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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milan.faltus@mibcon.cz