Die Data Warehouse Cloud (DWC) ist SAP's neuestes Data Warehouse (DWH) Produkt. Als Software-as-a-Service Lösung basiert es auf den neuen HANA Cloud Services. Dabei soll die DWC über, kurz oder lang, in der Lage sein neben einem Self Service Data Preparation Use Case auch ein vollwertiges Enterprise Data Warehouse abzubilden. Die am weitesten verbreiteste SAP DWH Lösung ist bisher das SAP Business Warehouse (BW). Was passiert nun mit dem SAP BW? Ist die DWC das schleichende Ende von SAP BW? Wir beantworten diese und weitere Fragen und geben einen Überblick zur Positionierung der SAP DWH Lösungen. Anhand eines Showcases zeigen wir zudem Potentiale hybrider Architekturen auf.

1. SAP Data Warehouse Cloud
DAS ENDE VON SAP BW?

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WARUM
DIESES THEMA?

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SAP
STRATEGIE

4. 4PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Data Warehousing
Statement of Direction
SAP continues to innovate industry leading data warehousing technologies with SAP Data Warehouse Cloud, SAP SQL
Data Warehousing, and SAP BW/4HANA to enable the Intelligent Enterprise. SAP Data Warehouse Cloud will not replace
neither SAP BW/4HANA nor SAP SQL Data Warehousing, but complements the existing data warehouse portfolio of SAP.
ON-PREMISES
SAP BW/4HANA and SAP SQL Data
Warehousing are the strategic solutions
for data warehousing on-premises.
HYBRID
SAP Data Warehouse Cloud extends
your existing data warehousing
investment to support hybrid cloud.
CLOUD
SAP Data Warehouse Cloud is the
strategic public cloud product offered as
a software service managed by SAP.
SAP HANA
SAP SQL DATA
WAREHOUSING
SAP BW/4HANA SAP DATA WAREHOUSE CLOUD
SAP HANA CLOUD

5. 5INTERNAL© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Leverage the power of SAP HANA to
instantly access the data you need,
when you need it, without front-
loaded costs.
Only pay for what you use and re-
allocate resources quickly and easily
across different use-cases and lines
of business.
FAST ELASTIC
Designed for both enterprise IT and
line of business users to manage
and gain valuable insights.
COLLABORATIVE
Integrate data from any source and
consume with powerful native
analytics and business semantics.
END-TO-END
SAP Data Warehouse Cloud is ___________.
SAP HANA Cloud Services

6. 6INTERNAL© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Architecture
A comprehensive approach to data warehousing for instant data-to-value
On-Premise SourcesExternal Cloud SourcesSAP Cloud Sources
API 3rd-Party
consumption
Predictive ApplicationsAnalytics
SAP HANA Cloud
API 3rd-Party
Data Load
3rd-Party
Data Lake
In-Memory DiskStorage
Connectivity ReplicationVirtual Access
SAP Analytics Cloud Integration
Repository
Services
Data Modeling
Services
Governance
Services
Business Modeling
Services
Security
Services
Data
Ingestion
Data
Sources
Consumption
SAP Data
Warehouse
Cloud

7. 7PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ
The Problem: Sharing and Managing Data Extracts is Hard
IT Support
Stops Here
Business Analyst
Makes Extract
PC
User
3rd Party data loaded
outside the zone of trust
Disk Share
LOB User Examines
and Builds Story
Email
Spreadsheet
Program
Users swap
by email
OUTSIDE DATA SOURCESOUTSIDE DATA SOURCES
OUT OF DATE
REPEATABLE
SINGLE TRUTH
ELASTIC
GOVERNED
TRUSTED
SECURE
3rd Party data loaded
outside the zone of trust

8. 8PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ
The Solution: Spaces empowers LOB users while maintaining
security and governance
IT Support throughout
TRUSTED
SECURE
GOVERNED
SINGLE TRUTH
ELASTIC
REPEATABLE
REAL-TIME
Spaces are virtual
• Constantly Up-to-date
• Managed Subset
• Linked
• Secure
Users interact and share data
inside virtual spaces within zone
of security, governance, and trust
• Sandbox environment
• Connect to data in central Space
with new or 3rd party data
• Analyze, plan, predict
• Create Stories
Spaces empower users
HR
DATA
CENTRAL COMPANY
DATA
Space
Space
HR
R&D
DATA
MKTG
DATA
FIN
DATA
Space
R&D
Space
FIN
3rd Party data loaded
directly into spaces
rather than being mixed
outside the zone of trust
Space
MKTG

