Traditional Approach for Data Analysis

In-memory analytics

Database

(OLTP + OLAP)

In-memory Approach for Data Analysis

Business Data

• Transactional data is not avaialble right after the creation for analytics

• Complex and expensive infrastructure required

• Redundant and slow data storage

• Transactional data is available right after the creation for analytics

• No optimization necessary

• Less complex infrastructure and system architecture

• Faster generation of business insights


Oracle Exadata is part of a bundle of in-memory applications

13


Exadata Exalogic SuperCluster Big Data Appliance Exalytics

What is it?

Database Machine for consolidation, data warehouse, OLTP, and mixed workloads

Application Machine for Private Cloud and consolidating Oracle Fusion Middleware, Oracle applications and Linux applications

Multi-purpose Solaris / SPARC system. Designed for consolidation of Oracle and third-party applications and database environments

Optimized for Big Data. Expandable Hadoop and NoSQL based system, optimized for low density and unstructured data

In-Memory BI Machine. Extreme performing in memory and middle tier analytics platform

Market Maturity

4,000 Installs

and growing

100 Installs

and growing

300 Installs

and growing

100 Installs

and growing

400 Installs

and growing


Oracle Exadata is a joint hardware and software solution

The system is:

• Complete and integrated (servers, network, storage)

• With one architecture for OLTP, Data Warehousing,

Consolidation and Database Cloud Workloads

• Pre-built and scalable

• Balanced workload

• Secure cloud-based

Oracle Exadata has the purpose to:

• Reduce systems integration effort

• Run existing applications unchanged, including SAP

• Apply existing personnel, skills, Oracle licenses

• Speed up database queries performance

• Less administration, simpler patching, better uptime

• Consolidate platforms and databases, reduce power and cooling costs

• It leverages commodity components to deliver a lower TCO

14



Oracle Exadata facilitates to low total cost of ownership

15


The Oracle Exadata Database Machine provides performance for both, data

warehousing and online transaction processing (OLTP) applications,

making it a platform for consolidating onto grids or private clouds.

This primarily leads to:

• Reduce non-discretionary effort with database consolidation, reduce

license costs and operational expenditures

• Consider business intelligence, analytics, OLTP or data warehouse

implementations


Oracle Exadata is a comprehensive approach

16


The Exadata Database Machine is composed of database servers, Oracle

Exadata Storage Servers, an InfiniBand fabric for storage networking and all

the other components required to host an Oracle Database.

Infiniband Network

40 GB/Sec Transfer Rate

No Bottleneck

Database cluster Storage Grid

Scalable, Secure, Redundant

• Exadata is engineered

end-to-end, optimized

as Full-System and

ready to run • Builds on proven long-

term SAP on Oracle

Database leadership

and skills

• Certified by SAP


Oracle Exadata is an engineered offering

18


Innovation Benefits

Smart storage capabilities Smart storage reduces the I/O bandwidth consumption and CPU consumption of database server by offloading

query processing to data aware storage layer – DW databases gain significant from this Exadata capability.

Hybrid columnar compression for

OLTP

Reduced warehouse size in Exadata increases the DW databases performance due to lower database scan I/O.

There are associated capex savings too.

Smart flash cache Repeated random reads and writes typical of OLTP databases benefit from the usage of Flash cache – enhances

read/write performance between 8X – 20X resulting in smoother online experience.

Infiniband network Both DW and OLTP databases gain significant from the usage of the ultra high speed Infiniband network – data

movement between database and storage layers happen very fast.

Single Stack for all Oracle

products Both DW and OLTP databases benefit from the ease of patching and maintenance of Exadata.

saaa

Intelligent Storage Hybrid Columnar Compression

Smart PCI Flash Cache


Agenda

Executive Summary



Use Cases


Oracle 12c IM

Credentials

19


SAP customers face performance issues

20


• System Performance

• High IT cost

• Unconsolidated infrastructure

• Backup/Restore time

• High Availability and Disaster Recovery

• Too many vendors

• Trial and error

• High manageability

SAP Customers main issues:

Source: http://www.computerworlduk.com/news/applications/3266124/half -of-sap-users-dissatisfied-with-system-performance/


Oracle Exadata is leading edge technology for boosting SAP applications

21


With Oracle Exadata

Database Machine SAP

customers can:

