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Week 1 Unit 1:Introduction & E-ProcurementManagement Model
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Introduction & E-Procurement Management ModelCovered in This Unit
ContentIntroduction
What is SAP BW?
Course overview
EPM model overviewGet your cloud instance
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Introduction & E-Procurement Management ModelWhat is SAP BW?
General IntroductionSAP BW is SAP’s enterprise datawarehousing application
Adds data warehousing services on topof a database (such as SAP HANA)
Strong installed base
One of the first applications powered bySAP HANA
SAP BW
Scheduling &Monitoring
Modeling Planning
OLAP LifecycleManagement ETL
SourcesSources Sources Sources
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Introduction & E-Procurement Management ModelSAP BW powered by SAP HANA – Smarter, Simpler, More Efficient
Alignment of database and applicationserver to enable push-down offunctionalities
SAP HANA takes over processing ofmajor data warehousing tasks
Excellent performance in reporting anddata loading
Simplifies, increases agility, reducescomplexity, and combines the strengthsof SAP BW and SAP HANA
In-Memory-BasedTraditional
SAP HANA
Any DB
SAP BW
Modeling
LifecycleManagement
ETL
Scheduling& Monitoring
OLAP
Planning
SAP BW
Modeling
LifecycleManagement
ETL
Scheduling& Monitoring
OLAP
Planning
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Introduction & E-Procurement Management ModelCourse Overview
1
SAP BW powered by SAP HANA – Intro1
1
Data Integration & Management 2
1
Data Consumption & Analysis 3
1
Planning & Lifecycle Management4
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Introduction & E-Procurement Management ModelOverview of EPM Scenario
SAP NetWeaver EPM Model A demo application, covering a salesbusiness scenario
Fictitious company ITeLO sellshardware
ITelO is a global player with severalsubsidiaries and locations world wideselling its products
EPM model includes several businessobjects to encapsulate the businesslogic
Sales ProcurementStock
PB
LeaveRequest
Stock
Org.
Address
Text
Product
SalesOrder
GoodsIssue
Invoice
PurchaseOrder
GoodsIssue
Invoice
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Introduction & E-Procurement Management ModelOverview of EPM Scenario
Invoice Header
BusinessPartner Sales Order
Header
Invoice Item
Product
Sales OrderItem
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… …
Introduction & E-Procurement Management ModelCourse Scenario & Objectives
What you will learn in this courseYou will learn how to integrate data andcreate data models in SAP BW poweredby SAP HANA
Technical demonstrations will show the
strength in the core data warehousingareas
The focus is on new SAP BW 7.4powered by SAP HANA concepts andfeatures
SAP BW
ERP ERP 2
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Introduction & E-Procurement Management ModelSAP BW powered by SAP HANA Trial
Get hands-on system experienceand learn more during the course
Create your own free SAP HANA cloudinstance for 30 days (not for productionusage)
Available on the SAP HANA Marketplace Offering uses Amazon Web Services, whichis charged hourly
Consists of an SAP BW powered by SAPHANA and an SAP BusinessObjectsinstallation
Amazon Image 1
SAP BW powered bySAP HANA 7.4
Amazon Image 2
SAP BW powered bySAP HANA SP07
SBOP 4.1 BI Clients
SBOP 4.1 BI Server
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Introduction & E-Procurement Management ModelWhat You’ve Learned in This Unit
Key takeawaysEPM model is the foundation of thedata models shown in this course – you can reuse it for your own testingactivities
The course will explain briefly the mainconcepts of SAP BW and focus on thelatest innovations with SAP BW 7.4and SAP HANA
You can get your own SAP BW in theSAP HANA Cloud trial landscape
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© 2014 SAP SE or an SAP affiliate company.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 SE or anSAP affiliate company.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE(or an SAP affiliate company) in Germany and other countries. Please see http://global12.sap.com/corporate-en/legal/copyright/index.epx for additionaltrademark information and notices.
Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors.
National product specifications may vary.
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind,and SAP SE or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP SE orSAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products andservices, if any. Nothing herein should be construed as constituting an additional warranty.
