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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
il i i i i li
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4
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
Fi r : t ti t r t i L I
-
n in r r l n i h n k ll n h j hr mi rj hr n
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n i h r in , in n i h i n rj h r im rlin - i h r.
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rlin - r i . n r r r n i k ll n n i rlin - n m in m
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-
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r ri i rj hr n r l r i rlin - hni ll n r
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n i i h il n . r h n i n r in n i n h n in r r
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
li
i
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i i i i
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6
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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8
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
i i i i I i i i l
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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l i l ii
l i i
i i - i
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)
i i l i I
l i l ii
l i ii i - i
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.
8
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0
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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i i i i I I I -
i I i i i i i l i i I
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i i i i i i i i
il i i I i i I -
i i i i
I l i i i i ll i i l
i i i ll i i
i i i i i i i i i l l i i lll li l i i i i l l i
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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
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TSM and SSAM are trademarks or registered trademarks of IBM Corporation. Linux is a registered
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U.S.A. and other countries, licensed exclusively through X/Open Company Limited. HP, HP-UX11 Apa-
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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
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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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