Analytics Products L2 public 2020-23 Black.pptx

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Version 2020.23
SAP Data Warehouse Cloud
A scalable, open, and persona-driven warehouse as-a-service tailored for business and IT

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© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ
The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of 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 merchantability, 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.
Disclaimer

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Limited data
access
Lengthy time
to value
Lack of real-time
data
High entry costs
CHALLENGES
Data management for analytics

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Data Warehouse Cloud Overcomes Traditional Problems
and Enables New Solutions
COLLABORATIVE
Combine information from enterprise data sources and
external data sources in spaces dedicated to a specific
line of business or use-case
END-TO-END
Gain instant value with pre-built business content and
out-of-the-box advanced analytics
FAST
Power of SAP HANA and in-memory technology
for the fastest analytical and database experience
without front-loaded costs
ELASTIC
Flexible and simplified package pricing.
Pay for what you use – no strings attached
Limited data access
Lengthy time to value
Lack of real-time data
High entry costs

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End-to-End Data
Warehousing
Enabling Data
Democratization
Self-Service Data
Modeling & Analytics
“SAP Data Warehouse Cloud is the strategic public cloud product
for all data warehouse scenarios in the cloud.”

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SAP‘s Data and Analytics Cloud
SAP Analytics Cloud
SAP HANA Cloud
TECHNOLOGIES
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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SAP Data Warehouse Cloud Use Cases
Empower business users with self-service, top-down driven analytics in an IT
governed environment via spaces. Instant access to business applications via pre-
built adapters to integrate any type of data from any source, SAP and non-SAP
data sources, on-prem and in the cloud.
Accelerate time-to-insight via rapid onboarding of resources. Lower adoption
barrier with a business semantic layer abstracting data layer from underlying
physical data sources. Leverage data catalog and pre-built business content
(industry-data models, KPIs) and deliver enterprise-wide collaboration via space
concept to support end-to-end decision-making.
Leverage existing SQL skills, SAPIDEs, open-source and/or in-built tooling for
data integration, governance, harmonization and Big Data historization to provide a
consolidated view across the enterprise. Extract maximum investment from
existing on-prem investments via hybrid scenarios e.g. SAP HANA for SQL DW,
SAP S/4HANA, SAP BW/4HANA etc.
Self-Service Data
Modeling & Analytics
Enabling Data
Democratization
End-to-End Data
Warehousing

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SAP DATA WAREHOUSE CLOUD
SAP Data Warehousing
Statement of Direction
ANYPREMISES
SAP BW/4HANA and SAP HANA for SQL data
warehousing are the strategic solutions for on-
premises and private cloud data warehousing.
HYBRID
SAP Data Warehouse Cloud extends
your existing data warehousing
investment to support hybrid cloud.
PUBLIC CLOUD
SAP Data Warehouse Cloud is the
strategic public cloud product offered as
a software service managed by SAP.
SAP HANA
SAP HANA FOR SQL
DATA WAREHOUSING
SAP BW/4HANA
SAP continues to innovate industry-leading data warehousing technologies to enable the Intelligent Enterprise.
SAP Data Warehouse Cloud is a new offering for data warehousing in the public cloud – it can be a stand-alone solution
or complement the data warehouse portfolio of SAP. Neither will it replace SAP BW/4HANA nor SAP HANA for SQL data
warehousing.

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SAP Data Warehouse Cloud & SAP BW/4HANA
Positioning
SAP Analytics
MS Azure Data Lake
SAP S/4HANA
Data Layer Business Layer
SAP BW/4HANA
HYBRID
 Public cloud, in-memory Data
Warehouse service
 Self-service data modeling
capabilities
 Extend and adapt enterprise
data models
 Leverage SAP BW/4HANA
meta data objects and
semantics
 EDW application approach on-prem
and private Cloud
 Agile Data Mart for LoB users in
conjunction with SAP Data
Warehouse Cloud
 A pre-packaged data warehousing
solution
 Acting as enterprise-wide ‘single-
version of the truth’
 Tight integration of on-prem
scenarios like SAP S/4HANA
or SAP BW/4HANA
 Extend on-prem data with
cloud data to enhance models
with local data for broader
insights
Comprehensive,
integrated and
packaged EDW
toolset
Powerful
visualization
Intelligent
augmentation
Business
planning
Ad-hoc data
exploration
SAP SuccessFactors