• Improve performance of all applications

• Reduce IT costs through consolidation

• Manage more data on multiple compression tiers


Oracle Exadata is certified by SAP for a broad range of SAP applications

22


Certified for (excerpt):

• OLTP i.e. SAP ECC 6.0

• OLAP i.e. SAP BW 7.x

• SAP CRM (2005 / 2007 / 7.x)


Advantages of Oracle Exadata for SAP Proof of Concepts (POC)

23


Exadata does not require special tuning:

• Improves performance • Unburdens system engineers and

application development from tuning tasks

IO is no more the major wait event:

• Database workload is now mainly active on CPU for SQL processing

Very high potential to accelerate BW query processing:

• Faster DB response time in average

High potential to accelerate operational (ERP) workloads:

• Faster DB response time in conducted POCs


The Oracle Exadata Database Machine is a ready to deploy solution

24


• Oracle Databases run on

Exadata Database Machine

• 3-tier architecture with SAP

instances running on separate

servers and not on the database

servers

• Flexible 3-tier architecture allows

for any combination of

hardware and operating

systems running the SAP

instances

• SAP layer is unchanged

SAP Instances

SAP Applications with Oracle Exadata Database Machine:

Application Layer

Database Layer

SAP ECC 6.0

SAP BW 7.x

SAP CRM 7.x

SAP Instances SAP Instances

User

Exadata


The Oracle Exadata Database Machine is a ready to deploy solution

25


The combination of Exadata and Exalogic is a complete hardware and software engineered solution that improves performance for all enterprise applications, including:

• Oracle E-Business Suite

• Siebel

• PeopleSoft and

• SAP applications

Application Layer

Database Layer

SAP ECC 6.0

SAP BW 7.x

SAP CRM 7.x

SAP Instances

User

Exalogic

Exadata

SAP Instances

SAP Instances


SAP

ECC 6.0

SAP BW 7.x

Standby DB

SAP

CRM 7.x

Database on Exadata

SAP ECC 6.0

Standby DB

SAP

BW 7.x

SAP CRM 7.x

Standby DB

Database on Exadata

Oracle Exadata supports all Oracle

DB features of database and data

security technologies:

• RAC protects against node failures

• Data Guard protects against Data

failures and Disasters

• Snapshot Standby for testing

• ASM protects against storage

failures

• Flashback protects against user

errors

• RMAN backup

Oracle Exadata ensures data security

26



Agenda

Executive Summary



Use Cases


Oracle 12c IM

Credentials

27


Oracle Exadata fits to typical customer needs

28

Use Cases

• Oracle/Sun Installed

Base • Existing stable running on

RAC and Linux

• Database Consolidation • Need to consolidate multiple

database silos

• New Project or

Application • Application that also requires

batch processing

• Requires extreme

transaction volumes & large

amounts of data

• Existing Oracle Data

Warehouse Customer • Experiencing performance

and scalability issues

• New Data Warehouse

Opportunity • Oracle database experience

and knowledge

• Customer looking for „Appliance“ Solution • Need quick, „black“ box

deployment

• Data Mart Consolidation

• Need to consolidate multiple

information silos

• Hardware refresh

• Identifies budget for new

equipment

• Oracle/Sun Installed

Base • Multiple Oracle database on

multiple hardware platforms

• Database Tier Consolidation • Identifies project to reduce

storage costs

• Data Center

Infrastructure Consolidation • Identified projects to optimize

and standardize database

platform

OLTP OLAP Consolidation


Oracle Exadata fits to several use cases

29

Use Cases

Key Differentiators

Database Machine for all Database Workloads: DW & OLTP

Making it a high-performance platform for database consolidation

Storage Capacity Compression rate of 10X-50X

(Hybrid Columnar Compression)

Database Storage Performance 10-100X faster than conventional DB systems

through innovative technologies:

Parallel query

execution

Smart Scan: Data intensive processing at the storage layer

Smart Flash Cache

Typical Use Cases

Performance Issues Storage requirements increasing and

performance decreasing

New Implementations or Renewals

Data warehouse renewal / refresh

New BI solution

implementation

New DR / BC environments

Agile Infrastructure

Database consolidation

Data center cost reduction

initiatives

Cloud strategy implementation


Challenges at Dongfeng – an automotive scenario example

30

Use Cases

Dongfeng Motor Co., Ltd. (DFL) was established on June 9, 2003 as a joint venture between Dongfeng Motor Corporation and Nissan Motor Co. It is the biggest joint-venture enterprise in China’s automotive sector, with registered capital valued at US$2 billion. In July 2011, DFL launched a 2011 to 2015 development program, which will be worth around US$7.9 billion to the Chinese economy. The program will increase the company’s sales from 1 million to 2.3 million vehicles and its sales outlets from 1,400 to 2,044.

