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Enterprise

Content

Store

PBS CBW NLS IQ

Nearline Solution for SAP NetWeaver BW

and SAP NetWeaver BW on HANA


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ContentInformation Lifecycle Management in SAP BW ........................................3

Strategic Partnership ..................................................................................4

Information Lifecycle Management with PBS CBW NLS IQ........................4

Transfer Data into the Nearline Storage .....................................................5

Access to Information in Nearline Storage ................................................6

Architecture and Administration ................................................................8

Reduction of the Investment and Operating Costs ...................................9

Benets ......................................................................................................10

Solutions, Supported Platforms, Licensing ...............................................11

The PBS ILM solution for SAP BW is

based on the SAP nearline storage

architecture and allows the storage

to nearline combined with integrated

query searches of information from BW

systems. It also supports the proces-

sing of classical SAP BW data archives.

Both enable the implementation of a

strategic ILM concept. The PBS nearline

solution is certied by SAP.

Figure 1: Data Access depending on its current Status

The many demands made on a Data

Warehouse lead to more and more

increasing efforts and costs for system

operation, as the number of users and

the volume of data steadily increase.

With traditional databases the eva-

luation of large data stocks within a

matter of seconds is only possible

with additional effort using aggrega-

tes. Therefore, the question arises for

many companies that have an SAP

NetWeaver Business Warehouse (SAP

BW), whether they should use an SAP

Business Warehouse Accelerator (SAP

BWA) in addition to an SAP BW sys-

tem, or whether they should invest in

the in-memory database, SAP HANA.

These measures should considerably

increase user satisfaction and pro-

ductivity. The systems mentioned

InformationLifecycle Management in SAP BW

are already being used or their use is

currently being evaluated in the frame-

work of pilot projects in more and

more companies. The use of in-memo-

ry technology offers new perspectives

as far as data analyses are concerned,

but also involves, however, correspon-

ding investment costs.

The increasingly complex requirements

for fast and exible evaluations and

analyses of ever-increasing volumes of

data can only be realized on a long-

term basis and in a cost-efcient way

with the help of a strategic Information

Lifecycle Management (ILM) concept.

Within the scope of an Information

Lifecycle Management concept, infor-

mation should be differentiated

according to whether it is retrieved

very often, less often, or never.

2

Access Frequency

Database /

SAP HANA

Nearline

Archive

Current Status of Data

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PBS Software GmbH has become a

leading provider of add-on solutions

in the SAP ILM environment thanks to

its intensive partnership with SAP over

many years in the area of Information

Lifecycle Management for a wide variety

of SAP applications and with more than

1,400 productive customers worldwide.

The many years experience of handling

extensive enterprise information have

been incorporated in the design of the

PBS nearline solution. By integrating mo-

dern column-based database technolo-

gy, signicant improvements have been

achieved during the processing of large

data volumes. The solution can ideally

be used in combination with traditional

databases and the new SAP HANA.

This enables the database size and the

hardware and software costs associated

with it to be better controlled.

Strategic Partnership

InformationLifecycle Management with PBS CBW NLS IQ

Figure 2: Data Storage in SAP BW in different Data Storages

Figure 3: Data Reduction of an SAP NetWeaver BW System using PBS CBW NLS IQ

S AP Ne tWe ave r B W S AP Ne tWe ave r B W

SAPDB / HANA

SAPDB/HANA

PBSCBWNLSIQ

NearlineDatabase

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l n, h in r n rlin - i h r r l n ll.

The starting point for ILM in SAP BW

systems is shaped by the various

requirements regarding data storage

and data access during the complete

lifecycle of the information. Current

information that is accessed frequently

is stored in the SAP BW database. If

HANA technology is used for this the

data can be processed at an extremely

high speed. With increasing age, the

access rate to the data decreases. This

is why it is recommended to move the

information (archiving) into nearline

storage (see gure 2). Afterwards,

extremely old data that is accessed

seldom, or even not at all, should then

be transferred to the data archive.

PBS CBW NLS IQ uses the column-

based database Sybase IQ as the near-

line storage for SAP BW or for SAP BW

on HANA respectively. The high degree

of compression of the column-based

database results in a considerable re-

duction in the data volume (see gure

3). The column-based database tech-

nology of Sybase IQ enables extremely

fast access to the nearline data.

In this way the following is enabled:

Transfer Data into the Nearline Storage

To transfer data of an InfoProvider into

the nearline storage, you create a data

archiving process in the SAP Admini-

strator Workbench and specify the

respective nearline connection in the

performance is increased and at

the same time the costs for data

storage are reduced in SAP BW sys-

tems with traditional DB technology,

the size of the working memory

being used is reduced c onsiderably

enabling huge cost savings for

licenses and hardware costs for

SAP BW on HANA.

Figure 4: Data Archiving Process to transfer Data into Nearline Storage (Administrator Workbench, Transaction RSA1)

Figure 5: Monitoring and Management of Data Transfer into Nearline Storage

general settings (see gure 4).