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SAP Data Warehouse Cloud & SAP HANA for SQL data warehousing
Positioning
SAP Analytics
MS Azure Data Lake
SAP S/4HANA
HYBRID
Warehouse service
capabilities
data models
semantics
 Tight integration of on-prem
scenarios like SAP HANA for
SQL data warehousing
 Extend on-prem data with
cloud data to enhance models
with local data for broader
insights
Powerful
visualization
Intelligent
augmentation
Business
planning
Ad-hoc data
exploration
SAP SuccessFactors
SAP HANA for SQL data warehousing
 SAP HANA for SQL data warehousing
application on-premises & private Cloud
 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
Custom SQL driven
approach

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SAP Data Warehouse Cloud integrated with SAP SQL data warehousing
Positioning
SAP Analytics
MS Azure Data Lake
SAP S/4HANA
SAP HANA for SQL data warehousing
Warehouse service
capabilities
data models
semantics
application on-premises & private
Cloud
 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
Powerful
visualization
Intelligent
augmentation
Business
planning
Ad-hoc data
exploration
SAP SuccessFactors
Custom SQL driven
approach
SINGLE Database-Tenant - Support of immediate database artefact & data access

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Overview
 Navigation pane provides direct
access to all essential functions
 Tiles are visible based on user
authorizations
 Middle sections contains recent
news, links to documentation
and most important functions
 Help icon in top right corner
gives easy access to In-App
help and SAP Help portal

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API 3rd-Party
consumption
Applications
Architecture
A comprehensive approach to data warehousing for instant data-to-value
On-Premise Sources
External Cloud Sources
SAP Cloud Sources
Predictive
Analytics
SAP HANA Cloud
API 3rd-Party
Data Load
3rd-Party
Data Lake
In-Memory Disk, Data Lake
Storage
Connectivity Replication
Virtual 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
Business
Content

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 Space Management
 Security
 Administration
Governance Services – Overview
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
Spaces allow you to create an environment that fits the specific use-case or
business line. You can assign users and connections to a specific Space and
adjust the storage capacity according to your needs. Within an space,
modeled objects will be stored. Besides being assigned to a space, users get
access rights through predefined roles.

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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.
 Metadata object isolation
 Compute and storage elasticity
– Resource isolation
– Cost control*
– Pay-per-use*
 Transparent monitoring & statistics
 Space permissions
 Database Users & Open SQL Schemas
 Time Dimension
 HDI-Container
 SAP HANA Data Lake Integration
Governance Services: Space Management
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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 Planned Pay-per-Use Enablement*
– Activate or hibernate spaces* when not required
to save or re-allocate resources
 Visibility and governance (control resources
and connectivity and connect to remote
systems for quick-time-to-value
– Define space storage quota
– Control resource usage with space locking
– Manage user access
– Create and manage connections to remote
sources
 Sharing of objects with another space, i.e. allowing
users in the target space to consume the object in
their own views or stories.*
Governance Services: Space Management
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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SAP HANA Data Lake Integration: Integrated Access
 SAP Data Warehouse Cloud access to
HANA Data Lake enabled via Open SQL Schemas
 Objects in HANA Data Lake can be accessed via virtual
tables from the DWC Open SQL Schema
 Stored Procedures to support standard HANA Data
Lake operations
 Load, process & manage data of different nature
(incl. Sensor data) within the HANA Data Lake –
independent to the data in Data Warehouse Cloud
SAP HANA Cloud – DB-Tenant
Open SQL
Schema
1
Open SQL
Schema
n
…
SAP HANA Data Lake
…
Table, View,
Stored Procedure …
DB-Schema 1
Table, View,
Stored Procedure …
DB-Schema n
Space
Active
Used Disk
Used In-Memory
In-Memory Acceleration
100 %
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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 Add, edit, and remove users
 Assign authorizations and roles
 Assign system owner
 Import / export users via flat files
 Overview of roles (personas)
 Audit logging
Governance Services: Security
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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 Add, edit, and remove Data Provisioning agents
 Certificate Upload
 Self-service IP Whitelisting
 Tasks Logs Settings & Clean-up
 Database Analysis User
 Auditing
Governance Services: Administration
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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 Remote source replication
 Virtual access to remote data
 Local File Upload (CSV) with Data Wrangling
 Open SQL Schema
 Data Replication Monitor
Data Sources & Ingestion – Overview
Connections provide access to data from different systems. Based on SAP
HANA Cloud technology data can be replicated or accessed virtually. The
local file upload allows for easy-to-use data models from scratch.
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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* According to SAP Data Warehouse Cloud Road Map
Data Sources Overview
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
Q1 2021* 2021*
Current
Delivered Planned* Partner
Partners
Datazeit
APOS
150+ Sources
Snaplogic
500+ Sources
Informatica
140+ Sources
Adverity
400+ Sources
Precog
SAP HANA Data Lake SAP Sybase IQ
New Connection Tiles
Google Cloud Storage Google BigQuery SFTP RESTful Webservices
Amazon Redshift
Amazon S3 Amazon Athena
Connection Tiles
Generic OData Microsoft SQL Server Oracle
SAP BW Generic Cloud Data Integration
SAP ABAP SAP HANA SAP ECC
SAP S/4HANA
Local CSV File Adverity
HDFS
Azure SQL Database
New Connection Tiles
SAP BW/4HANA Model Transfer SAP HANA Cloud
SAP Open Connectors
SAP S/4HANA CE
SAP SuccessFactors
SAP Fieldglass
SAP Marketing Cloud
Azure Synapse Azure Analysis Services
MySQL1
CamelJDBC PostgreSQL1
Teradata1 IBM DB21
MariaDB1
SAP BPC SAP IBP
Snaplogic
Precog
Azure Data Lake Store Gen1 Azure Data Lake Store Gen2
SAP Concur SAP Ariba
SAP Cloud 4 Customer SAP Cloud 4 Commerce
Apache Cassandra1
Apache Impala1
Dynamo DB1
MongoDB1 Apache Hive1
1 Via Apache CamelJDBC Connection with dedicated JDBC driver provided by customer.