The Client

DFL needed to ensure its IT services and infrastructure could support this rapid business development, while minimizing infrastructure implementation and maintenance costs.

The Challenge

DFL chose Oracle products to develop its privatecloud database as Oracle Exadata’s integrated hardware and software offers high reliability, easy integration and scalability, reduced costs, and is convenient to manage. The company was attracted to Oracle Exadata’s excellent performance, which significantly reduced purchasing costs by eliminating the need for extra database software and disk arrays. Oracle Exadata would also improve the company’s return on investment for its private cloud database, and save energy, data center space, and management and service expenses.

Why Exadata


Use Cases

31

Challenges at Dongfeng – Business Outcome

The Implementation Path

11/2011 DFL purchased an Oracle Exadata Database Machine X2-2 Quarter Rack, engaging Oracle Diamond Partner Accenture and Oracle partner Shenzhen Lan-You Technology Co., Ltd. to install the machine at the company’s data center.

12/2011 Shenzhen Lan-You Technology deployed the test and development environment later that month, followed by the main Oracle Exadata hardware.

01/2012 The Oracle partners deployed the databases for the spare parts logistics management and distributor management systems. The deployment time was reduced from one month to one week, minimizing the impact on the company’s operations.

03/2012 The partners carried out performance tests and additional tuning, and deployed and tested the management monitoring tool.

06/2012 The spare parts logistics management and distributor management systems went live on the Oracle Exadata-based, private, cloud database.


Use Cases

32

Challenges at Dongfeng – Business Outcome

By taking advantage of Oracle Exadata’s superior performance, DFL has easily supported both systems on a single database machine. In preliminary tests, Oracle Exadata improved the performance of the spare parts logistics management system by 15x, compared to its legacy architecture-based database environment.

The Results

In addition, running the distributor management system centrally on Oracle Exadata ensures DFL can support the large volume of data in the company’s distributor-management system and the rapid increase in system users. This will significantly reduce the hardware required, compared to running the system separately at each location.

The database machine also provides the storage capacity and scalability to easily support the expected growth in sales, products, and concurrent system users over the next three years. This will save DFL a significant amount in system upgrade costs.

The company developed a private cloud database based on Oracle Exadata Database Machine to integrate enterprisewide data services and support its SAP-based, spare-parts, logistics management system and in-house-developed, distributor-management system.


Use Cases

Accenture has deep experience in Exadata implementation projects and has a broad Exadata

asset portfolio, e.g.:

• Accenture Exadata Migration Toolkit:

• Migrates Database from any vendor to Exadata

• Combination of Accenture proprietary Methodologies and 3rd Party Tools

• 50% less effort when utilized

• Accenture Foundation Platform for Oracle (AFPO) – Exalogic

• Accelerates Tech Arch and saves up to 30% in projects

• Pre-built, tested, integrated and configured Exalogic OVM Images for Oracle’s Fusion Middleware

• Accenture Exadata implementation methodology (AEIM):

• Develop migration & load strategy

• Support application code and test

migration programs

• Conduct system level testing

• Support user acceptance testing

• Perform test migrations

• Develop production execution plan

• Validate source databases

• Analyze source system for OS,

database size, applications, etc.