In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any relatedpresentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliatedcompanies’ strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may bechanged by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment,
promise, or legal obligation to deliver any material, code, or functionality. All forward-looking statements are subject to various risks and uncertaintiesthat could cause actual results to differ materially f rom expectations. Readers are cautioned not to place undue reliance on these forward-lookingstatements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.
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Week 1 Unit 2:Enterprise Data Warehousing – Why?
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ContentContext of a data warehouse
Characteristics & tasks
Different approaches forimplementation
Enterprise Data Warehousing – Why?Covered in This Unit
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Enterprise Data Warehousing – Why?Example of a Customer Enterprise Data Warehousing Landscape
feedingexternalsystems
Master Data
Transactional Data
Business Intelligence Tools
OtherEDWSupplierDataERP Data
SupplierData
CustomerData OtherERP Data
global
local
regional
Data Mart
Data Mart
Data Mart
Planning&
Forecast
Master DataManagement
Data Warehouse“Single Point of Truth”
EDW – Characteristics:Consolidates data across theenterprise
Standardized data model
Supports decision making
Main Tasks of a DataWarehouse:
Define common semantics
Harmonize data values
Establish a ‘single version oftruth’
Provide a single, comprehensivesource of current and historicalinformation
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Enterprise Data Warehousing – Why?Definition
Different definitions – one commongoal
The data warehouse is a subject-oriented,integrated, time-variant, non-volatilecollection of data used to support the
strategic decision-making process for theenterprise.It is the central point of data integration forbusiness intelligence and is the source ofdata for the data marts, delivering a commonview of enterprise data. (Bill Inmon)
A data warehouse is a copy of transactiondata specifically structured for query andanalysis.It is the conglomerate of all data marts withinthe enterprise. Information is always storedin the dimensional model. (Ralph Kimball)
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Using an integrated EDW applicationModel-driven pre-packaged data warehouseapplication as a central component
Prebuilt information models and processcontent
Out-of-the-box tool set
Custom-built enterprise data warehouseLoosely coupled orchestration tools
Higher efforts for development and maintenance
High flexibility to build custom data models andprocesses with little enforced governance
Open environment to easily import industry models
EDWs require a database plus EDWorchestration tools
Enterprise Data Warehousing – Why?Different Approaches, Same Goal
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Enterprise Data Warehousing – Why?What You’ve Learned in This Unit
Key takeawaysEnterprise data warehousing helps toharmonize and consolidate data frommany sources as the single point of truth
Within the data warehouse, data is
mapped and transformed to a definedcorporate model
Data warehousing supports decisionmaking with current and historic data foranalysis
EDW can be custom built or supported by
tools and applications
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© 2014 SAP SE or an SAP affiliate company.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 SE or anSAP affiliate company.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE(or an SAP affiliate company) in Germany and other countries. Please see http://global12.sap.com/corporate-en/legal/copyright/index.epx for additionaltrademark information and notices.
Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors.
National product specifications may vary.
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind,and SAP SE or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP SE orSAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products andservices, if any. Nothing herein should be construed as constituting an additional warranty.
In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any relatedpresentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliatedcompanies’ strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may bechanged by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment,
promise, or legal obligation to deliver any material, code, or functionality. All forward-looking statements are subject to various risks and uncertaintiesthat could cause actual results to differ materially f rom expectations. Readers are cautioned not to place undue reliance on these forward-lookingstatements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.
