2020.04.28-ASUG_Introduction-to-Extracting-data-from-S4HANA-with-ABAP-CDS-views.pdf

Introduction to Extracting data from
S/4HANA with ABAP CDS-views
Éva Szabó and Dayanand Karalkar
Analytics and Insight – Principal Consultant
SAP

2 © 2020 ASUG Confidential
Agenda – session 1
• A bit of background
• Overview of Architecture
• S/4HANA Cloud vs S/4HANA on Premise
• S/4 HANA on Premise: extracting data to BW/4HANA
• S/4HANA Cloud: extract data to BW/HANA
• Overview of available Content
• Questions

Instant, real-time
insights
Mainframe
1972 1992 2004 2011 2012/2013 2015
SAP ERP
www / mysap.com
SAP R/3
Client/Server
SAP R/1 R/2
Mainframe The Digital Core
Suite on HANA
Tx/ Apps on Hana
SAP HANA
In Memory
 High Performance Data
Warehousing
 Strategic Planning
Scenarios
 Next Generation DW
 Big Data Integration
 Effortless Data Tiering
 Simplified, Modern UX
 Openness to native HANA
 Operational Reporting
 Data warehousing
 Initial Release for
SAP Reporting
2016
1997
SAP BW on any DB SAP BW on HANA
SAP BW
1.0
2017
using
SAP Leonardo
SAP BW/4HANA

ON-PREMISES
SAP BW/4HANA and SAP SQL Data
Warehousing are the strategic solutions
for data warehousing on-premises.
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 Data Warehouse Cloud is not intended to replace any on-premises SAP Data Warehousing solution.
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

SAP
S/4HANA
SAP BW/4HANA
SAP BW/4HANA is an EDW
▪ Allows harmonization of all enterprise data (ERP + non-SAP, governance, corporate memory, big data, …)
▪ Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
▪ Provides openness with SAP Analytics and SAP data management (SAP Data Warehouse Cloud, SAP Data Hub/Intelligence, SAP HANA
SQL DW, ...) for Big Data and Internet of Things (IoT) use cases, and SAP Analytics which also extend SAP S/4HANA
Why is SAP BW/4HANA the perfect EDW for SAP S/4HANA?
▪ Allows best integration capabilities based on common architecture and terminology (e.g. analytical engine, currencies, user
maintenance, ABAP, transports, governance, …)
▪ Extends seamlessly the business case of SAP S/4HANA including the Out-of-the-box connectivity with native SAP BW/4HANA tools (e.g.
ODS, Extraction, ODQ?, etc.)
▪ Availability of specific business content for SAP S/4HANA (and other Intelligent Suite applications)
SAP S/4HANA is not an EDW
▪ SAP S/4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized, tuned, and maintained for optimal
performance as transactional system
▪ A modern simplified architecture, the new user experience (SAP Fiori) and integrated intelligent technologies such as Machine Learning
allow for new business processes and even automation
▪ SAP S/4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside of transactions -
embedded BW only for support of transactional workflows

Why SAP BW/4HANA for SAP S/4HANA?
Leveraging SAP BW/4HANA you can natively integrate the embedded
analytics models and data in SAP S/4HANA, e.g. to compare real-time actuals
with historical snapshots, planning results or external data.
Please refer to the respective integration blog and How-to-Guide on
www.sap.com for further details.
Examples for best-in-class integration are:
▪ Out-of-the-box connectivity
▪ Visualize SAP S/4HANA data in SAP BW/4HANA without data structure
creation in SAP BW/4HANA
▪ Standard Extractors (ABAP CDS and ABAP via S-API), as well as open
extensibility
▪ Fast time-to-value enterprise-wide Data Mashups using SAP BW/4HANA-
native objects (composite providers, etc.)
▪ Strong data historization capabilities (e.g. easy tracking of slowly changing
dimensions)
▪ Integrated planning use cases based on all necessary existing and
harmonized data
Transact. Tables
SAP
S/4HANA
SAP
HANA
SAP
BW/4HANA
SAP DWH
Data
SAP Fiori SAP Analytics
Embedded BW:
• SAP does not recommend using Embedded BW for data
warehouse (EDW) use cases!
• For details, see SAP Community blog and SAP note 1661202,
(e.g. Upgrades and patches, Resource allocation and capacity
planning, Workload Management, Backup & Recovery,
Lifecycle management, High Availability & Disaster Recovery,
Security etc.)
• Best practice: The amount of data persisted in the Embedded
BW should not exceed 20% of the overall data volume of the
system.
• Embedded BW is not an SAP BW/4HANA
• More information here.
SAP
HANA
BW/
OLAP
SAP S/4HANA
embedded
analytics

SAP BW/4HANA
SAP HANA
SAP Analytics
SAP S/4HANA
SAP Data
Warehouse Cloud
SAP HANA SQL Data Warehouse
Other systems
▪ Legacy
▪ Big Data (Data
Lakes)
▪ Etc.
SAP Data
Hub
Data
Intelligence
Embedded Analytics
Embedded BW

