quick start with data federator xi

8/8/2019 Quick Start With Data Federator Xi

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QUICK START WITH DATA FEDERATOR XI 3.xSession 813

Pierpaolo Vezzosi, Group Product Manager, Semantic Layer


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2010 SAP AG. All rights reserved. / Page 2

AGENDA

1.Data Federator overview

2.Data Federator and the suite

3.Data Federator modeling and transformations

4.Roadmap

5.Conclusion

6.Q & A


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AGENDA

1.Data Federator overview2.Data Federator and the suite


4.Roadmap

5.Conclusion

6.Q & A


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DATA EXPLOSIONA natural result of modern business and the internet

281 billion gigabytes of digital data was

created in 2007 which is equal to 5million times the information in all booksever written

By 2011, data will grow 10 times theamount it was in 2006

Data is scattered across the enterprise

Redundant and inconsistent data isubiquitous

Users can rarely perform cross-functional analysis

Source: The Diverse and Exploding Digital Universe IDC, March 2008


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CUSTOMER PAINS

Cross functional analysis

What is the difference between your production andanalysis data model?

How many marts do you have? Do you have information silos?

Difficult to integrate disparate sources

Do you have on-premise and on-demand sources? How do you integrate your information systems?

Time to solution What is the duration of your last data warehouse

project? What is your process to add a new source of

information to your data warehouse? How do you deal with ad-hoc marketing campaign?

Real time information What is the latency of your information? Do you need real time information?


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WHAT IS DATA FEDERATOR?

Multi-source Query Engine

SQL generator Optimizer (Optimize then re-write optimally native statements)

Brokerage (combine source result sets)

Uniform query mechanism independent of the sources

Pull data on-demand

Data Modeling

Design any data models

Transformations (support all the relational transformations)

Map sources to target tables

Connectors

Connect to relational and non relational systems

Databases, flat files, SAS, SAP BW, Web Services / XML


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DESIGN PHASEDESIGN A UNIFIED VIEW

Connect to sources

Extract metadata

Relational and nonrelational

Data model suitedfor analysis

Data transformations

XML to relationalconversion

Web Services

SAP 2009 / Page 7




Design a data model

Business oriented Abstract physical

implementation

Flexible

Connect to sources

Extract metadata





Web Services

SAP 2009 / Page 8




Design a data model

Business oriented Abstract physical

implementation

Flexible

Transform data Business rules

Case statements

Align incompatible ID

Merge lists

Connect to sources

Extract metadata





Web Services

SAP 2009 / Page 9



RUNTIME PHASEQUERY ANY SOURCES UNIFORMLY

Optimize

Generate an optimalexecution plan

Execute

Submit sub queries

Delegate computation tosources

Execute SQL operationsnot supported by sources

Adapt

Generate native SQL Generate function calls

from SQL (Web Services,ABAP)

Submit sub queries

SQL to WS calls

Query using SQL

Web Services

SAP 2009 / Page 10



DATA FEDERATOR ARCHITECTURE

Receive SQL from Client tool

ODBC or JDBC drivers




Optimize the query execution plan






Rewrite the SQL in native source syntax andsend each request to the sources





Receive data from each source




Synchronize data, aggregate it and send it tothe client tool




AGENDA


2.Data Federator and the suite3.Data Federator modeling and transformations

4.Roadmap

5.Conclusion

6.Q & A



MULTI-SOURCE UNIVERSEHOW TO CONNECT UNIVERSE TO MULTIPLE SOURCES

Universe Data Federator integration

WebI Reports Universe Data Federator SAP ERP(Labs)

SAP BW

Teradata

Data Federator Engine

Connect to multiple relational and non-relational systems

Optimize, generate and delegate SQL execution

Join multiple sources effectively (brokerage)

SAP 2009 / Page 17



Universes

PRODUCT INTEGRATIONUNIVERSE AND DATA FEDERATOR SEMANTIC LAYER




Web Services

Data Federator

Business Layer



MULTI-SOURCE UNIVERSE



AGENDA



3.Data Federator modeling and transformations4.Roadmap

5.Conclusion

6.Q & A



DATA FEDERATOR MAPPING RULESDATA MODELING TARGET TABLE

SAP 2009 / Page 21

Design any data models Top down or bottom up approaches

Top down

Design your tables independently of your sources

Bottom up

Leverage the source schema (copy database schema)



DATA FEDERATOR MAPPING RULESDATA MODELING TARGET TABLE

SAP 2009 / Page 22



DATA FEDERATOR MAPPING RULESMAP SOURCES TO TARGET

TPCR

S1:CUSTOMER S2:NATION S3:REGION

TPCRO

FRENCH_CUSTOMER

SAP 2009 / Page 23

Sources

Relationships

(inner and leftouter joins)

Mapping rule

Target table



DATA FEDERATOR MAPPING RULESPRE AND POST FILTERS

SAP 2009 / Page 24

Pre filters Filter data before entering Data Federator

Post filters

Filter data after the relationships

S1:CUSTOMER S2:ORDER

Pre filters

Post filters




SAP 2009 / Page 25




SAP 2009 / Page 26


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DATA FEDERATORDATA FLOW

SAP 2009 / Page 27

Target tableColumn = f( source columns)