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Week 1 Unit 3:Value Proposition of SAP BW
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ContentSAP BW – an Enterprise DataWarehouse Application
Services by SAP BW
Examples
Value Proposition of SAP BWCovered in This Unit
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• SAP BW as an EDW application offeringintegrated data warehousing services
• Example: No additional ETL, modelling, etc.tools necessary; functionalities are managedby inbuilt SAP BW processes
SAP BW
SAP HANA
Scheduling &Monitoring Modeling Planning
OLAP LifecycleManagement ETL
Enterprise Data Warehouse (EDW) = Database + DWH Services
SchedulingTool Modeling Tool
PlanningTool
MonitoringTool
LifecycleManagement
Tool
ETLTool
SAP HANA
Database driven approaches require
several tools to fulfill the necessary tasks
A combination of tools (such as best ofbreed) used to build the data warehouse
Value Proposition of SAP BWSAP BW – an Enterprise Data Warehouse Application
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Value Proposition of SAP BWSAP BW – Services Summary
SAP BW-Managed
Scheduling &Monitoring
Modeling
Planning
OLAP
LifecycleManagement
ETL
SAP BW – Integrated Data Warehousing Stack
Modeling environment based on predefined semantics and modeling patterns,easy-to-use business content, concepts for Big Data volumes
Sophisticated security, authorization handling, integrated data process and errormonitoring, scheduling framework for all DWH processes
Rich set of analytic functions supporting closed loop business intelligence analysis,deep stack integration of OLAP functionalities
Sophisticated lifecycle concepts at data, metadata, and system level, integrated dataaging mechanisms with consistent, optimized data management
Out-of-the-box data integration for a variety of external sources, built-in datatransformation and quality functions, optimal integration with SAP ERP
Integrated business planning processes with a variety of ready-to-use planningfunctions
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Database
MaterialGroup Text
Table
MaterialGroup Table
CustomerTexts Table
CustomerGroup
Text Table
MaterialText Table
MaterialTable
CustomerGroupTable
CustomerTable
Sales OrderTable
Joins
Time TableSales OrgTable
Database
MaterialGroupText
Table
MaterialGroup Table
CustomerTexts Table
CustomerGroup
TextTable
Material
Text Table
MaterialTable
CustomerGroupTable
CustomerTable
Sales OrderTable
Time TableSales OrgTable
Some functionality provided in ETL tool;modeling of entities manually in database
or modeling tools
Business oriented modeling throughplatform-neutral EDW semantics instead
of technical descriptions
SAP BW
SAP HANA
Scheduling &Monitoring Modelling Planning
OLAPLifecycle
Management ETL
CustomerObject
MaterialObject
Sales OrderObject
SAP BW Modeling
SchedulingTool Modelling Tool Planning
Tool
MonitoringTool
LifecycleManagement
Tool
ETLTool
SAP HANA
SAP BW Database
Value Proposition of SAP BWSAP BW – Services Example: Business Semantic Modeling
generates
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SAP BW Modeling
Each entity with key ‘measures’ will needto define a ‘delta’ table
Delta handling process needs to beimplemented manually in ETL code / tool,for example, based on timestamp
Automated delta management handlingduring data flow
contract_id Date Value 1 28/08/2012 100
contract_id Date Value 1 28/08/2012 100 1 29/08/2012 1000
contract_id Date Value 1 28/08/2012 100 1 28/08/2012 -100 1 29/08/2012 1000
1 29/08/2012 1000
Alternative 1 Alternative 2 Delta
calculation
Value Proposition of SAP BWSAP BW – Services Example: Delta Management
Contractsdelta
Contracts_delta
Contracts
SAP BW Database SchedulingTool Modelling Tool Planning
Tool
MonitoringTool
LifecycleManagement
Tool
ETLTool
SAP HANA
SELECT * FROM …
WHERE timestamp >= ‘20141224’
SAP BW
SAP HANA
Scheduling &Monitoring Modelling Planning
OLAPLifecycle
Management ETL
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Value Proposition of SAP BWSAP BW – Services Example: OLAP Functionalities
Complex aggregations have to bedefined in SQL statements or in anadditional BI tool
Build reports with a variety ofOLAP-rich functions on an objectmodel level
SAP BW Database
SAP BW Modeling
Reporting elements
SELECT Country, Product, Customer, SUM(Quantity), 1
FROM SalesData
GROUP BY Country, Product, Customer
HAVING SUM(Quantity) > 50000
SchedulingTool Modelling Tool Planning
Tool
MonitoringTool
LifecycleManagement
Tool
ETLTool
SAP HANA
SAP BW
SAP HANA
Scheduling &Monitoring Modelling Planning
OLAPLifecycle
Management ETL
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Value Proposition of SAP BWWhat You’ve Learned in This Unit
Key takeawaysSAP BW offers integrated out-of-the-boxservices for data warehousing
SAP BW offers template and object-basedmodeling approaches
Database approaches leverage different toolsfor these services
The combination of SAP BW and SAP HANAallows you to combine both approaches
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Week 1 Unit 4:Basics & Building Blocks
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Content A multidimensional model
Build such models in SAP BW
Basics & Building BlocksCovered in This Unit
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Dimension
Basics & Building Blocks A Multidimensional Model Facts
Facts
Dimension
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Basics & Building BlocksInfoObjects
InfoObjects are the smallest building blocks in SAP BW
