make your bw fit for the future
DESCRIPTION
From our experience, performance is the most critical issue in SAP BW. Thus, those are answered with new technologies such as BWA or SAP HANA. Right data management enables you to bring your BW to the top form even before you decide to invest in new technologies, especially with nearline storage and housekeeping.TRANSCRIPT
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.
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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
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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
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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 ???
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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
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Manage query performance
1. Use BIA or go directly to HANA.
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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 Avoid outdated indexes and database statistics.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.
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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
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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.
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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.
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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.
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Thank You!
Goetz Lessmann Gregor Stoeckler CEO
DataVard Inc.
CEO
DataVard GmbH
© 2013 DataVard GmbH # 14
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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