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Enhance your DW with SAP Data Warehouse Cloud

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Enhance your SAP Data Warehouse environment with
SAP Data Warehouse Cloud
Jascha Kanngiesser
Product Management Data Warehousing, HANA & Analytics, SAP SE
Feb 26th, 2020
PUBLIC
Disclaimer
The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission o f SAP.
Except for your obligation to protect confidential information, this presentation is not subject to your license agreement or any other service
or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or any related
document, or to develop or release any functionality mentioned therein.
This presentation, or any related document and SAP's strategy and possible future developments, products and or platforms directions and
functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information in this
presentation is not a commitment, promise or legal obligation to deliver any material, code or functionality. This presentation is provided
without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantab ility, fitness for a
particular purpose, or non-infringement. This presentation is for informational purposes and may not be incorporated into a contract. SAP
assumes no responsibility for errors or omissions in this presentation, except if such damages were caused by SAP’s intentional or gross
negligence.
All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from
expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates,
and they should not be relied upon in making purchasing decisions.
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2
Data management
needs for analytics
remain unmet
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WHY?
3
CHALLENGES
Data management for analytics
Limited data access
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Lengthy time
to value
Lack of real-time
data
High entry costs
4
OUR STRATEGY
SAP HANA Cloud Services
TECHNOLOGIES
SAP HANA Cloud
SAP Data Warehouse Cloud
SAP Analytics Cloud
Manage your data storage, federation, and
run powerful applications with the power of
SAP HANA in the cloud
End-to-end data warehouse in the cloud that
combines data management processes with
advanced analytics
Analytics technology – business intelligence
(BI), planning, and predictive analytics – in a
single solution
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5
Architecture
SAP Analytics Cloud Integration
Consumption
SAP Data
Warehouse
Cloud
Data
Ingestion
Data
Sources
Analytics
Governance
Services
Predictive
Data Modeling
Services
Applications
Business Modeling
Services
API 3rd-Party
consumption
Repository
Services
Security
Services
SAP HANA Cloud
3rd-Party
Data Lake
SAP Cloud Sources
In-Memory
Storage
Virtual Access
Connectivity
External Cloud Sources
Disk
Replication
API 3rd-Party
Data Load
On-Premise Sources
A comprehensive approach to data warehousing for instant data-to-value
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6
The Solution: Spaces empowers LOB users while maintaining security and
governance
Spaces are virtual
Spaces empower users
▪
▪
▪
▪
▪
▪
Constantly Up-to-date
Managed Subset
Linked
Secure
HR
MKTG
Space
Space
HR
MKTG
DATA
DATA
Space
3rd Party data loaded
directly into spaces
rather than being mixed
outside the zone of trust
CENTRAL COMPANY
DATA
R&D
FIN
DATA
R&D
Space
DATA
FIN
Space
Users interact and share data
inside virtual spaces within zone
of security, governance, and trust
IT Support throughout
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Sandbox environment
Connect to data in central Space
with new or 3rd party data
▪ Analyze, plan, predict
▪ Create Stories
ELASTIC
SECURE
SINGLE TRUTH
TRUSTED
REPEATABLE
GOVERNED
REAL-TIME
7
Business layer helps you instantly understand data in business terms
BUSINESS
LAYER
CUSTOMER
SALES
REVENUE
PRICE
Users Work in
Business Terms
“What were the key margin
drivers for my product? What if I
reduce the price by 10%?”
HANA handles
the data model
“How can I assure queries will
perform with data coming from
heterogenous systems?”
PRODUCT
DATA
LAYER
▪ 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
Allow business experts to understand data and accelerate end-to-end decision making
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8
Typical scenarios for SAP Data Warehouse Cloud
Extend Data
Warehousing
VIA HYBRID SCENARIOS
Accelerate Analytics
VIA DATA MARTS
Gain Insights Into
All Your Data
VIA CROSS-APPLICATION
WAREHOUSING
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Tight integration of on-prem scenarios (like SAP S/4HANA or SAP
BW/4HANA) by extending on-prem data with cloud data to enhance
models for broader insights
New scenarios: extract, replicate, or federate data from different
sources to create new models
Connect Data without duplication that crosses business applications
and data sources: model, connect, clean, and map data from
various sources to provide a consistent view of data
9
SAP Data Warehouse Cloud
Product description
Key capabilities
▪ Simplicity: Analytical and persona-driven data warehouse as a service
tailored for business and IT
▪ Connectivity: Instant access to application data via pre-built adapters to
integrate data from various sources
Click icon to add image
▪ Hybrid SAP Data Warehouse Cloud scenarios: Providing deep integration
between SAP BW/4HANA and SAP Data Warehouse Cloud
▪ Openness: Allowing integration and leveraging of existing assets and new
technologies
▪ Business Layer: Semantic business layer to translate data language to
natural language phrases
▪ Spaces: Scalable, elastic, open and flexible, making it suitable for any
company of any size
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10
Collaborative and Augmented: The Future of Data and Analytics is Here
Data Sources
SAP Data Warehouse Cloud
Data
Data
Layer
Layer
SAP Analytics Cloud
Semantic
Business
Layer
Layer
Ad-Hoc data
exploration
Powerful
visualization
Intelligent
augmentation
Business
planning
* SAP Analytics Cloud and SAP Data Warehouse Cloud are independent products and can be used fully independently from each other
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11
Extend Data Warehousing
via hybrid scenario
SAP Data Warehousing Approaches
Application driven approach
SAP BW/4HANA
For Customers who want:
▪ A guided & pre-packaged end-to-end
approach with built-in best practices
▪ History of operating SAP BW (ABAP)
▪ Business Content for SAP data
And have..