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Data Sources & Supported Options for SAP Systems
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
On-Premises
Cloud
Delivered Planned* Federation Realtime Replication Data Flow based on a View
Snapshot Data Flow
SAP
SuccessFactors
for Analytical
Dashboards
Cloud Data
Integration
SAP
Fieldglass
SAP
Marketing
Cloud
SAP ECC
SAP
S/4HANA
on Premise
SAP HANA SAP ABAP SAP BW
SAP
BW/4HANA
SAP
S/4HANA
CE

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Data Sources & Supported Options for other Systems
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
On-Premises
Cloud
Amazon
S3
Redshift
Athena BigQuery
Google
Cloud Storage
Data Lake
Storage Gen1
Microsoft
Azure
Data Lake
Storage Gen2
OData HDFS
Microsoft
SQL Server
Oracle MySQL
Postgre
SQL
Teradata
Apache
Camel
JDBC
Delivered Planned* Federation Realtime Replication Data Flow based on a View
Snapshot Data Flow

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Data Sources & Ingestion: Local File Upload
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
 Local CSV file upload with data wrangling support
 Apply various data wrangling and
transformation rules, such as
 Concatenate
 Split
 Extract
 Replace
 Change
 Filter
 Automatic creation of data models (tables) based
on file structure
 Columns derived from file structure
 Data types identified based on existing data*
 Consumption of uploaded data as tables in Data
Builder

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 SQL endpoint to dedicated database schema
 Connect via any 3rd party SQL client
 Usage of any SAP HANA SQL capability
– Create views, tables
– Define stored procedures
 Consume data models from your space in the
Open SQL Schema
 SAP DB Explorer
– Start from Space Management
– Execute SAP HANA SQL DDL, DML, Stored
Procedure Statements
– Create DB artifacts in Open SQL Schema
Data Sources & Ingestion: Open SQL Schema
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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 Two different ways available for integrating SAP BW & SAP
BW/4HANA systems:
– Federated/replicated data consumption scenarios via
▫ Operational Data Provisioning framework (SAP ABAP connection)
▫ External SAP HANA Views (SAP HANA connection)
– Federated/replicated business semantics integration scenarios via
SAP BW/4HANA Model Transfer connection*
 Differences in support of consumable entities, supported
entity features, federated or replicated scenarios, location &
usage of calculation engine
 Remote or replicated data consumption scenarios supported
with SAP BW & SAP BW/4HANA
 Business semantics migration support for SAP BW/4HANA
only via SAP BW/4HANA Model Transfer connection*
Data Sources & Ingestion: SAP BW Integration Overview
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
Remote Table
BW BW
InfoProvider
InfoObject
on-premises
Query as
InfoProvider
cloud
Any DB
HANA
Remote Table
External HANA Views
HANA
External HANA Views
BW/4HANA
InfoProvider
InfoObject
Query as
InfoProvider
InfoProvider
InfoObject
Query as
InfoProvider
BW
Query
Remote Table
Business View
HTTP
Business Layer
Data Layer
SAP
HANA
Connection
SAP
HANA
Connection
SAP ABAP Connection SAP ABAP Connection SAP ABAP Connection
SAP
BW/4HANA
Model
Transfer
Connection