Displayproperties
Businesssemantics likecumulative /
non-cumulativeor stock
coverage
Exceptionalaggregation
behavior
Aggregationbehavior
Key figure
Reference tounit / currency
AuthorizationsExternal SAPHANA views
HierarchiesTime-
dependencyversioning
Text & multi-lingual support
Charac-teristic
Time-dependent
master data(attributes)
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Basics & Building BlocksMost Important InfoProvider with SAP BW 7.4 powered by SAP HANA
InfoProviders are the data containers / virtual views in SAP BW
Objects with Persistency:
DataStoreObject
SemanticallyPartitioned Object
InfoCube
Outbound
Inbound
Objects Without Persistency:
Not the main focus with SAP BW 7.4:
HybridProvider, InfoCube
Not the main focus with SAP BW 7.4:
InfoSet, TransientProvider, VirtualProvider,MultiProvider
SAP HANAViews
OpenODSView
CompositeProvider
SAP HANAModels
Multi-Provider
SAP HANATable/View
Open ODSView
CompositeProvider
SAP HANATable/View
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Basics & Building BlocksData Flows in SAP BW
Certain data flows help toschedule data loadingactivities and providefeatures to transform thedata
Data Transfer Process (DTP) – triggers the data transferbetween a source and target
Transformation – transformsthe data according to definedrules
DataSource – interface objectto source system representingthe source data structure
Process Chain – a sequenceof processes that get triggeredin a specified order
SAP BW
InfoProvider
DataSource
DTP ProcessChain
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Basics & Building BlocksReporting Leverages OLAP Functions of SAP BW via the BW Query
BI tools can leverage BW via certaininterfaces
BW / BEx Query Designeris the design tool for the BW AnalyticManager
BW QueryOffers various OLAP functions and thepassivity to build a predefined reportstructure
BI Tools
Query
Designer
SAP BW
BW Query
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Basics & Building BlocksWhat You’ve Learned in This Unit
Key takeawaysSAP BW helps to build analyticalmodels via an object-driven modellingapproach
InfoProviders store the data physically
or represent a virtual view for dataloading and reporting
Queries wrap the OLAP logic andprovide many analytical functions
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© 2014 SAP SE or an SAP affiliate company.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 or anSAP affiliate company.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE(or an SAP affiliate company) in Germany and other countries. Please see http://global12.sap.com/corporate-en/legal/copyright/index.epx for additionaltrademark information and notices.
Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors.
National product specifications may vary.
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind,and SAP SE or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP SE orSAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products andservices, if any. Nothing herein should be construed as constituting an additional warranty.
In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any relatedpresentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliatedcompanies’ strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may bechanged by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment,promise, or legal obligation to deliver any material, code, or functionality. All forward-looking statements are subject to various risks and uncertaintiesthat could cause actual results to differ materially f rom expectations. Readers are cautioned not to place undue reliance on these forward-lookingstatements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.
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Week 1 Unit 5:Simplification with SAP BW 7.4 I
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Simplification with SAP BW 7.4 ICovered in This Unit
ContentGuiding principle withSAP HANA and SAP BW
SAP HANA optimizations
Experiences
New opportunities with SAPHANA and SAP BW as platform
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Simplification with SAP BW 7.4 IWhat is Different with SAP BW powered by SAP HANA – Step 1
SAP HANA
SAP BW on SAP HANA
P r o c e s s
O r c
h e s
t r a t i o n Data Modeling
Planning
Value of SAP BW powered bySAP HANA
Excellent query performance
Performance boost for data loadprocesses
Accelerated in-memory planningcapabilities
Flexibly combine EDW withSAP HANA models
Data persistency layersreduction
Simplified data modeling andremodeling
OLAP
DataManagement
PushDown
SAP BW
P r o c e s s
O r c
h e s
t r a t i o n Data Modeling
Planning
OLAP
Data Management
Any DB
BWA
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Simplification with SAP BW 7.4 ITraditional Object Optimization – Step by Step
SAP HANA-optimizedInfoCube
Converting star schema into flatdata model optimized for SAPHANA
Aggregations and dimension tablesnot needed anymore
SAP HANA-optimizedDataStore object
Delta calculation implementedin SAP HANA
Tremendous speed up foractivation (factor 5-10)
No round trips to application serverneeded
D
D
MD
MD
MD
MD
E
Facts
F
Facts
F
MD
MD
MD
MD
Any DB
SAP BW SAP BW
SAP HANA
DataActivationProcessData
Activation
Process
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SAP HANASAP BW
Simplification with SAP BW 7.4 IStep 1 - Optimizing Existing Architectures
Traditional SAP BW with Any DB
SAP BW
SAP BW with SAP HANA opt. objects
SAPHANA
Opt.
