Make your BW fit for the future
Post on 24-May-2015
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DESCRIPTIONFrom 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.
- 1. SAP TechEd Las VegasYour BW fit for the future Gregor Stoeckler & Goetz Lessmann, DataVard
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. 2013 DataVard GmbH#2 3. 5 categories of BW fitness 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 2013 DataVard GmbH#3 4. Heres how DataVard helped RandstadIncrease performance and manage data volumes Nearline Storage implementation & ETL optimization nReduced the systems size with Nearline Storage (Outboard)nETL optimization service using DataVard CanaryCodeBW system size reduction from 3,3 TB to 2,3 TB 2013 DataVard GmbHnnETL optimization saved 59% of loading timeSolved the issues with process chains & sped up data load processes Currently data is ready when needed Increased users satisfaction#4Savings in data storage and hosting cost 5. System Robustness Security ABAP codeAuthorizationsBasis parametersBW Batch processing Failing ETL load processesAnalysis of critical pathDumps Average no. of short-dumps per month is ??? 2013 DataVard GmbH#5 6. 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 2013 DataVard GmbH#6 7. Manage query performance 1. Use BIA or go directly to HANA. 2013 DataVard GmbH#7 8. 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 Avoid outdated indexes and database statistics. 2.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. uInitial compression may hurt, but is worth it!5. Consider line-item dimensions in case of large dimensions uInitial 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 uAs of BW 7.3 the Semantically Partitioned Objects can be used. Before 7.3 SPO can be implemented manually7. Consider the Near-Line archiving of rarely used (cold) data to reduce data volume. 2013 DataVard GmbH#8 9. SAP BW Information Lifecycle Management The art of managing your data in line with its business value USERcurrent0-2 years>2 years 2013 DataVard GmbHHOTBW Accelerator / SAP HANAWARM Nearline Storage Data stored in a cost optimized way 95% compression Data remains readily availableCOLD#9 10. Typical distribution of data in a BW system Comments: Master data 5%Temporary data5%3% 5% 15%Other data PSA data Changelog data ODS data15%32%Cube E data Cube F data Cube D data 2013 DataVard GmbH9% 11%# 10 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. 11. 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. 2013 DataVard GmbH# 11 12. ConclusionAlways 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 .. Dont be shy and ask for a personal fitness coaching at booth 115. 2013 DataVard GmbH# 12 13. Thank You!Goetz Lessmann CEOCEODataVard Inc.DataVard GmbHtalktogoetz@datavard.com 2013 DataVard GmbHGregor Stoecklertalktogregor@datavard.com# 13 14. Copyright 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. 2013 DataVard GmbH# 14