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 Virtual or replicated data access available for InfoObject
characteristics, InfoProviders, Query as InfoProviders (subset of
OLAP capabilities), generated external SAP HANA views
 Connection via SAP ABAP adapter (Operational Data
Provisioning framework) or SAP HANA connection
 Usable with any BW system that either supports the minimum
Operational Data Provisioning framework requirements (ABAP
connection) or runs on a SAP HANA database (SAP HANA
connection)
 Replicated data consumption on data layer level, no migration of
existing BW metadata to Data Warehouse Cloud native entities
 Calculation engine calculations (via BW OLAP) done on BW side
SAP BW Integration: Virtual & Replicated Data Consumption Scenarios
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
Remote Table
BW BW
InfoProvider
InfoObject
on-premises
Query as
InfoProvider
cloud
Any DB
HANA
Remote Table
External HANA Views
HANA
External HANA Views
BW/4HANA
InfoProvider
InfoObject
Query as
InfoProvider
Remote Table
InfoProvider
InfoObject
Query as
InfoProvider
Business Layer
Data Layer
SAP
HANA
Connection
SAP
HANA
Connection
SAP ABAP Connection
SAP ABAP Connection SAP ABAP Connection

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 Provide SAP BW/4HANA business semantics to SAP Data
Warehouse Cloud*
 Enable staging scenarios for SAP BW/4HANA data &
virtual models*
 Transfer BW Query as native DWC entity
(KPI, analytic model)*
 Support BW Analysis Authorizations in SAP Data Warehouse
Cloud*
 Hierarchy Support (virtual, available via semantics, native
SAP Data Warehouse Cloud dimension with hierarchies)*
 SAP BW/4HANA system only acts remote data source,
calculation engine execution (via MDS) happens in SAP Data
Warehouse Cloud
SAP BW Integration: SAP BW/4HANA Model Transfer Connection
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
BW BW
on-premises
cloud
Any DB HANA
HANA
External HANA Views
BW/4HANA
InfoProvider
InfoObject
Remote Table
Business View
Query as
InfoProvider
BW
Query
Business Layer
Data Layer
SAP
HANA
Connection
SAP ABAP Connection
SAP
BW/4HANA
Model
Transfer
Connection

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Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
Space
Platform
SAP HANA for
SQL data warehousing
Business Builder
Data Builder
Data Flow Builder
Monitoring
Scheduling
Database Explorer
Space Management
SAP Cloud
Platform & ext.
Tooling
SAP IDE
SQL Editor
Data Integration
Others…
SAP Analytics Cloud 3rd party Visualization
Data Modeling
Connections
ABAP HANA
SQL Server
OData
Oracle …
Data Layer
Business Layer
CUSTOMER
PRODUCT
SALES PRICE
REVENUE
Editors
integrating of loosely coupled but deeply
integrated tooling (SAP and open Source)
enabled to connect, access & process data,
governed by SAP HANA 2.0 / SAP HANA Cloud
 HANA Artefacts, like: Calculation View, remote
Source, Flowgraph, Roles, virtual Table, Table,
NDSO …
 SQL Artefacts: HANA SQL DDL & DML
 SAP Data Warehouse Cloud
 Editors empower Business & IT Users to
create End-to-End Scenarios
 Data is accessed, processed, federated and
persisted using SAP HANA Cloud
SQL
Schema 1
SQL
Schema n
…
…
HDI
Container 1
HDI
Container n
SAP HANA 2.0 /
SAP HANA Cloud -
DB-Tenant
SAP HANA for SQL data warehousing Integration: Hybrid SQL DW

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Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
Space
Platform
Business Builder
Data Builder
Data Flow Builder
Monitoring
Scheduling
Database Explorer
Space Management
SAP Cloud
Platform & ext.
Tooling
SAP IDE
SQL Editor
Data Integration
Others…
SAP Analytics Cloud 3rd party Visualization
Data Modeling
Connections
ABAP HANA
SQL Server
OData
Oracle …
Data Layer
Business Layer
CUSTOMER
PRODUCT
SALES PRICE
REVENUE
Editors
 SAP Data Warehouse Cloud
 Editors empower Business & IT Users to
create End-to-End Scenarios
 Data is accessed, processed, federated and
persisted using SAP HANA Cloud
 SAP Cloud Platform & external Tooling
are enabled to connect, access and process
data, governed by SAP Data Warehouse Cloud
 HANA Artefacts, like: Calculation View
Open SQL
Schema 1
Open SQL
Schema n
…
…
HDI
Container 1
HDI
Container n
SAP SQL data warehousing Integration: Integrated SQL DW

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 Switch from remote access to replicating data,
or from loading snapshots to loading real-time
data
 Schedule snapshot loading for remote tables
 Enable real-time replication for change-data-
capture (CDC) enabled tables
 Configure the refresh frequency
(“none” = snapshot)
 Ability to start & stop, pause & resume real-
time replication
 Switch and revert data access between
Remote and Replicated
Data Sources & Ingestion: Data Integration Monitor
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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 Automatic versioning of entities*
 Integration of Content Network
 Textfile-based export and import of entities
 Rollback to last consistent and deployed state
Repository Services – Overview
Repository services support the complete entity lifecycle handling.
Automatic entity versioning allows for easy rollback of unwanted changes.
Content existing on the Analytic Content Network can be made available in
the Data Warehouse in seconds.
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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Repository Services: Content Network
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
 Content transport and content delivery
 Export and Import content to the Content
Network and share it with other systems.
 Import SAP and Partner Content into your
system.