▪ ABAP in-house experience
▪ A homogenous system and application landscape
▪ Mainly SAP landscape and/or BW solution on AnyDB
Custom SQL driven approach
SAP SQL
Data Warehousing
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC
For Customers who want:
▪ Leverage native HANA capabilities
▪ Higher degree of freedom to build custom data
models
▪ To replace third-party DW solutions
▪ Innovative Application Development Tools
▪ Industry data models
And have..
▪ Existing in-house SQL knowledge
▪ A SAP landscape and an heterogeneous system and
application environment
▪ Mainly non-SAP source system landscape
13
SAP Data Warehouse Cloud extends your existing data warehousing
investments to support a hybrid cloud environment
SAP will continue to innovate and provide industry leading data warehousing technologies with SAP Data Warehouse
Cloud, SAP SQL Data Warehousing, and SAP BW/4HANA to enable the Intelligent Enterprise.
SAP SQL DATA
WAREHOUSING
SAP DATA WAREHOUSE CLOUD
SAP BW/4HANA
SAP HANA CLOUD
SAP HANA
ON-PREMISES
HYBRID
CLOUD
SAP BW/4HANA and SAP SQL Data
SAP Data Warehouse Cloud extends
SAP Data Warehouse Cloud is the
Warehousing are the strategic solutions
your existing data warehousing
strategic public cloud product offered as
for data warehousing on-premises.
investment to support hybrid cloud.
a software service managed by SAP.
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14
What Does SAP Data Warehouse Cloud Mean for
SAP BW/4HANA and SQL DWH customers?
SAP BW/4HANA and SAP SQL DWH can be easily extended with cloud scenarios
▪ Fast time to value for Line of Business Users independent from IT
▪ Easy consumption of existing data models
▪ Tight integration through cross consumption with SAP BW/4HANA and/or SAP HANA
as a source for SAP Data Warehouse Cloud and vice versa
▪ LOB-driven connection of additional sources
▪ LOB-built & managed data models
▪ SAP BW/4HANA is the starting point for a gradual transition from
on-premises DW to SAP Data Warehouse Cloud
▪ Leverage your existing BW or SQL skill set
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC
This presentation is not subject to your license agreement or any other agreement with SAP. SAP has no obligation to pursue a ny 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 grossl y negligent.
15
Hybrid Scenarios
Scope
▪ Leverage, extend and enrich SAP application models (on-premise
& cloud) with SAP Data Warehouse Cloud
▪ Connect / not collect data, whether data sources are on-premise
or cloud, avoid unnecessary copies of data
SAP Analytics Cloud
SAP Data Warehouse Cloud
Model
Table
Benefits
▪ Flexibility to leverage and reuse application data models
▪ Ability to address transient workloads quickly and easily, avoiding
unnecessary costs and time delays
▪ Quickly add business users and data sets while maintaining data
security and consistency
▪ Join and enrich business process data with external and relevant
data for enhanced insights
Query
CDS
Table
S/4HANA
Provider
Table
BW/4
CalcView
Table
HANA
on-premise
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16
*BW object access only
Hybrid Demo
More Information about SAP BW/4HANA
Home Page
Community/Product Page
Documentation
Product Roadmap
https://sap.com/bw4hana
https://sap.com/bw4hana10
https://help.sap.com/bw4hana20
https://sap.com/roadmaps
Get Started
Free Learning @ openSAP, Free Trial
Get Help
FAQ, Q&A, Community Wiki, Support, Services, Availability
Read & Learn More
SAP Blogs, Community Blogs, Learning Journey
Transition from SAP BW
Blog, SAP Activate Roadmap, SAP Readiness Check
Training & Certification
https://training.sap.com/
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Watch
Demos & Tutorials,
YouTube Channel,
SAP HANA Academy
Share & Follow
#BW4HANA,
#TheFutureofDW
Related Solutions
SAP HANA, SAP Data Hub, SAP Analytics Cloud
22
More Information about SAP SQL Data Warehousing
Landing Page
Community Page
Documentation
https://blogs.sap.com/2017/12/19/sap-sqldata-warehousing-with-hana/
https://www.sap.com/community/topics/sqldata-warehousing.html
https://help.sap.com/viewer/p/SAP_HANA_DA
TA_WAREHOUSING_FOUNDATION
Trial Version
SAP HANA Academy
SAP Training HDW410
https://blogs.sap.com/2018/05/31/sap-sqldata-warehouse-trial/
https://www.youtube.com/playlist?list=PLkzo9
2owKnVyWRlk3dLVj1ol3MrA7UzMR
https://training.sap.com/course/hdw410-sapsql-data-warehousing-classroom-016-at-de/
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23
More Information about SAP Data Warehouse Cloud
Find out more at
www.sapdatawarehouse.cloud
•
Onboarding Guide
•
Learning Academy
•
Blogs
•
Community
•
SAP Help Documentation
•
Calculator
•
Sample Content on GitHub
•
Provide your feedback:
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24
Thank you.
Contact information:
Jascha Kanngiesser
jascha.kanngiesser@sap.com
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