SAP Data Warehousing
Milan Faltus
3.12.2019
Is data warehousing still necessary even with S/4HANA?
Data warehouse
▪ Consolidates data across the enterprise
▪ Standardized data models
▪ Performance heavy advanced analytics
▪ Ready for high volumes of data
▪ Data historization
Main Tasks
▪ Define common semantics
▪ Harmonize data values
▪ Establish a ‘single version of truth’
▪ Provide a single, comprehensive source
of current and historical information
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SAP Data Warehousing solutions
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SAP Data Warehousing approaches
Application driven approach = SAP BW/4HANA
▪ All required data warehousing services in one
integrated repository
▪ No additional tools for modelling, monitoring and
managing the data warehouse required, but can be
integrated
SQL driven approach = SAP HANA with loosely coupled tools and
platform services, logically combined
▪ Require several loosely coupled tools to fulfill the
necessary tasks with separate repositories
▪ A combination of tools (such as best of breed)
used to build the data warehouse
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What about non-SAP/HANA DWH by Mibcon?
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SAP BW/4HANA
SAP BW prejudices
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SAP BW/4HANA is …
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SAP BW/4HANA 2.0 is SAP's vision for a modern packaged data warehousing solution
Highly optimized for SAP HANA➢ Further Push-down of OLAP ➢ Conditions, exception aggregation➢ Dedicated perf. optimization for SAC
Modern interface➢ SAP Fiori design patterns➢ Single point of entry for admin tasks➢ Unified user experience➢ Modifiable for user context and auth.
„All in one“ data warehouse➢ Simplification of data warehousing➢ All necessary EDW processes built-in➢ On unified platform
The perfect EDW for SAP S/4HANA➢ Extends the business case of SAP S/4HANA ➢ Business content for SAP S/4HANA➢ Best integration capabilities based on common
architecture and terminology
Hybrid SAP Data Warehouse Cloud scenarios➢ Integration scenarios➢ Data provisioning➢ Virtualized access
Openness, Smart integration➢ Native SQL access➢ Simplified data integration➢ Consolidated source systems➢ OData
Use cases for BW/4HANA
Use cases for BW/4HANA
▪ Multi-sourced data from SAP and non-SAP systems (integration, harmonization, cross-system
consistency)
▪ Planning Platform
▪ Preconfigured content
▪ Data lifecycle, governance
▪ Integration of virtual data sources
▪ Openness for high volume sources like IoT data, data lakes etc.
With S/4HANA, the strategy is hybrid
▪ Combination of S/4 embedded analytics and EDW data in BW4
▪ Accelerated inclusion of SAP S/4HANA data into SAP BW/4HANA
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SAP BW/4HANA 2.0 – New UX
New BW Cockpit
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SAP BW/4HANA 2.0 – New UX
Transformations
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SAP BW/4HANA 2.0 – New UX
Process chains
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SAP BW/4HANA 2.0 – New UX
BW Modeling Tools in Eclipse
▪ Enhanced Data Flow Copy
(more than one copy, definition on object level)
▪ DataFlow: Display of HANA View(s)
in CompositeProvider
▪ Optimized Data Store Object Editor
▪ Data Store Object remodeling in Eclipse
and execution in SAP BW/4HANA Web Cockpit
▪ Data Tiering Optimization – cold store
connection configurable on object level
▪ Simplified Search
▪ New Editors: Currency Translation Type,
Unit Conversion Type and Key Date Derivation
▪ Asynchronous object activation
– editor is not blocked during activation
▪ Process Chain Integration
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Features in SAP BW/4HANA vs. SAP BW on HANA
Feature SAP BW on HANA SAP BW/4HANA
BW Baseline Features ✓ ✓
Retain Existing BW Customizations ✓ ✓
HANA DB Platform ✓ ✓✓✓
Integration with SAP Data and S/4HANA ✓ ✓✓✓
Integration with Non-SAP Data ✓ ✓✓✓
Support for Mixed Use DW Scenarios ✓ ✓✓✓
Future Developments and Enhancements ✓
BW Optimizations for HANA ✓ ✓✓✓
Cloud offering ✓
BW Simplification and Data Footprint Reduction ✓ ✓✓✓
Algorithm Push Down ✓ ✓✓✓
Exposure of BW Models as Native HANA views ✓ ✓✓✓
Simplified Administration ✓
Simplified Modeling ✓
Modern User Interface ✓
Automated Multi-Temp Data Management ✓
New BW/4HANA Business content ✓
Big Data Support ✓
14Simplification List for SAP BW/4HANA ➔
The Evolution from SAP BW/4HANA 1.0 to 2.0
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SAP BW/4HANA
Product road map overview – Key innovations
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SAP BW/4HANA
Product road map overview – Key innovations (2)
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SAP Data Warehouse Cloud
What is SAP Data Warehouse Cloud?
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SAP DWC – Core principles
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SAP Data Warehouse
Cloud
Freeing IT resources
Elasticity and Scalability
Managing Operational Costs
Rich set of connectors
Integration of OnPrem and Cloud
Start Small
What can we do within DWC?
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Spaces – team and cost management
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Demo
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