• Validate certification matrix

• Check application dependencies

• Identify obsolete and desupported functionality

• Determine data/database scope

• Create dedicated migration project

plan

• Set milestones and deliverables

jointly with the client

• Allocate committed resources

• Coordinate with development team

on migration

Design, develop, test & implement

Discovery, analysis & requirements Migration Project Planning

33

Accenture offers a broad range of Exadata assets


Agenda

Executive Summary



Use Cases


Oracle 12c IM

Credentials

34


Gartner analysis shows five leaders on the DW database market

35


Oracle SAP IBM Microsoft Teradata

• Oracle

DBMS

• Oracle

Exadata

• Oracle

Exalytics

• Oracle

Data

Integrator

• SAP

Hana

• SAP

Sybase

IQ

• MaxDB

• IBM DB2

• IBM Informix

• IBM

DataStage

• IBM

PureData

Analytics

(Netezza)

• Microsoft

SQL Server

• Microsoft

SQL Server

Integration

Services

• Teradata

2xxx

• Teradata

6xxx

Source: Gartner, January 2013: Data Warehouse Database Management Systems


The evaluation of Exadata and HANA clustered in categories

36


Description

Applications

Technology

Performance

Financials

AS OF JUNE 2013


SAP HANA

SAP HANA is a new data base

technology based on in-memory. It can support transactional (OLTP) and multidimensional (OLAP) workloads. All of

its OLAP capabilities are virtual: there is no need to duplicate data or have a

separate system for reporting. As data is stored once, it is also instantly available through other tools, such as

SAP Landscape Transformation, Data Services or Event Stream Processing for

transactional purposes, and therefore reporting is in real time.

Oracle Exadata

The Oracle Exadata Database Machine is

a complete package of servers, storage, networking, and software that is massively scalable, secure, and redundant.

The Exadata Database Machine is composed of database servers, Oracle

Exadata Storage Servers, an InfiniBand fabric for storage networking and all the other components required to host an

Oracle Database.

Description of both solutions and features

37


Description

Application

Technology

Performance

Financials

AS OF JUNE 2013


SAP HANA

Supports (latest version):

• SAP Netweaver BW 7.3

• SAP ERP 6.0

• SAP EhP 2 for SAP CRM 7.0

• SAP SCM 7.0

• SAP Solutions based on copy of

database for specific business

scenarios, e.g.:

• SAP Cash Forecasting

• Sales Pipeline Analysis

HW Provider: Cisco, Dell, Fujitsu, HP,

Hitachi, IBM, NEC, VCE

Oracle Exadata

Supports all SAP NetWeaver 7.x ABAP and Java products & industry solutions:

• SAP ERP 6.0, SAP ECC 6.0

• SAP BW 7.x

• SAP CRM, SRM, SCM (2005 / 2007 / 7.x)

• SAP Oil&Gas 2005 / 6.x

• SAP Banking Services 5.0 / 6.0 / 7.0 / 8.0

HW Provider: Oracle/Sun

Both solutions are supporting SAP applications

38


Description

Application

Technology

Performance

Financials

AS OF JUNE 2013


SAP HANA

• Column/Row Storage: Using columnar storage

HANA delivers greater compression, can be better

partitioned (which in turn aids parallelization) and allows on-

the-fly schema extensibility

• 100% In-Memory: HANA computes all aggregates

on-the-fly and performs application logic within the database,

simplifying application design and reducing data movement,

i.e. no materialized aggregates and associated hardware to

maintain, disk only required for persistence, back-up and

for cost saving purposes by shifting unused data

• Parallelization: HANA parallelizes tasks by leveraging

multi-core CPUs, dynamic multi-threading within nodes, and

horizontal and vertical partitioning

• Insert Only: By storing all historical versions of data

values analytics on historical data is enabled, and the

database is ready to meet certain audit / regulatory

requirements

Oracle Exadata

• Intelligent Storage: Smart storage reduces the I/O

bandwidth consumption and CPU consumption of database

server by offloading query processing to data aware storage

layer

• Hybrid Columnar Compression: Reduced

warehouse size in Exadata increases the DW databases

performance due to lower database scan I/O

• Smart PCI Flash Cache: Repeated random reads

and writes typical of OLTP databases benefit from the usage of

Flash cache – enhances read/write performance 8X – 20X

• Infiniband Network: Both DW and OLTP databases

gain significant from the usage of the ultra high speed Infiniband

network – data movement between database and storage

layers happen very fast

Latest technologies are part of both solutions

39


Description

Application

Technology

Performance

Financials

AS OF JUNE 2013


SAP HANA

SAP HANA machines are offered by

different certified manufacturers with different product catalogues, e.g. HP

SAP HANA machines are divided in

Single Node and Scale-out solutions

SAP HANA is sized over the memory (RAM).

