DataVard OutBoard™
Claricent, Inc.
© 20082
Data volume growth is alarming!
47% of respondents ranked data growth in their top three challenges.
– Gartner, User Survey Analysis: Key Trends Shaping the Future of Data Center Infrastructure Through 2011
Average annual growth rate 40% to 60% per year
– Computerworld, 2010
© 20083
Data growth is eating up your storage!
Buying more storage does not solve the problem
The larger your DB, more timeis needed for backup & recovery, system copies, and upgrades.
The larger your DB the more performance is impacted
… and if that was not enough…
© 20084
Productive data is like an iceberg
Data in
productiveBW
1. Data on disc
2. data center
3. Backups
Our experience:
1 GB in PROD
takes
10 - 18 GB
in total storage
Manage the root cause
© 20085
The solution: NearLine Storage with Outboard
Fight the root cause
Outboard frees capacity on your DB. Immediate relief of 30+%.
Slow down data growth automatically
Implement a smart ILM strategy: cold data is compressed in Outboard (avg. 95%)
Profit from effects
Reduce storage costs
Save time for backup & recovery, system copies and upgrades
Improve performance for hot and warm data
&
© 20086
SAP BW Information Lifecycle Management with OutBoard
USER
BW Accelerator
OutBoard™
HOT
WARM
COLD
Newest data
0-2 years
>2 years
Data stored cost-optimized and audit-proof
Compressed by 95% Available anytime for
reporting and loading
© 20087
SAP BW Architecture with Near-Line Storage
Data
Flo
w C
on
tro
l /
Pro
ce
ss
Ch
ain
s
Enterprise Query, Reporting & Analysis
Enterprise Data Warehouse
BW
Acce
lera
tor
Me
ta D
ata
Rep
os
ito
ry /
Do
cu
me
nts
Info
Ob
jec
ts/
Ma
ste
r D
ata
Near-
Lin
e S
tora
ge
DataSource / PSA
Data StoreObject
(volatile) Data Warehouse Layer (historical)
SAP NLSInterface
(Architected)Data Marts
Analytical Engine
© 2008
OutBoard™ Cockpit & Object Browser
The OutBoard™ cockpit serves as central access point to all OutBoard™ functions.
The Object Browser gives a full overview on all InfoProviders & PSAs stored in OutBoard™.
© 2008
OutBoard™ - Compressed vs. Uncompressed data volume
Actual customer example of compression ratio
© 2008
Cost savings with a live example
0
0.5
1
1.5
2
2.5
2011 2012 2013 2014 2015
Linear growth
No Outboard
With Outboard Lin
DB capa
0
0.5
1
1.5
2
2.5
3
3.5
2011 2012 2013 2014 2015
Exponential growth
No Outboard exp
With Outboard exp
DB capa
Assumptions
• Data growth 30% p.a.
• Avg. compression rate 90%
• Immediate relief 40%
• Data retention time2 years
© 200811
No-stress purchasing and implementation
1 day installation on existing system
– 10 days consulting incl. analysis and support
1 Productive system = 1 Price
– OutBoard™ is priced per productive system, not by data volume in NLS or users
No separate hardware or database
“Try before you buy” (1 month)
© 200812
OutBoard™ in a nutshell
World-class Compression Reduces Data Growth
Only warm data in online database. Cold data is compressed by up to 95% at full availability.
Immediate relief of 30+%
100% Integrated in SAP: One Technology, No Risk!
No 3rd party database (e.g. Sybase) required Technically simple architecture reduces risk, simplifies
operation and guarantees efficient operation SAP Netweaver certified
Improve System Operation and Performance
Reduced database improves performance of BW reporting Backup & restore times are reduced Improves disaster recovery due to minimized data in one
DB
Fair & Simple Pricing
Easy installation and operation with minimal training required
No additional software or hardware required Simple pricing per production system (instead of per-user) No hidden cost
Outboard 2.0Complete Data Management and
HANA support
© 200814
Introduction
SAP HANA as an in-memory solution offers undreamt-of possibilities, in particular by the extreme acceleration of the loading processes.
By the high cost of operation and the acquisition of HANA, we see a functional gap: data can be kept only “in memory”.
We recommend to close this gap through a combination of near-line-storage (NLS) and a smart storage management solution.
14
© 200815
Outboard 2.0 – Data Management with HANA
Data
Ag
ing
Nea
r-L
ine S
tora
ge
Business Warehouse
SA
P N
LS
Inte
rface
StorageMgmt.
SAP cluster tables
File / Cloud
External / Remote
DB
Native to Sybase IQ & MaxDB
Remote DB (via RFC)
File Corporate
Cloud
To accommodate a variety of customer needs in terms of reporting speed and TCO reduction we offer a range of
storage layers:
1. SAP cluster tables for high compression and fast access. These tables will be stored in HANA
2. External DB: Sybase IQ & MaxDB native or Remote DB
3. File or Enterprise cloud: delivers the best TCO and allows for maximum flexibility
4. At the end of the lifecycle data can be deleted from OutBoard automatically
HANADB
End of lifecycle Deletion
© 200816
Storage Layer Concept
Enables you to manage cost of storage inline with the value of information.
Data can be transfered to other layers managing various aging thresholds.
Example:
1.Up to 2 years in HANA
2.2-3 years in cluster tables on HANA
3.3-7 years in external / remote DB
4.7-15 years in file
5.15+ will be deleted
© 200817
Layer 2: External / Remote DB
Separate SAP Netweaver
Ne
ar-
Lin
e S
tora
ge
Business WarehouseStorageMgmt.
Sybase IQ
HANADB
MaxDB
DB2 ORACLE MS SQL
RF
C
This option allows you to reuse your existing DB licenses and know-how to store aged data in a cost efficient way.
Sybase IQ as a data smart store that allows for fast access while being operated at lower TCO than HANA
SAP MaxDB is a proven and robust technology that delivers superior TCO and seamlessly integrates into any SAP
landscape
Remote DB allows you store and read the data via RFC connection to/from a SAP NetWeaver (and the corresponding
underlying DB); this option best leverages existing investments and is operated at low cost
ODBC
© 200818
Layer 3: File / Cloud
Nea
r-L
ine S
tora
ge
Business WarehouseStorageMgmt.
HANADB
CloudFile
Server
This option delivers the best TCO and allows for maximum flexibility as storage can be allocated on
the fly.
Due to the slow access speed this option is recommended for very aged data only and for corporate
memory, PSA, change log.
© 200819 www.claricent.com twitter/claricent facebook/claricent
David A. Fox
Managing Principal
Consultant
T: 888-325-6496 x511
For more information please contact:
or go to http://claricent.com/outboard
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