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 Data Builder: Entity-Relationship Modeler, Tables, and Views
 Data Transformation and Harmonization
 ELT / ETL Process Support
– Data Flow
– Scheduling functionality
– Process Monitoring
 Data Auditing Functionalities (Governed data changes)
Data Modeling Services – Overview
Data models help you to provide a trusted self-service data warehouse environment
in your organization. Models are prepared, governed, and secured by system
administrators, defining how to access the data. The layer provides tools to
combine and harmonize data in a unified, standardized way. Data changes are
monitored and access to data sources can be handled in a managed manner.
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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 Definition of entity-relationship models
 Design physical or remote database models
 Reverse model engineering
 Re-use existing entities (table, view) from
Data Builder
 Add new entities on-the-fly
 In-editor real time data preview
 Model Import / Export
Data Modeling Services: Entity-Relationship Modeler
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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 Define general properties like technical and
business name
 Provide business purposes for easy re-use and
search capabilities
 Customize field list by adjusting descriptions,
field names, data types and semantics
 Share tables with other spaces
Data Modeling Services: Table
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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Data Modeling Services: View
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
 Graphical or script-based (SQL & SQL Script) editor
 Define views on top of remote, replicated data sources,
or tables
 Define unions, joins and aggregations, rename
and remove columns, add calculations and filters
 Create Analytical Datasets, Dimensions or Relational
Datasets
 Create Parent-Child or Level-based hierarchies
in Dimension views
 Define measures & attributes in
Analytical Datasets
 In the Graphical View Builder, you can
compute and display the corresponding
SQL Statement.
 Create View Persistency
 Share with other spaces

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Data integration from various
unstructured and structured data
sources
 New and easy to use data flow based modeling
experience for ETL requirements
 Load and combine structured and unstructured data
from different data sources (SAP and non-SAP) like
file storages, DBMS or SAP S/4HANA
 Standard transformation capabilities and scripting for
advanced requirements
Data Modeling Services: Data Flow – Overview
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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Data Modeling Services: Data Flow – End to End process
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
Create Connections Build Data Flow Execute / Schedule
Dataflow
Story Designer /
Data Modeling
 Create a connection either in a
central connection management or
inside the context of a space
 show available Semantic objects
 Browse data sources and select
source data objects
 Browse table targets (from repository)
 Define transformations and map
source data to target objects
 Trigger execution of data flow and
see execution status
 Optionally: Schedule a data flow
and find scheduled job in a job
monitor
 Create story based on
loaded data on top of data
warehouse analytical
artifacts
 Build new data models on
integrate different data
sources

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Data Modeling Services: Data Flow – Transformation Capabilities
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
 Combine structured, semi-structured and unstructured data
 Operators for Projection, Aggregation, Join, Filter, Union, Add Table
 Data source can be tables, CDS views, remote files, OData
 Outlook*: Case, Lookup, Cleanse, Rules and JSON, Excel, XML
Standard Transformations Scripting
 Advanced transformation requirements like extraction of text
 Embedded scripting editor in Data Flow Modeler
 Support of standard Phyton 3 scripting language

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The business modeling services offer a clear separation between semantic
modeling (what) and data modeling (how). It enables business users to define
& model their business scenario without an early involvement of technical
experts by abstracting from underlying data models. Giving them the chance
to build rapid PoCs and turn those into productive use cases.
 Business user self service to early explore, validate and model their
business scenarios in Data Warehouse Cloud
 Fosters a non-disruptive environment for business scenarios by being
independent from changes in the data layer
 Bringing business users and technical experts on one common ground
 Demand-Driven modeling using a top down approach*
 Business Catalog
Business Modeling Services: Overview
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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Business Modeling Services: Glossary
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
Business Entity
A self-contained business entity refers to a view on the data layer and represents an object in the business terminology (e.g. Product, Time,
Sales Pipeline) with all its attributes & measures.
Business Entities can be of type Analytical Dataset representing fact table which contain measures and foreign keys. Or they are of type
Dimension representing master data tables containing merely attributes.
Fact Model
A fact model allows to combine multiple business entities as facts and dimensions and to create calculation across multiple facts. Typically fact
models are used to depict more complex yet generic Metrics or KPIs (e.g. Pipeline Coverage). Fact Models can be nested and thus foster a
high re-use.
Consumption Model & Perspectives
A consumption model depicts a certain use case and allows to combine business entities and fact models. They build together with the
perspective the highest level within the business layer. Perspective allow to narrow down the exposed attributes and measures to best serve
the consumption tools (e.g. SAC). A consumption model can have multiple perspectives.
Authorization Scenario
An authorization scenario is meant as a reusable element that reflects a user’s responsibility with the ultimate intent to restrict data access.