Oracle Exadata

Example Oracle Exadata X3-2:

• DB Server: 8

• Storage Server: 14

• Capacity (SAS): 100 TB

• I/O Disk: 25 GB/sec

• I/O Flash: 100 GB/sec

• I/O per second: 1,000,000

Oracle Exadata machines can be

ordered in a HP and in a HC configuration. Exadata HP: optimized for high performance

Exadata HC: optimized for high capacity

Oracle Exadata is sized over the storage and database blades.

Comparison of performance aspects

40


Description

Application

Technology

Performance

Financials

AS OF JUNE 2013


SAP HANA

The Accenture Innovation Centers for

SAP (AICS) are a joint SAP and Accenture co-funded initiative started as advanced research facility where

Accenture’s industry know-how meets SAP technology offering. Next to the

existing 11 centers, a new center was opened in Germany which will specifically focus on SAP HANA to e.g.

offer workshops for clients to demonstrate the value of SAP HANA based solutions

and to provide a platform for SAP HANA PoC.

Oracle Exadata

On April 16th 2013, Accenture launched a

new offering - the Accenture Engineered Systems Center of Excellence. The offering provides clients to “Try before

they buy” with the ability to prove their workloads through a series of tests run

by our Engineered Systems experts. Accenture uses a repeatable methodology to simulate workload in our Engineered

Systems CoE to predict system performance, system scalability, and

ensure service levels of user experience

Strong partnership to both vendors for customer specific evaluation

41


Description

Application

Technology

Performance

Financials

AS OF JUNE 2013


SAP HANA

Accenture Alliances:

Accenture has strategic alliances with a number of certified SAP HANA manufacturers.

Oracle Exadata

Accenture Oracle Alliance:

Due to the existing Accenture Oracle Alliance, Accenture can offer an attractive pricing model for Oracle Exadata

machines.

Comparison of financial aspects

42


Description

Application

Technology

Performance

Financials

AS OF JUNE 2013

An overall financial comparison of both technologies is not possible due to the different technical

approach and due to a different hardware vendor approach. In addition, a financial comparison is strongly based on an underlying business case.


• Both databases are in-memory enabled and also able to provide significant performance gains for

existing SAP applications using OLAP or OLTP. • For both databases the advancement is still in progress and new supported SAP applications will

follow.

• Both databases can be extended with Analytical applications by adding HANA Apps or Exalytics. This increases the dependency on the DB vendor though.

• Oracle Exadata • More mature product certified by SAP, supports more SAP applications Use Case: Client wants to accelerate SAP application which SAP HANA does not supports

• Supports also older versions of SAP applications (e.g. SAP BI 7.0 vs SAP BW 7.3) Use Case: Client wants to accelerate SAP application without upgrading the SAP application

• Avoid database dependency by not shifting business logic to the database layer Use Case: Client wants to remain DB vendor independent

• SAP HANA

• More and more SAP business functions will become optimized for SAP HANA Use Case: Client wants to implement HANA-optimized business functions

• Applications and database are fully integrated and optimized on each other Use Case: Single vendor strategy Use Case: Client wants to benefit further from future SAP updates

Conclusion

43


AS OF JUNE 2013


Agenda

Executive Summary



Use Cases


Oracle 12c IM

Credentials

44


Oracle Database In-Memory Option Goals

45

Oracle 12c In-Memory Option

Real-Time Ad-hoc Analytics on Live Transactional Data

• Ask any business question

• Get an instant response

• Using current data


Dual Format In-Memory Database

46


BOTH row and column in-memory formats for same table

Analytics & reporting use New Column format

OLTP uses row format


Agenda

Executive Summary



Use Cases


Oracle 12c IM

Credentials

49


Company description Business Challenges & How Accenture Helped Benefits & Lessons Learned

• Shenhua Group Corp.

Ltd. (Shenhua Group)

is the largest

modernized coal

production enterprise

in China, and the

largest coal dealer in

the world.