SAPHANAOpt.
DSO
DataSourcewith PSA
DSO
DataSourcewith PSA
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Simplification with SAP BW 7.4 ISome Figures
Business ValueTechnology Value
Average optimizations based on customer references
Reduction in Data Size 4x
Faster DSO Load Time3.28x
Faster DSO Activation Time14.2x
Faster Queries172x
Faster Data Mart Population37x
Inventory Reduction 50%
Reduction in Admin andMaintenance FTEs20%
Improved IntegratedBusiness Planning71%
Improved Budgeting &Forecasting Reporting
Productivity
10%
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SAP HANA Platform
SAP BW on SAP HANA
Data Modeling
Planning
OLAP
DataManagement
PushDown
P r o c e s s
O r c
h e s
t r a t i o n
P l a t f o r m - R e
l a t e d
F e a
t u r e s
SAP HANA and SAP asplatform
SAP HANA offers platformfunctionalities that can beleveraged in SAP BW.
For example, predictive libraryintegration.
New innovations andfunctionalities within SAP BWcan be developed for SAPHANA in an optimized and
deeply integrated way.
SAP NetWeaver BW
P r o c e s s
O r c
h e s
t r a t i o nData Modeling
Planning
OLAP
Data Management
Any DB
BWA
Simplification with SAP BW 7.4 IWhat is Different with SAP BW powered by SAP HANA – Step 2
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Simplification with SAP BW 7.4 IWhat You’ve Learned in This Unit
Key takeawaysSAP HANA underneath SAP BWaccelerates data loads, reportingperformance, and planningprocesses.
Existing objects and processes arepushed down to SAP HANA byusing SAP HANA-optimized objects(in first steps).
New functions are available in SAPBW based on platform capabilitiesof SAP HANA.
Innovations in SAP BW can bealigned and optimized directly forSAP HANA.
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© 2014 SAP SE or an SAP affiliate company.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 SE or anSAP affiliate company.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE(or an SAP affiliate company) in Germany and other countries. Please see http://global12.sap.com/corporate-en/legal/copyright/index.epx for additionaltrademark information and notices.
Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors.
National product specifications may vary.
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind,and SAP SE or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP SE orSAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products andservices, if any. Nothing herein should be construed as constituting an additional warranty.
In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any relatedpresentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliatedcompanies’ strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may bechanged by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment,promise, or legal obligation to deliver any material, code, or functionality. All forward-looking statements are subject to various risks and uncertaintiesthat could cause actual results to differ materially f rom expectations. Readers are cautioned not to place undue reliance on these forward-lookingstatements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.
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Week 1 Unit 6:Simplification with SAP BW 7.4 II
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Simplification with SAP BW 7.4 IICovered in This Unit
ContentSAP HANA optimizations indata modeling
Architectural simplifications
New scenarios
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Simplification with SAP BW 7.4 IISAP BW powered by SAP HANA – A Perfect Match
Only the combination of SAP BW andSAP HANA enables us to:
Simplify the data modeling processes
Increase the agility of the Enterprise DataWarehouse (EDW)
Reduce the complexity of the EDWlandscape
Combine the strengths of an SQL-orientedapproach with an integrated EDW application
Seamlessconsumption of
data
Reuse SAP BW
services to manageand analyze the data
One commonmodeling
environment
Process large
amounts ofdata faster
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Simplification with SAP BW 7.4 IISAP HANA Enables New Modeling Approaches in SAP BW
SAP BW powered bySAP HANA
Objects of SAP BW, for example,master data, can be exposed intoSAP HANA.
