Building a multi-source universe
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September 10-13, 2012 Orlando, Florida Building a multi-source universe Pierpaolo Vezzosi © 2011 SAP AG. All rights reserved. Public 1 Learning points Learn the details of the multi-source universe technology See how to build a simple multi-source universe Discover how to optimize a multi-source universe © 2011 SAP AG. All rights reserved. Public 2 Agenda Definitions and architecture What is the multi-source universe (MSU) technology Architecture Differences with “Data Federator XI3.0” Building a universe Connections for MSU Data foundations for MSU Business Layers for MSU Optimizing a multi-source universe Optimization algorithms The data federation administration tool © 2011 SAP AG. All rights reserved. Public 3 Definitions and architecture The multi-source universe value proposition The new BI4.0 multi-source universe (MSU) technology provides the ability to create a universe federating data across multiple data sources. Built on the great technology of “Data Federator XI3.0”, it was designed for No additional license: the functionality is included in the BI platform licenses No additional servers: the technology is installed with the BI plaftorm and administered along with other servers in the CMC No additional desing tools: Information design tool replaces the workflow of Data Federator designer. Multisource is just a radio button away © 2011 SAP AG. All rights reserved. Public 5 MSU architecture DB DB DB © 2011 SAP AG. All rights reserved. Public 6 MSU architecture DB DB DB Information design tool Query server WebIntelligence Crystal Reports Enterprise Dashboards Explorer © 2011 SAP AG. All rights reserved. Public 7 MSU architecture DB CMS session DB DB © 2011 SAP AG. All rights reserved. Public 8 Architecture DB CMS session DB DB Information design tool Query server WebIntelligence Crystal Reports Enterprise Dashboards Explorer © 2011 SAP AG. All rights reserved. Public 9 Differences with Data Federator XI3.0 Data Federator XI3.0 deployment SAP BOBJ tools Universe DB © 2011 SAP AG. All rights reserved. DB DB Other data integration needs Public 11 BI 4.0 Multi source universe deployment BI 4.0 platform UNX Universe DB DB SAP BOBJ tools BI 4.0 DB © 2011 SAP AG. All rights reserved. Universe MSU= multi-source Public 12 Available deployments with BI4.0 and DF XI3.0 Data Federator XI 3.0 is still shipped for existing customers and specific use cases not yet covered by MSU BI 4.0 platform UNX Universe SAP BOBJ tools BI 4.0 UNV Universe Direct SQL access © 2011 SAP AG. All rights reserved. Universe MSU= multi-source Other data integration needs Public 13 Data Federator XI3.0 and MSU BI 4.0 differences Technical details DF 3.0 MSU Separate license Yes No Separate, standalone install Yes No Access with SQL from external applications Yes No Connect XI3.x universes (UNV) Yes No Use web services or to XML files as data sources Yes No Use complex mapping rules Yes Limited* Use native database syntax No Yes** Create BI 4.0 universes (UNX) No Yes Design workflow in the information design tool No Yes * Mapping rules, data cleaning and lookup mechanisms in MSU are limited to SQL statements which can be inserted in derived tables or calculated columns ** Native database syntax can be used in derived tables defined over a single source in an MSU universe Migration constraints: •In BI4.0 it is not possible to migrate an existing DF XI3.0 project to the new technology •It is not possible to build UNX universes on top of a DF XI3.0 project © 2011 SAP AG. All rights reserved. Public 14 Building a universe Create a connection for a multisource universe LIVE DEMO OR VIDEO © 2011 SAP AG. All rights reserved. Public 16 Create a data foundation for a multisource universe LIVE DEMO OR VIDEO © 2011 SAP AG. All rights reserved. Public 17 Create a business layer for a multisource universe LIVE DEMO OR VIDEO © 2011 SAP AG. All rights reserved. Public 18 The data federation administration tool The data federation administration tool (DFAT) DFAT is installed in the BI4.0 client toolset. You can use it to: Find bottlenecks Is there something I can do at the database server level to improve performance? Which database server is running slow? Which query is taking too much time to execute? Why? Is there something I can do to improve it? © 2011 SAP AG. All rights reserved. Public 20 The data federation administration tool (DFAT) DFAT is installed in the BI4.0 client toolset. You can use it to: Find bottlenecks Understand the query plan Can I