Analytics with SAP S/4HANA – high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models
(for analytical and transactional purposes)
SAP Fiori UI
analytical apps, reports, KPIs,… delivered as part of SAP S/4HANA, extensible by
the customer
Odata services
SAP Analytics
access SAP S/4HANA data directly via
Transient analytical queries
SAP S/4HANA
SAP BW/4HANA
(for seamlessly extending transactions
with data warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Transient analytical queries
SAP Data
Warehouse
Cloud
Database
tables on
SAP HANA
Cloud

Data Integration from SAP S/4HANA (on-premise) to SAP BW/4HANA and SAP
BW Comparison
Aspect Service API Extractors ABAP CDS Views Table Replication
Latency No / very limited real-time support Near-real-time support in delta transfer Always near-real-time
Reconciliation Extractors for data transfer and ABAP
CDS for embedded analytics
Same data basis for embedded analytics in
S/4HANA and for extraction
Reconciliation on table level
Federation Very limited support for direct access Direct access to ABAP CDS View possible Direct access to table data via HANA
Smart Data Acces
Business Content Activation step in S/4HANA needed.
High coverage (> 6.000 extractors)
Active CDS View is ready to extract.
Limited coverage at this time (but
planned)
N/A
Application Logic Specific advanced logic in ABAP via
extractor or application coding.
Support for business logic in ABAP CDS Application logic modelled in target
system
Delta Types Depending on extractor → all
DataStore Object types supported
After- and Delete-Images → needs
Standard DataStore Objects
After- and Delete-Images → needs
Standard DataStore Objects
Cloud Readiness Service API not cloud ready (e.g.
extensibility for extractors)
Full cloud support Very limited support in cloud context
(direct DB access required)

Data Integration from SAP S/4HANA (on-premise) to SAP BW/4HANA and SAP BW
SAP BW/4HANA
ODP-SAPI DataSource ODP-CDS DataSource ODP-SLT DataSource
SAP S/4HANA
S-API Extractor ABAP CDS View
• Documentation
• How to use ABAP CDS for
Data Provisioning in BW
• Documentation
• SAP Note 2500202 (Extractor
Whitelisting in S/4HANA)
• SAP Note 2232584 (Release for
ODP) (> 95%
extractors are released)
• Documentation
• Real-Time Replication using
Operational Data Provisioning
(ODP) >= SAP BW 7.40
Table Table Table
SLT
ODP
ODQ ODP
ODQ ODQ ODP
ODQ
Further Information
*
*Alternative: replication
to HANA Native Table

SAP BW/4HANA
ODP-CDS DataSource
SAP S/4HANA Cloud
ABAP CDS View
Table
ODP
ODQ
▪ Technical framework and connectivity (HTTP / SOAP
based) between BW/4HANA and S/4HANA Cloud
(communication scenario) available with S/4HANA
Cloud 1808
▪ First wave of ABAP CDS Content for extraction and
first version of key user tools for Extensibility with
S/4HANA Cloud 1811
▪ Further ABAP CDS Content for extraction and
possibility to extract Custom Business Objects with
every release
▪ Option to create own ABAP CDS extractors with
S/4HANA Cloud >= 1908
▪ Related Documentation
– Extracting CDS Views to SAP BW/4HANA
– Creating Source Systems of Type ODP (HTTP)
– Transferring Data from SAP Systems via ODP (ABAP CDS
Views)

ABAP CDS View Extraction
Enhancements to technical architecture with S/4HANA Cloud 1905
HANA DB
SAP S/4HANA (on Premise or Cloud)
Internal SQL View
SAP Data Services
ABAP CDS View
Data Pipeline
dataExtraction.enabled: true
ODP
Table Table
ODQ
Delta Field in View
Delta
Service
Metadata
Delta Check
(every 15 sec)
Data
SAP HANA SDI
D
e
l
t
a
D
e
l
t
a
ODP-CDS Source
System
JCO RFC / http
D
e
l
t
a
A
P
I
CDC
Trigger
Delta based on
Date / Timestamp
RFC or HTTP
SAP Data Hub
SAP BW/4HANA ▪ ABAP CDS Views need the
“dataExtraction.enabled” annotation
(for any extraction)
▪ Additional annotation for (real-time)
delta extraction based on change data
capture
– Combine real-time trigger
information on table level (SLT)
with data extraction on semantic
level (ABAP CDS / ODP)
– Annotation to define per ABAP CDS
View tables and fields relevant for
delta recording (change data
capture)
@ANALYTICS.DATAEXTRACTION.DELTA.CHANGEDAT
ACAPTURE:

S/4 HANA Cloud – BW On-Premise extraction Overview
Define Inbound Communication using
Communication Management
Create Source System of type ODP
(HTTP)
Utilises Standard Communication Scenario
SAP_COM_0042
Web Service Configuration using
Consumer proxy CO_RSDSPX_ODP_IN
Communication Management Creating Source System of Type
ODP(HTTP)
HTTPS

S/4 HANA Cloud Communication Management
❑Inbound Communication Process Overview
Create
Communication
User
Create
Communication
System
Create
Communication
Arrangement
❑ Business Role for Communication Management Configuration: SAP_BR_ADMINISTRATOR
❑ Communication Management Business Catalog ID: SAP_CORE_BC_COM

SAP BW Creation of ODP(HTTP) Source System
❑Create new source system of type ODP-ABAP CDS View
❑Provide Source system Name & Description and Choose Continue
❑ In the following screen select HTTP/SOAP as communication Channel
❑Configure Logical Port in SOA Manager

Create a CDS Source system in BW
Create ODP Source System
Before we can start using CDSVs to bring data to BW, we must make sure that the system where the data
resides is available as a CDS Source System in BW.