Afterwards, you can transfer the data

into the nearline storage and monitor

the transfer (see gure 5).

SAP NetWeaver BW

Database/

SAP HANAArchiveNearline

Storage

Current

Data

Less

current

Data

Less

or no

Accesses

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Access to Informationin Nearline Storage

Figure 6: Simultaneous Evaluation of Data from BW Database and Nearline Storage in a Query

As an example for integrated nearline

access, the analysis of data from the

current and from the previous year

should be considered. The current

data is located in the BW database

(traditional or SAP HANA). The data

from the previous year is located in

the nearline database. Access to the

data from the previous year is per-

formed via the SAP nearline interface

and via PBS nearline services. The cur-

rent and the nearline data is displayed

together in the query (see gure 6). To

do this, you only need to dene in the

properties of a query that an evaluati-

on of the nearline storage should also

take place.

In addition to the integrated MultiPro-

vider accesses, the PBS solution provi-

des additional data access possibilities

via virtual InfoProviders, for example, to

accelerate combined query accesses Figure 8: Reduction of Runtimes for a Query by using PBS CBW NLS IQ in a traditional SAP BW Database Environment

Figure 7: Creation of a virtual InfoProvider in the Administration Cockpit

Abbildung 5: Anmeldung an PBS ECS

With PBS CBW NLS you can accelerate

query accesses in comparison to a BW

system with traditional DB technology.

For example, acceleration by a factor

of 26 (without aggregates) or by factor

4 (with aggregates) respectively can

be achieved by a fast, column-based

evaluation in the nearline database. In

this actual customer example, the run-

time of a query (without aggregates)

is reduced from 416 seconds or 71

seconds (with aggregates) respectively

to 16 seconds (see gure 8).

InfoCube with 17 millions of Data Records

Online DB with or without Aggregates

DB without Aggregates

DB with AggregatesCBW NLS IQ

x 26

x 4

400

200

0

Improved Query Access

with CBW NLS IQ

416 s 71 s 16 s

to master and transaction data. These

VirtualProviders can be generated in a

user-friendly manner in the PBS Admi-

nistration Cockpit (see gure 7).

BW QueryNLS and DB

Integration via

virtual

InfoProviders

InfoCubeData Store

Object

BW Database /SAP HANA

SAPNearlineProvider

MultiProvider

PBSNearline Services

NearlineStorage

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The PBS nearline solution also enables

the direct indexing and evaluation of

SAP ADK archives. This allows archive

data to also be evaluated directly with

BW queries.

Figure 9: Structure of Nearline Solution PBS CBW NLS IQ

A monitor that enables you to check

the complete nearline system via the

BW administration interface is availa-

ble in the BW system. This supports

easy administration of the nearline

server and of Sybase IQ (see gure 10).

Architecture and Administration

SAP NetWeaver BW

PBS NearlineServer

SAPADK

Archive

SybaseIQ

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i

i li l i I

SAP Java

Connector

Nearline Services

Nearline Tools

PBS CBW NLS IQ

Figure 10: Administration of PBS CBW NLS IQ with Nearline Monitor

Reductionof the Investment and Operating Costs

Figure 11: Reduction of Data Volume from 2.5 to 1.08

TB using PBS CBW NLS IQ

A third of the data (0.83 TB) remains in

SAP BW. By compressing the data in

the nearline database by 85 per cent,

you can reduce a data volume of 1.67

TB (this is two thirds of the originally

available data) to 0.25 TB so that the

total data volume comprises 1.08 TB

(see table 1).

You can signicantly reduce both the

operating costs of an SAP BW system

as well as the investment costs for

the implementation of an SAP BW on

HANA with the PBS nearline solution.

Consider an SAP BW system with a

data volume of 2.5 TB. With the help of

PBS CBW NLS IQ it is generally pos-

sible to move two thirds of the data

from the SAP BW system into the

nearline storage (see gure 11).

SAP BW

Data volume:

2.5 TB

Data volume:

0.83 TB

Data volume:

0.25 TB

Data volume:

1.08 TB

SAP BW Nearline Database

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doubled when using a mirror system.

By continuously transferring data into

the nearline storage, the growth of the

main memory when operating SAP

BW or SAP HANA respectively can be

kept better under control resulting in

further cost benets.

Table 1: Reduction of annual operating costs by more than 50%(Assumption: 1 GB memory space costs 25/year)

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Data volume [TB] Annual

Operating Costs [Euro]

Annual

Operating Costs [%]

2.5 62,500 100

1.08 27,000 43

1.42 35,500 57

Saving

Consequently, with a 2.5 TB system you

can achieve yearly cost savings of 57

per cent through needing less

memory space. The yearly savings add

up when a mirror system is being used.