push more computation down to the database engine? Where is the query executed? What database statistics will improve the query plan definition? © 2011 SAP AG. All rights reserved. Public 21 The data federation administration tool (DFAT) DFAT is installed in the BI4.0 client toolset. You can use it to: Find bottlenecks Understand the query plan Fine tune the query server settings Can I optimize the memory of my machine for MSU? © 2011 SAP AG. All rights reserved. Public 22 The data federation administration tool (DFAT) DFAT is installed in the BI4.0 client toolset. You can use it to: Find bottlenecks Understand the query plan Fine tune the query server settings Perform trial and error tests What happens to the query execution if I change my SQL or some parameters? © 2011 SAP AG. All rights reserved. Public 23 Fine tuning MSU with the Data federation administration tool LIVE DEMO OR VIDEO © 2011 SAP AG. All rights reserved. Public 24 Optimizing a universe The MSU optimization algorithms The MSU technology provides multiple built-in optimization algorithms Two goals Push execution to databases as much as possible Reduce data transfer as much as possible © 2011 SAP AG. All rights reserved. Public 26 Techniques to optimize MSU execution Gather database statistics Fine tune connectors and the query server Define an optimized data foundation © 2011 SAP AG. All rights reserved. Public 27 Techniques to optimize MSU execution Gather database statistics Fine tune connectors and the query server Define an optimized data foundation © 2011 SAP AG. All rights reserved. Public 28 Gathering statistics to let the optimization algorithm understand how to work Statistics can enable semi join optimizations LIVE DEMO OR VIDEO © 2011 SAP AG. All rights reserved. Public 29 Techniques to optimize MSU execution Gather database statistics Fine tune connectors and the query server Define an optimized data foundation © 2011 SAP AG. All rights reserved. Public 30 DFAT parameter example MAX_CONCURRENT_MEMORY_CONSUMING_QUERIES Defines the number of queries that consume memory that can run concurrently If you have many large queries: • Set a low value be necessary memory will be dedicated to few queries; no disk memory swapping will If you have many small queries: Set a high value © 2011 SAP AG. All rights reserved. more queries will be able to execute in fast memory Public 31 Techniques to optimize MSU execution Gather database statistics Fine tune connectors and the query server Define an optimized data foundation © 2011 SAP AG. All rights reserved. Public 32 Optimizing the data foundation to set up “intelligent connections” Intelligent connections use a table field to chose on which database the query has to be run. It improves performance as only the needed database are queried. 1. Define a derived table retrieving data from all the necessary sources 2. Add a field with a fixed, discriminating value by source 3. When querying, use the discriminating field as a filter Multi-source universe US © 2011 SAP AG. All rights reserved. JP Public 33 Setting up “intelligent queries” Example JP Kaori JP Nobuko Select *, ‘US’ as country from Source1.US_Customers US Tim Union US Jack US Mary Define a derived table as: Select *, ‘JP’ as country from Source2.JP_Customers Then define an object on the Country field and use it as a filter. When filtering for US, only source1 will be queried, source2 will be skipped. If no filter is applied, both sources will be used. © 2011 SAP AG. All rights reserved. Public 34 Where to find more information In the data federation administration guide: 20+ pages of optimization techniques 20+ pages explaining how to set server and connector parameters © 2011 SAP AG. All rights reserved. Public 35 Learning points In this session we have: Learned the details of the multi-source universe technology Seen how to build a simple multi-source universe Discovered how to optimize a multi-source universe Now it is time for QUESTIONS © 2011 SAP AG. All rights reserved. Public 36 Thank You! 0610 Building a multisource universe Contact information: Pierpaolo Vezzosi [email protected] Thank you for participating. Please provide feedback on this session by completing a short survey via the event mobile application. SESSION CODE: 0610 Learn more year-round at www.asug.com © 2011 SAP AG. 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 SAP AG. The information contained herein may be changed without prior notice. Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors. 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