9. 9INTERNAL© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ
BUSINESS
LAYER
DATA
LAYER
Allow business experts to understand data and accelerate end-to-end decision making
▪ Represent business entities
and relationships with
business language
▪ Promote model
standardization and reuse
for greater efficiency
▪ Use your models to
power visualizations
once they are active
▪ Allow business users
to work independently
from IT
Business layer helps you instantly understand data in business terms
Users Work in
Business Terms
CUSTOMER
PRODUCT
SALES PRICE
REVENUE
HANA handles
the data model
“What were the key margin
drivers for my product? What if I
reduce the price by 10%?”
“How can I assure queries will
perform with data coming from
heterogenous systems?”

10. 10INTERNAL© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ
* According to SAP Data Warehouse Cloud Road Map
This presentation is not subject to your license agreement or any other agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to develop or release any functionality
mentioned in this presentation. This presentation and SAP's strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided
without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. SAP assumes no responsibility for errors or
omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent.
SAP Data Warehouse Cloud Demo

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LIVE
DEMO

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CHANCEN DURCH
HYBRIDE USE CASES

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Accelerate Analytics
HYBRIDE USE CASES
Klassisches
SAP BW System
(ohne HANA)
Data Warehouse
Cloud
Replizierung in Tabelle
View Modellierung
Embedded Analytics Cloud
ODP

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Self-Service Data Modeling & Analytics
HYBRIDE USE CASES
Central (governed) DWH
(z.B. SAP BW/4 HANA)
Weitere Systeme & Daten
(z.B. SAP S/4 HANA,
Excel usw.)
Visualisierung
Analytics Cloud (embedded oder separat)
Space „Finance“ Space
„Logistik“
…
Data Warehouse
Cloud

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Self-Service Data Modeling & Analytics
HYBRIDE USE CASES
Central (IT-Governed)
Data Warehouse
(z.B. SAP BW/4 HANA)
Weitere Systeme
(z.B. SAP S/4 HANA)
Visualisierung
Analytics Cloud (embedded oder separat)
Space
„Finance“
…
Data Warehouse
Cloud
Space „Governed
Data Base“
Space
„Logistik“
Excel

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Data Virtualization
HYBRIDE USE CASES
SAP BW/4 SAP S/4
Visualisierung
Analytics Cloud (embedded oder separat)
Produktions-
orientiertes DWH
Fachbereichs-
Lösungen
Data Warehouse
Cloud
Virtuelle (oder replizierte) Anbindung von Daten
Vereinheitlichung von Metadaten, Business Catalog, Lineage
Space „Finance“ Space „Logistik“ …

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FAZIT
KEY TAKEAWAYS

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Key Takeaways
Die Data Warehouse Cloud kann
eine sehr gute Ergänzung sein
Unsere Empfehlung: Probieren Sie die Data Warehouse Cloud einfach aus!
Neben Erweiterungen des BW, sind ganz
neue Szenarien denkbar
SAP BW/4 HANA ist strategisch gesetzt
Chance verteilte (Fachbereichs-)Lösungen zu integrieren
und eine einheitliche Sicht zu schaffen

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ZUM THEMA SAP BW UND SAP BW/4HANA
Vertiefende Informationen
Thesen zur Zukunft des
SAP BW
• Blogartikel: Geänderte
Anforderungen an ein Data
Warehouse
• Whitepaper: SAP BW im Umbruch
• Workshop: SAP BW/4HANA
Anforderungen an Integration
& Offenheit
Coming soon…
BW/4HANA als Chance für
einen Neuanfang
• Blogartikel: Moderne und flexible
Architektur mit SAP BW/4HANA
• Blogartikel: Ihre Road-2-
BW/4HANA
• Blogartikel: FAQs zur Migration auf
BW/4HANA
Das SAP BW muss agil werden
• Blogartikel: Agiles Data
Warehousing mit SAP BW/4HANA
• Blogartikel: Agile
Datenmodellierung mit SAP
BW/4HANA
S/4HANA verändert die SAP-
BW-Welt
• Blogartikel: Benötige ich im
S/4HANA-Kontext überhaupt noch
ein SAP BW?
SAP Data Warehouse Cloud
und SAP BW
• Blogartikel: Anbindung von
BW/4HANA an die Data
Warehouse Cloud
• Blogartikel: Datenmodellierung
mit DWC und BW/4HANA
Mehr Infos auf isr.de

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