Download - Make your BW fit for the future

Your BW !t for the future Gregor Stoeckler & Goetz Lessmann, DataVard

SAP TechEd Las Vegas

©  2013 DataVard GmbH # 2

What you can expect

During this presentation we will: §  Reveal what makes the best BW

systems the best

§  Give you tangible ideas, hints and tips that will help you get your system in shape

§  Ask you for your thoughts and ideas

§  Make use of some German humor.

§  Yes it does exist.


5 categories of BW !tness

Based on an in-depth analysis (BW Fitness Test) of 150+ BW systems we identified:

1.  System robustness

2.  Data quality

3.  Performance: load and query

4.  Information lifecycle management: managing data from cradle to grave

5.  Germans don't always count well


Increase performance and manage data volumes

n  Reduced the system‘s size with Nearline Storage (Outboard™)

n  ETL optimization service using DataVard CanaryCode

n  Solved the issues with process chains & sped up data load processes

n  Currently data is ready when needed

ETL optimization

saved 59% of loading time

BW system size reduction from 3,3 TB to

2,3 TB

Savings in data storage and hosting

cost

Increased users

satisfaction

Here’s how DataVard helped Randstad

Nearline Storage implementation & ETL optimization


System Robustness

Security

§  ABAP code

§  Authorizations

§  Basis parameters

BW Batch processing

§  Failing ETL load processes

§  Analysis of critical path

Dumps

§  Average no. of short-dumps per month is ???


Manage data quality

Technical data quality

§  Regularly check and remove unused SIDs, DIMIDs, Master data

Duplicates

§  Root cause analysis instead of band aiding (BW only duplicates? Multiple source systems? Duplicates on source systems?)

Semantical data quality

Manage data quality in source systems


Manage query performance

1.  Use BIA or go directly to HANA.


Manage query performance

1.  Avoid outdated indexes and database statistics.

2.  Build secondary indexes on DSOs to speed up the data selections.

3.  Build aggregates to improve the query performance and check size & utilization.

4.  Compress InfoCubes regularly. u  Initial compression may hurt, but is worth it!

5.  Consider line-item dimensions in case of large dimensions u  Initial dimensional remodeling may hurt, but is worth it!

6.  Use partitioning for InfoProviders based on time characteristics to reduce the data volume in each InfoProvider. u  As of BW 7.3 the Semantically Partitioned Objects can be used. u  Before 7.3 “SPO” can be implemented manually

7.  Consider the Near-Line archiving of rarely used (“cold”) data to reduce data volume.


USER

SAP BW Information Lifecycle Management

BW Accelerator / SAP HANA

HOT

WARM

COLD

current

0-2 years

>2 years

Nearline Storage §  Data stored in a cost

optimized way §  95% compression §  Data remains readily

available

The art of managing your data in line with its business value


5%

15%

15%

9% 11%

32%

5% 5% 3% Master data

Temporary data Other data PSA data Changelog data ODS data Cube E data Cube F data Cube D data

Typical distribution of data in a BW system

Comments:

§ Data you report on is only 13-17% of the system size

§  Temporary data is subject to housekeeping (BALDAT, RS*DONE, ...)

§ Use the HANA sizing report as a 1st indication (OSS note 1736976).

§ Create a plan from data load to leave.


How the best manage data growth

From cradle to grave Manage cold and old data using Nearline Storage

Biggest potential in DSOs, but also helpful in Cubes

Build a detailed housekeeping plan and adhere to it. If possible automate.


Conclusion

Always travel lightweight

Manage data actively in your production and non-production systems

Plan and do housekeeping

Whether you plan to go to HANA or not: the preparation brings many benefits already

..

Don’t be shy and ask for a personal fitness coaching at booth 115.


Thank You!

Goetz Lessmann Gregor Stoeckler CEO

DataVard Inc.

[email protected]

CEO

DataVard GmbH

[email protected]


Copyright DataVard GmbH. All rights reserved.

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of DataVard GmbH. The information contained herein may be changed without prior notice. DataVard and OutBoard are trademarks or registered trademarks of DataVard GmbH and its affiliated companies. SAP, R/3, SAP NetWeaver, SAP BusinessObjects, SAP MaxDB, SAP HANA 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 respective companies. Data contained in this document serves informational purposes only. National product specifications may vary. These materials are provided by DataVard GmbH and its affiliated companies (“DataVard") for informational purposes only, without representation or warranty of any kind, and DataVard shall not be liable for errors or omissions with respect to the materials. The only warranties for DataVard products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty.

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