SAP BW is able to consume andintegrate SAP HANA models inSAP BW (CompositeProvider).
Leverage SAP HANA interfaces,tools, and algorithms within SAPBW.
Consider SAP BW and SAP HANAas one consistent and optimizedmodeling platform.
SAP BW
Transformation
Architected Data Marts
Data Warehouse Layer
Agile & OperationalData Marts
SAP HANA
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Simplification with SAP BW 7.4 IIStep 2 – Following New SAP HANA-Optimized Approaches
Traditional SAP BW with Any DB SAP BW with SAP HANA
SAP HANASAP BWSAP BW
SAP HANAOpt.
New & Opt.SAP HANA
DSO
DataSourcewith PSA
ODP - DataSourcewithout PSA
CompositeProvider
ADSO ADSONew & Opt.SAP HANA
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Simplification with SAP BW 7.4 IINew Key Objects in SAP BW 7.4
“New” CompositeProviderSupports union/join operations
Combines the data of various applications,for example, SAP BW and SAP HANA data
Join between SAP BW InfoProviders
SAP HANA
CompositeProvider
SAP HANA
SAP BW
Advanced DSO
Active Data(Reporting)
Activation Queue(Inbound Layer)
Change Log(Delta Store)
Advanced DataStore object (DSO)Next generation for data persistence objectin SAP BW
Consolidates InfoProviders by providing theirservices
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Simplification with SAP BW 7.4 IINew Key Objects in SAP BW 7.4
Open ODS View as newobject to consume externalsources with a givensemantic
Define analytic semantics
without using InfoObjects Allows field-based modeling
Use analytic functionality ontop of (external) data structuresdue to different interfaces likeSAP HANA smart data access
Combine external data withSAP BW master data andtransaction data
SAP BW
SAP HANA
Open ODS ViewOpen ODS View
Open ODS View
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Simplification with SAP BW 7.4 IINew with SAP BW 7.4 SP8
SAP BW on Any DB SAP BW 7.4 powered by SAP HANA
CompositeProvider
MultiProvider
InfoSet
VirtualProvider
Virtual Layer
CompositeProvider
Open ODS View
Persistence Layer
InfoObject
HybridProvider
InfoCube
DataStore Object
PSA
InfoObject
AdvancedDataStore Object
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Simplification with SAP BW 7.4 IINew Integrated Development and Modeling Environment
Common user experience via acentral, unified modelingenvironment
Attractive, flexible and simplified BWmodeling tools
Harmonization SAP BW and SAP HANA
modeling environmentsIntegration of SAP BW and SAP HANAmodels in one modeling approach
Eclipse Platform
ABAPDevelopment
Tools
SAP HANAStudio
SAP BWModeling
Tools
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Simplification with SAP BW 7.4 IIWhat You’ve Learned in This Unit
Eclipse-based modeling platformBW modeling tools (BWMT) as newmodeling environment
SAP GUI in Eclipse
Eclipse-based modeling for new
InfoProvider
l f h
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Simplification with SAP BW 7.4 IIWhat You’ve Learned in This Unit
Key takeawaysNew architectures should consider SAPBW and SAP HANA as modelingenvironment for implementations.
SAP BW 7.4 simplifies data modeling by
consolidating InfoProviders.New InfoProvider adds more flexibility inarchitecture, for example,CompositeProvider with joins betweenInfoProviders.
Eclipse-based modeling is available for
new objects like CompositeProvider,Open ODS View, and (advanced)DataStore object.
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© 2014 SAP SE or an SAP affiliate company.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 SE or anSAP affiliate company.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE(or an SAP affiliate company) in Germany and other countries. Please see http://global12.sap.com/corporate-en/legal/copyright/index.epx for additionaltrademark information and notices.
Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors.
National product specifications may vary.
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind,and SAP SE or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP SE orSAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products andservices, if any. Nothing herein should be construed as constituting an additional warranty.
In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any relatedpresentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliatedcompanies’ strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may bechanged by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment,promise, or legal obligation to deliver any material, code, or functionality. All forward-looking statements are subject to various risks and uncertaintiesthat could cause actual results to differ materially f rom expectations. Readers are cautioned not to place undue reliance on these forward-lookingstatements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.