As a result of drastically reducing the

data volume in your SAP BW system

you only need to calculate with an

in-memory space requirement of

256 GB instead of with an in-memory

space requirement of 512 GB when

performing planning for an SAP BW on

HANA. The savings made are

-

Data volume SAP

BW [TB]

RAM for SAP HANA[GB]

2.5 512

0.88 256

1.67 256

After removing two thirds of the data,

the following initial situation applies

for the conversion of an SAP BW sys-

tem to SAP BW on HANA (table 2):

Saving

Table 2: Reduction of investment costs for an SAP BW on HANA

by reducing the in-memory memory space requirement

On the one hand, PBS NLS IQ consists

of software components that are

installed in the SAP BW system. These

are responsible for transferring the

data and enable query searches. In

addition they provide an administra-

tion tool. On the other hand, PBS NLS

IQ consists of the PBS nearline server

implemented in Java that ensures the

communication between SAP BW and

Sybase IQ (see gure 9). For this, the

PBS nearline server communicates

with the SAP system via the SAP Java

Connector.

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Benets

With the PBS nearline solution you can

implement your ILM strategy for SAP

BW or for SAP BW on HANA

respectively.

Information that is required urgently

is always available to users quickly

and in full.

Onl ine and nearline data is comple-

tely integrated without the user

having to change the way they work

in the system.

Considerable cost savings are

achieved when saving data since

the volume of data is drastically

reduced due to the extremely high

degree of compression.

Very fast access to data is even

guaranteed in the case of high data

volumes thanks to the use of

column-based data storage.

Easy administration and fast load

processes reduce the effort for the

system administrator.

Compared to the SAP standard,

additional functions enable the

archiving of PSA tables as well as

the generation of snapshots for

master data, hierarchies, and

InfoCubes/DSOs.

Long-term use is ensured based onits extremely good suitability in the

case of large data volumes (Big

Data).

User satisfaction increases due to

the improved system performance.

Controls the growth of the main

memory when using SAP BWA or

HANA.

The PBS nearline storage solution

with the Sybase IQ analytics server

(PBS CBW NLS IQ) supports all SAP

BW releases from 3.x up to SAP

HANA. You can nd more detailed

information on suitable operating

systems/platforms in the respective

product specication that you can

nd in the Media Center section on

our website.

The PBS license model depends on

the total amount of named SAP BW

users. We offer a hotline support to

PBS customers with a maintenance

contract. PBS focuses on the soft-

ware development. We cooperate

with many partner companies for im-

plementation and consulting services.

Most partner companies also provide

PBS software licenses and rst level

support. You can nd a complete

partner list on our website at www.

pbs-software.com

Licensing


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PBS Software is a leading provider of add-on software for

SAP solutions for areas like data archiving, extraction and

storage, as well as system closings. The company has been

known to be an expert on complex, integrated data access

to both archived and nearline data in SAP applications for

many years. In addition to classical SAP data archiving, the

extensive PBS solutions also support the SAP BW-specic

nearline storage concept that enables completely new ILM

application scenarios together with the column-based ana-

lytics server Sybase IQ.

PBS develops pragmatic ILM tools in close collaborationwith SAP and supports the SAP ILM solution as an SAP

SOFTWARE SOLUTION PARTNER.

For further information: www.pbs-software.com.

PBS Software GmbH

Schwanheimer Strasse 144 A

64625 Bensheim, Germany

phone: +49 (0) 62 51 / 174 - 0

fax: +49 (0) 62 51 / 174 - 174

e-mail: [email protected]

www.pbs-software.com

Copyright 2012 PBS Software GmbH. All rights reserved. None of the elements of this brochure

may be reproduced or forwarded to other parties in any form or for any purpose without the written

permission of PBS Software GmbH. The information contained herein may be changed without prior

notice. Microsoft, Windows are registered trademarks of Microsoft Corporation. IBM, IBM DR550, IBM

TSM and SSAM are trademarks or registered trademarks of IBM Corporation. Linux is a registered

trademark of Linus Torvalds in the U.S.A. and other countries. UNIX is a registered trademark in the

U.S.A. and other countries, licensed exclusively through X/Open Company Limited. HP, HP-UX11 Apa-

che are trademarks or registered trademarks of Hewlett-Packard Company. EMC, EMC Centera are

trademarks or registered trademarks of EMC Corporation. Hitachi, Hitachi HCAP are trademarks or

registered trademarks of Hitachi Ltd. NetApp, NetApp Filer are trademarks or registered trademarks

of NetApp Corporation. Sybase IQ is a registered trademark of Sybase an SAP Company. PBS archive

add ons is a registered trademark of PBS Software GmbH. SAP, R/3, SAP NetWeaver, SAP NetWeaver

Business Warehouse, SAP Industry Solutions and other SAP products and services mentioned herein,

as well as their respective logos, are trademarks or registered trademarks of SAP AG in Germany

and other countries. All other product and service names mentioned are the trademarks of their res-

pective companies. The information contained in this document is solely for informational purposes.

PBS Software GmbH shall not be liable for errors or omissions with respect to the materials. The only

warranties for products and services are those that are set forth in the express warranty statements

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additional warranty.

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