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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

2

SAP Data Warehousing solutions

3

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

4

What about non-SAP/HANA DWH by Mibcon?

5

SAP BW/4HANA

SAP BW prejudices

7

SAP BW/4HANA is …

8

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

9

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

13

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

15

SAP BW/4HANA

Product road map overview – Key innovations

16

SAP BW/4HANA

Product road map overview – Key innovations (2)

17

SAP Data Warehouse Cloud

What is SAP Data Warehouse Cloud?

19

SAP DWC – Core principles

20

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?

21

Spaces – team and cost management

22

Demo

23

milan.faltus@mibcon.cz

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