Post filter

RelationshipsInstantiate the joins

Pre filter(in the source)

Source tables

Mapping rule


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SUPPORTED SOURCES AND PLATFORMS

Data Federator supported platforms

Data Federator online user guides

Supported SourcesOracle Redbrick

DB2 Generic ODBC

SQL Server Generic JDBC

MS Access Text files

MySQL 5.x XML

Teradata Web Services

Sybase IQ & ASE SAS

Netezza SAP BW

Informix

Supported PlaformsWindows

Solaris

AIX

Suse Linux

Red Hat Linux
http://service.sap.com/bosap-supporthttp://help.sap.com/businessobject/product_guides/boexi3SP1/en/xi3_sp1_df_userguide_en.pdfhttp://help.sap.com/businessobject/product_guides/boexi3SP1/en/xi3_sp1_df_userguide_en.pdfhttp://service.sap.com/bosap-support


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DATA FEDERATOR CONNECTOR FOR SAP BWQUERY SAP BW USING SQL (BYPASS THE OLAP ENGINE)

BOBJ/SAP End-to-End Solution

Information DemocracyWeb Intelligence

(uses for analysis and reporting relational metaphor)

Relational Universes(business objects defined using SQL)

NetWeaver BI

SAP NetWeaver 7.01

Enterprise Data Warehouse

SAP NetWeaver 7.01 BW OLAP Engine

BEX / Pioneer(OLAP metaphors)

MDX Queries SQL Queries

Data Federator

OLAP Universes(business objects

defined using MDX)


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DATA FEDERATOR WEB SERVICESMASH-UP WITHOUT PROGRAMMING

Standard model (Relational)

Automatically convert the XML returned by a Web service into a relational model

Combine Web services by joining tables

Standard query mechanism (SQL)

Query Web services using SQL (fully compatible with tools from Business Objects)

Design to query multiple sources (Unified view)

Optimized to inject parameters dynamically

Scalable and distributed architecture

Design tool to define relationships between tables

Can be used by power users (Non-IT)

No development skills required to createWeb Services mashups


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AGENDA




4.Roadmap5.Conclusion

6.Q & A


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Safe Harbor Statement

This document is intended to outline future product direction, and is not a commitment by SAP

to deliver any given code or functionality. Any statements contained in this document that are

not historical facts are forward-looking statements. SAP undertakes no obligation to publicly

update or revise any forward-looking statements. All forward-looking statements are subject to

various risks and uncertainties that could cause actual results to differ materially from

expectations. The timing or release of any product described in this document remains at the

sole discretion of SAP. This document is for informational purposes and may not be

incorporated into a contract. Readers are cautioned not to place undue reliance on these

forward-looking statements, and they should not be relied upon in making purchasing decisions.

SAP BUSINESSOBJECTS DATA FEDERATOR


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Agile integration

Relational sources

Web Services

XML and flat files

SAS

SAP BW SQL connector

SQL access to BW Automatic Universe

generation

Optimization and performance

Query optimization algorithms

Server balancing

SAP ERP connector

Infosets

SAP queries

RPC calls

SSO

End to end SSO to SAP BW

and SAP ERP Sizing guide

64 bit connectivity for all sources

SAP BUSINESSOBJECTS DATA FEDERATOR

Data Federator XI 3.0

up to SP2

Multi Source Universe

(Federation in BOE)

End Q3 2010

Current

BOE integration

Query Server as a BOEservice

CMC integration

Multi-Source Universe (MSU)

Federation desing within theinformation design

tool(basic data integration, nodata modeling)

Engine update

Support native DB syntax

New query optimizations

Major release2010 Ramp Up

Planned functionality only. SAP reserves the right to change planning.

Data Federator XI 3.0 SP3

AGENDA


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AGENDA




4.Roadmap

5.Conclusion6.Q & A


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DATA FEDERATOR SWEET SPOTS

Ad-hoc SAP BW reporting

Scalable WebI deployment on top of SAP BW

Federate SAP BW with other sources

Agile data integration

Flexible data model

Prototyping, faster time to solution, ad-hoc marketing campaigns

Cross functional analysis

Supercharge Data Warehouse (add real-time dimension/measure)

Combine on-demand and on-premise information

Combine BI and SAS information

Operational BI

Huge data source volume

Real-time query to operational systems (data latency is not an option)


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CONCLUSION

Data Federator is the solution of choice for agile BI data integration

Real time multi-source reporting

Integrate on-demand information into BI applications

Prototyping

Data Federator extends and adds value to our offering Uniform access and query to your information systems

Extend classic BOBJ products

Multi-source Universe, access to non relational systems, SAS, XML and Web Services

Pervasive Federation

Creative analysis comes from combining sources (connected the dots)

Vertical vs. horizontal access to information (break information silos)

All your information cannot be stored in one place


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Questions


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Thank you!

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