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 Business representation within the
enterprise
 Allows business users to model in common
business language and terms
 Encapsulates domain knowledge into
business entities
 Specifies associations between business
entities
 Independent of the underlying Data Layer
 The Business Modeling lays the foundation
for consumption
Business Modeling Services: Business Modeling
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
Open
Pipeline
Pipeline
Coverage
Time
Material
View
Sales
Pipeline
Mock Data
Sales
Quota
View
Time
View
Data
Layer
Business
Layer
map
map
map
map
Sales
Pipeline
View
remap
Auth.
Scenario
Product Responsibility
Product
Hierarchy
Sales
Pipeline
Sales
Quota
Product

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 Pick-up the required business entities to
serve a concrete business need
 Utilize Business Layer associations to get
system support on "auto-wiring" the
business entities
 Enrich with additional calculations
 Run advanced data preview with filtering,
sorting and parameterization* capabilities,
to validate the modeled business logic
 Deploy and publish the consumption model
to any target client (SAP Analytics Cloud,
3rd Party via SQL, etc.)
Business Modeling Services: Consumption Modeling
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
Material
View
Sales
Pipeline
Mock Data
Sales
Quota
View
Time
View
Data
Layer
Business
Layer
map
map
map
map
Sales
Pipeline
View
remap
Auth.
Scenario
Product Responsibility
Product
Hierarchy
Product
Open
Pipeline
Pipeline
Coverage
Time
Sales
Pipeline
Sales
Quota
Deploy the
consumption
model

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 Encapsulate domain knowledge into
business entities
– by mapping complex data models to be
represented in business terms
– by specifying contextualized relationships
between business entities using
Associations
– by creating simple calculated and
restricted measures
 Create independence of the underlying
Data Layer
– by stabilize usage through versioning for
business entities
Business Modeling Services: Business Entities
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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 Allow stacking and re-use of complex yet
generic business logic by utilizing Fact
Models
– create simple calculated and restricted
measures to depict KPIs
 Depict specific use cases using
Consumption Models
– re-use existing fact models and business
entities
– no re-inventing and no duplication of
business logic
 Foster early exploration & validation of
utilizing the Data Preview
Business Modeling Services: Fact & Consumption Modeling
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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 Predefine possible Authorization Scenarios
and set them into context
– Set authorization scenarios on business
entities in context
 Dynamically secure models specific to your
use case
– Apply restriction logic on use case level
– Free your data layer from duplications
due to different restriction permutations
Business Modeling Services: Authorization Scenarios
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
Sales
Pipeline
Sales
Quota
Pipeline
Coverage
Business Entities may offer multiple
Authorization Scenarios
Fact Models may narrow down
relevant & common
Consumption Models/ Perspectives
apply exactly one common
Pipeline
Health

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 One entry point for all objects from Business
and Data Layer
– Start all modeling activities from one place
– Get an instant overview on all available
objects*
 Intuitive Fuzzy Search Function
– Sorting, Filtering, Grouping
– Favorites list
– For spaces, tags, business purpose
 Governance and Modeling Life Cycle
Management
– Artifacts comparison*
– Data lineage function
– Approval and review workflows*
Business Modeling Services: Business Catalog
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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 Data Access Control – Row-level security
– Restrict data access on row-level by predefined filters
 Data anonymization*
– Protect personal or sensitive information
– Structured approach to modifying data for privacy protection while keeping
the data sufficient for meaningful analysis
– Leverage SAP HANA Cloud k-anonymity and differential privacy features
 Data masking*
– Protect sensitive or confidential data
– Leverage SAP HANA Cloud Data Masking feature
Security Services – Overview
Available security services like Row-Level Security provide the necessary
means to protect your data from unwanted access.
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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Security Services – Situation without Data Access Control
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
 All Business Users assigned to a given Space in SAP
Data Warehouse Cloud were able to consume all of the
data
 No possibility to restrict access to data of a
dedicated view for instance
How can I ensure that regional
Sales Representatives see data
from their region only without
creating a dedicated space?