Business Challenges

• Establish a single, secure, and highly reliable enterprise, private-cloud platform to

integrate various SAP databases and an Oracle Siebel CRM system used to

manage coal and energy production data

• Stem and reduce cost of expanding IT system operations and management

• Provide reliable and comprehensive support for management’s decision-making

and the analyses of coal production, sales, and transportation data

• Enhance database capacity and ensure the company has sufficient IT resources

required to operate and manage its informatization, IT-development project (which

will improve online access to coal- and energy-related data)

How Accenture Helped

• Accenture was involved into the deployment phase of the project and helped

complete the project by deploying the critical SAP enterprise management systems

onto Oracle Exadata

• Cut system operation and

maintenance costs by 80%

• Reduced implementation time by

300% to 500% compared to

conventional IT infrastructure

• Lowered total cost of ownership

while increasing database

capacity

• Ensured 24x7 system availability,

optimized disaster recovery

• Allowed managers to quickly and

concurrently access large

volumes of data for reporting,

decision-making

• Laid a solid foundation for future

low-cost IT infrastructure

expansion by having various

configurations, such as quarter-,

half- or full-racks, available for

business growth

Project Time Frame Technology Components Exadata Services Provided

• May 2011 – October

2012

• Oracle Exadata Database Machine Quarter Rack

• Oracle Linux

• Private cloud database platform

• Oracle Enterprise Manager 12c

• Oracle Exadata implementation

and database migration in several

stages

• Migrated Oracle Siebel CRM and

other important resource planning

systems onto the database

machine

Client: Shenhua Group

50

Credentials


Company description Business Challenges Benefits & Lessons Learned

• A leading IT solutions

provider in the Turkish

market since

1945―running its own

research and

development

department and

delivering data center

solutions and services,

network solutions and

services, and business

applications to

customers with 1,216

employees

Business Challenges

• Enable customers of any size and from a wide range of industries to benefit from

consolidation of storage systems, servers, and applications into one machine to

achieve higher performance and availability

• Provide customers with solutions to optimize IT performance and achieve important

reductions in floor space, power, and cooling requirements to save costs and

reduce CO2 footprints

• KoçSistem’s customers have

used Oracle Exadata Database

Machine to reduce costs and

carbon dioxide (CO2) footprints

by achieving dramatic reductions

in floor space, power

consumption, and cooling

requirements.

• Used Oracle Exadata Database

Machine to compress customer

databases—which ranged from 1

terabyte to 6 terabytes—to an

average of 40% of their original

size


• Deployed 8 Oracle Exadata Database Machines for customers in government,

finance, retail, and automotive sectors.

Client: KoçSistem Information and Communication Services Inc.

51

Credentials


Company description Business Challenges & How Accenture Helped Benefits & Lessons Learned

• Client owns, operates,

and franchises hotels,

resorts, and vacation

ownership properties

with over 1,000

properties worldwide

and employs around

145,000 people

globally.

Business Challenges

• The database was not originally designed for large data warehouse and support

large scale CRM application

• The initial database design is for a single instance of the CRM database

• As for the business grows over time, the database evolves into a data warehouse

with a size of an approximate size of 25 TB

• Additional hardware needs to be added periodically to meet the demand on the

database

• The database was saturated after some point. The resource requirement was

always high in database causing delay in catering business needs.

How Accenture Helped

• The Exadata solution was able to meet the availability, scalability, and throughput

requirements

• Oracle Exadata provides the capability to consolidate databases hosted across

multiple servers

• Ability to provide more up-to-date reports to support business decision

• ETL jobs and reporting activities

throughput improved by at least

5 folds

• Consolidated multiple servers

hosting databases onto fewer

servers to ease management,

maintenance, and patching for

future releases

• The database with Exadata was

highly available and scalable


• June 2011 – August

2011 (3 months

duration) follow by 5

years of AO contract

• Exadata X2-2 Full rack

• There are 8 Database Nodes making up a cluster. Each node has two 6-core Intel

Xeon X5670 processors and 96 GB of internal memory. These DB nodes run Linux.

• The cluster uses Infiniband as the interconnect hardware.

• All these nodes can address a 5.3 TB pool of flash storage called Smart Flash.

• 14 storage cells on Linux servers with disks attached to them, managed by ASM

(the volume manager from Oracle) that presents the entire storage to all the 8

database nodes

• Built-in redundancy of storage

• Provide planning and execution

of database migration from

Oracle 10g on HP-UX to Oracle

Exadata (11gR2 )

• Provide performance testing

support

• Provide production support

Client: International hotel chain

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Credentials

exadata and supercluster for sap - home: doag e.v. & sap...oracle exadata is an engineered...

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