Create a extraction enabled CDSV
I_COSTCENTERACTIVITYTYPE
The CDS view name, Analytics data Category and SQL
view name are needed for the following steps

• Switch to the BW perspective:
• For S-API extractors, we used the option “replicate data sources”. The
procedure to make CDSVs available as an extractor on the BW is a bit
different.
Attach extraction enabled CDSV to dataflow
The SQL view name is
required to find the data
source, in this case
IFICCActType

• Make sure you are still in the BW Perspective, or switch to it with
Consume the data from the CDSV with
BW-MT
Press finish and activate. This ODS view has direct access
to the CDSV with this BW datasource. Use to check

• Monitoring can be done with the BW/4HANA Cockpit
Monitoring Data Load in BW from S/4HANA Cloud

FAQs for CDS based extraction from colleagues from the field
S/4 Cloud S/4 On Premise
How to find extraction CDS views In View Browser App Restrict to “Released Views and search for
@Analytics.dataextraction.enabled:true
What can I extract Master Data, Text, Hierarchies & Transactional data
Communication S/4 Scenario SAP_COM_0042 &
HTTPS source system in BW
ODP source system of type ABAP CDS
using RFC
Delta Extraction CDC delta since 1905
Timestamp based delta before 1905
CDC Delta since 1909
Timestamp based delta before 1909
Monitoring Data extraction FIORI app “Operational Data
Provisioning Monitor Queues”
Transaction ODQMON
Enhancement Options Planned to have an option to include
extraction views in “Custom CDS
View” app
Few of the delivered views are
registered for Filed Extensibility
Customers can create own CDS views
ODP BADIs Not applicable Not possible to enhance using ODP
BADIs

Overview of available Content
CDSV Extr 2002
The attached excel contains a snapshot of available C1 released CDSV 2002. CDS view
carrying the extractor annotation. The annotation grants the “extractor” status
through annotation, and sometimes it happens that for a certain CDSV this status is
revoked. The applicable set of extractors can be found in your own S/4HANA
environment. More detailed information can be found in the SAP Support Portal.

Check/test existing and used BW
setup and extractors
What is still working (functional fit
and/or SAP supported content)*?
Which frontends have been created
using the BEx?
Do housekeeping! What is still
necessary?
Establish the status quo of
BI/Analytics
Have data sources changed?
Does Big Data play a role?
Do housekeeping! What is still
necessary?
Separate analytical requirements
(along the business processes)
between the operational system,
the BI/Analytics layer and the EDW.
Explore how a target architecture
would look like ideally using SAP
S/4HANA, SAP BW/4HANA, and SAP
Analytics BI/PA/Planning.
For pure operational analytical
requirements:
Check existing content, applications
and capabilities in SAP S/4HANA
embedded analytics. See what you
can do out-of-the-box.
For all analytical requirements,
check Business Content in SAP
Analytics and SAP BW/4HANA.
Plan detailed steps to implement all
remaining analytical requirements
(e.g. by extending SAP S/4HANA, or
by exceptional usage of SAP
Analytics Cloud and SAP
BW/4HANA for operational
reporting) - your choices need to be
based on project realities (e.g.
individual preferences, strategy,
efforts, available functionality)
Planning the migration from SAP ECC with SAP BW to SAP S/4HANA with
BW/4HANA
*Prerequisite: SAP BW/4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where?
Check SAP
S/4HANA
Rebuild
and
Extend
Check Status
quo
BI/Analytics

• SAP S/4HANA embedded analytics
• Operational data
• Real-time data access
• Transactional decision support
• KPI-driven process handling
• SAP BW/4HANA – Core EDW
functions
• Data replication (for Snapshots,
Performance enhancements)
• Enterprise-wide data
harmonization
• Data governance
• Data federation/mashing (EDW)
• LSA modeling
• SAP and non-SAP data
• Planning
• Archiving (for delta comparison)
Now: what to do where?
Exceptions (related to visualization preferences, cost, time, …)
SAP Analytics Cloud
• Best visualization
• Focus on cloud-based source
systems (e.g. SAP S/4HANA Cloud,
MTE)
• Data federation/mashing (without
EDW harmonization)
• SAP and non-SAP data
• Planning
• Self Service BI

Questions?
For questions after this session, contact us at eva.szabo@sap.com and
dayanand.karalkar@sap.com

Thank you.
Stay connected. Share your SAP experiences anytime, anywhere.
Join the ASUG conversation on social media: @ASUG365 #ASUG

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