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Security Services – Introducing Data Access Controls
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
 Fine granular access to certain slices of the data of a given view
 Based on authorizations (e.g. In a Sales View, User ‘A‘ can only see
data for region ‘EMEA‘)
Region: EMEA
Region: US

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Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
Column
Sales Unit
 Data Access Control
The Data Access Control secures
the data access by specifying
which column of the entity has to
validated.
SALES
VIEW
Sales Unit Sales Unit 2000
 Authorized Values
Authorized Values to grant data
access to a user, by providing valid
values for the specified column of
the Data Access Control.
Column User Value
Sales Unit Paul.smith@sap.com 2000
SELECT * FROM SALES_VIEW
WHERE ‘Sales Unit‘ == 2000

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Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
Business
Layer
Authorization
Scenario
Data
Layer
Business
Entity
Data Access
Control
View
Data Access Controls
 Allow more granular access to data on row level
 Applied on artifacts in the Data Layer
 Cannot be overruled
 Data Access Controls are defined once and can be
applied to multiple artifacts in Data Layer
 Authorization Scenarios in Business Layer define the
context in which data is consumed and which Data
Access Control is applied
 Consuming objects in Business Layer need to leverage
one of the Data Access Controls assigned to the
underlying source object in Data Layer

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 SAP Analytics Cloud Access to SAP Data Warehouse Cloud Data via
SAC - DWC live connection
– SAP Analytics Cloud Story Builder
– SAP Analytics Cloud Analytics Designer
– SAP Analytics Cloud Data Explorer
– SQL Interface
Consumption – Overview
Connect any SAP Analytics Cloud system to any SAP Data Warehouse
system or consume available data models with your SQL tool of choice.
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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Top Down:
Business users start gaining
insights without any pre-requisites
at all. Connect directly to their
sources or acquire to begin. Data
Blending must be easy to connect
information together to drive
insight
Bottom Up:
Power users can leverage existing
data models or easily create data
models incl. semantics via which
data can be loaded or accessed
live. Data can be augmented
through expressions. Data can be
cleaned.
Top Down:
Power users can start defining business
semantics separately from a physical data
layer.
The DWC semantic layer can be used
additionally or instead of the SAC
modeling services
Bottom Up:
Data engineers can leverage existing data
models through mapping, create high
end data models incl. historic tracking and
map them and connect them into a
business layer. They can administrate and
govern life cycle and consumption.
They can leverage fully fledged ETL/ELT
services incl. pipelining, data
transformations in order to create a robust
data layer for the complete enterprise
Key Focus: Self-service for ad-hoc
data exploration, data visualization,
intelligent augmentation, business
planning
SAC workflows can start from raw
data or existing data models sources
SAP Analytics Cloud
Key Focus: a well defined business
semantic layer, separated from
physical data storage, that maps to
a robust data layer highly optimized
for performance and for of large
scale data volume across a
multitude of data sources
DWC workflows can start from raw
data or existing data models
sources
Mode 1: Instant mode with data
access focus on agility / self-service
Mode 2: Comprehensive mode
with data access focus on volume
& performance
Consumption: SAP Analytics Cloud & SAP Data Warehouse Cloud
Best of Both Worlds
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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Live Data Connectivity across Tenants & Data Centers
 Regardless of the tenant any SAP Data
Warehouse Cloud can be connected across
tenants to any SAP Analytics Cloud
 SAP Data Warehouse Cloud systems are
connected via SAC / DWC Live Connector
 The live connectivity needs to be set up manually
 SAP Data Warehouse Cloud remote connections
can also be set up for SAP Analytics Cloud NEO
tenants
 SAC and DWC can run in different release cycles
(for example SAC @ QRC, DWC @ fast track)
Any number of SAP Data Warehouse Cloud systems can be connected to any number of SAP
Analytics Cloud systems
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
Tenant A
SAP
Analytics
Cloud
Tenant B
SAP Data
Warehouse
Cloud
Tenant C
SAP Data
Warehouse
Cloud
Tenant D
SAP
Analytics
Cloud
Tenant E
SAP
Analytics
Cloud

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Live Data Connectivity Details
 SAC consumes DWC models directly, there is no SAC Live Model on Data
Warehouse Cloud data
 When building an SAC story or analytical application on DWC, the user chooses a
Data Warehouse Live connection, then a DWC space and then a DWC analytical
model
 Stories and Apps build on DWC are stored and maintained in the SAP Analytics
Cloud repository
 SAP Analytics Cloud stories & apps can include data from multiple SAP Data
Warehouse Clouds, multiple spaces from SAP Data Warehouse Cloud, multiple
models in multiple spaces from DWC plus any other data from SAC live and local
models
 Please note that SAP Analytics Cloud has certain functional limitations depending
on the connected live data source. For limitations on SAP Data Warehouse Cloud
live data connectivity please refer to note: 2832606
Tenant A
SAP
Analytics
Cloud
Tenant B
SAP Data
Warehouse
Cloud
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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SAP Analytics Cloud is SAP’s premiere analytics self-
service platform to access SAP Data Warehouse Cloud
 Use generated SQL views to connect any 3rd-party
front end tool
 Freedom of choice: any front end decision
Consumption: Use any tool of your choice
Consumption
On-Premise Sources
SAP Cloud Sources
API 3rd-party
consumption
API 3rd-party
data load
3rd-party
Data Lake
SAP HANA Cloud
In-Memory Disk
Storage
Virtual Access
Repository
Services
Data Modeling
Services
Data
Warehousing
Services
Governance
Services
Business
Modeling
Services
Security
Services
Data
Ingestion
Data
Sources
SAP Data
Warehouse
Cloud
On-Premise Sources
SAP Cloud Sources
Predictive
Applications
Analytics
API 3rd-party
data load
3rd-party
Data Lake
SAP HANA Cloud
In-Memory Disk
Storage
Virtual Access
Repository
Services
Data Modeling
Services
Data
Warehousing
Services
Governance
Services
Business
Modeling
Services
Security
Services
Data
Ingestion
Data
Sources
Consumption
SAP Data
Warehouse
Cloud
Predictive
Analytics
SAP Analytics Cloud Integration
API 3rd-Party
consumption
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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 Enables data visualization designers to build
stories that are rich in interactivity directly on
SAP Data Warehouse Cloud Models
 Story consumers can easily explore charts and
data quickly to find additional insights in their
SAP Data Warehouse Cloud data using the
responsive and intuitive interface
Consumption: SAP Analytics Cloud Story Builder
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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 Enable SAP Analytics Cloud Data
Exploration in your Stories
 Business Analysts can deep dive into their
SAP Data Warehouse Cloud data via
intuitive faceted search
Consumption: SAP Analytics Cloud Data Explorer
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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 Enables application designers to build highly
interactive enterprise dashboards or analytic
applications directly on SAP Data Warehouse
Cloud Models
 Application consumers can easily consume
these analytic applications in their SAP Data
Warehouse Cloud data using the responsive
and intuitive interface
Consumption: SAP Analytics Cloud Analytics Designer
Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content

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Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
 Semantic Objects like Dimensions, Hierarchies, Facts, and
KPIs to build the Semantic Layer*
 Pre-defined connectors to SAP data sources for live-access
and data replication*
 Out-of-box integration with SAP Analytics Cloud
 Use Content Network for Lifecycle Management and
Business Content Import (SAP and partner)
Business Content – Outlook
Continuous delivery of Line of Business and Industries
content packages to support the Intelligent Enterprise.
Imported content can be adapted and extended.*
SAP Analytics Cloud
Partner Content
Business Catalog
SAP LoB and
Industry Content

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Governance
Services
Data Sources &
Ingestion
Repository
Services
Data Modeling
Services
Business Modeling
Service
Security
Services
Consumption &
Business Content
Business Content Packages *
SAP Content
 Automotive: Responsive Supply Network, Sales and
Inventory
 Consumer Products: Revenue Growth Management
(Foundation)
 Financial analytics dashboard for SAP Analytics Cloud
 Retail: SAP Consumer Sales Intelligence
 Utilities: Meter to Cash
Partner Content also listed AppCenter
 Adverity GmbH – Marketing Analytics for SAP Data Warehouse
Cloud
 Bitech.AG: Customer Service Insights on SAP Data Warehouse
Cloud
 CubeServ: Procurement Cockpit for SAP Data Warehouse Cloud
 datazeit: E-Commerce Insights in SAP Data Warehouse Cloud
 IBSolution: Sales Dashboard for SAP Data Warehouse Cloud
 Inspired Intellect: Optimizing Order Fulfillment with Machine
Learning
 KPC: HR Cockpit - Automatic Attendance Tracker
 PwC Sales Insight - One place, all your sales data
 Reply: MOSAIC – Margin-Optimized Sales Intelligence
 Rizing: Lyra Integrated Capacity Planning
 s-peers AG: Financial Reporting for SAP Business One
 Westernacher: EWM Insights on Data Warehouse Cloud

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More Information about SAP Data Warehouse Cloud
Find out more at
www.sapdatawarehouse.clou
d
• Onboarding Guide
• Learning Academy
• Blogs
SAP Help Documentation
Calculator
SAP Road Map Explorer
SAP Community
Sample Content on GitHub
Provide your feedback:

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Get your
30-Day free trial today

Thank you.
Product Management

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