SlideShare a Scribd company logo
1 of 29
Download to read offline
PUBLIC
Lothar Henkes
VP Product Management, SAP EDW
September 2018
SAP BW/4HANA – Overview and Roadmap
2PUBLIC© 2018 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
Overview
4PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
The Three Approach-Strategy for SAP HANA Data Warehousing
SAP HANA Platform
SAP BW/4 approach SQL approach
(extendable by third-party-tools)
Mixed approach
Data Warehouse
SAP HANA
Application
Services
SAP HANA
Integration
Services
SAP HANA
Processing
Services
SAP HANA
Database
Services
SAP Business Warehouse
SAP BW/4HANA
SAP HANA native
SQL Data Warehouse
6PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP BW/4HANA Architecture
SDAEIM
Calc
Eng
DBAFL
SAP HANA Platform
Non-
SAP
File
SAP
Sources
Hadoop
3rd
Party
ETL
SAP IQ/
HADOOP
Archive
Sources
SAP HANA
Modelling
Tools
SAP
BW/4HANA
Modelling
Tools
Metadata
repository
SAP BW/4HANAApplication
Data Warehousing
Analytical Manager Workspaces
Open Hub
ODP
BPC Planning
Developer
Tools
Business User Tools
SAP Analytics
3rd Party
Analytics
SAP Vora
ODP
SAP BW/4HANA is…
• a new (innovation) code line
• not part of and does not depend on a
NetWeaver delivery
• based on the ABAP application
server and SAP HANA
• running on premise or in the cloud
• not the legal successor of SAP BW
powered by SAP HANA
• the “logical successor” of SAP BW
powered by SAP HANA
Planning
7PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP BW/4HANA Design Principals
Easier access
to all information
Work with HANA in BW
mode, or in native SQL
mode, or both
Reduced
development efforts
Get up and running
sooner and keep
running at lower cost
SimplicityOpenness Modern InterfaceHigh Performance
New user interface for
all users
Simplify access for
everyone, not just
database experts
10-100x faster query
performance
Leverage huge amounts
of data in real time
for competitive advantage
Conversion
Powerful transition
tools
Convert models, flows,
and data from SAP BW
to SAP BW/4HANA
8PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Simplicity: Simplifying the Models
Classic SAP BW
• Number of Modelling object types
reduced from 10 to 4 (60% less)
• No complex data structures
(extended star schema)
• Field or InfoObject based modelling
• Greater control of data persistency
and virtualization
• Support for external, structured and
unstructured data
InfoCube6
DataStore Object7
Hybrid Provider8
PSA Table9
InfoObject10
Transient Provider5
Virtual Provider4
CompositeProvider3
InfoSet2
MultiProvider1
CompositeProvider1
Open ODS View2
DataStore Object (advanced)3
InfoObject4
VirtualizationPersistency
SAP BW/4HANA
9PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Simplicity: Simplifying the Dataflows
topdownModelling
bottomupModelling
Virtualization/ Virtual Data Marts
Architected
Data Mart
Source
Staging Layer/
Corporate Memory
Open ODS Layer/
Raw DWH
Propagation Layer/
Integrated DWH
mandatory
layer
optional
layers
depending on
business
needs
and required
service level
• Report at any layer of the Data
Warehouse with speed and flexibility
• Virtually combine data across layers
• Business and service level driven
• Combining bottom-up and top-down
modelling approaches allows for agile
and flexible development
10PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Scale SAP BW/4HANA using
Data Tiering Optimization
(DTO)
• Consistent approach for hot,
warm and cold data
• Allocate temperature by
partition
• Displace data automatically
between hot, warm and cold
storage
• Support for cold storage in
SAP HANA Vora (disk
engine) and Hadoop File
System (HDFS)
• Support for multiple
extension nodes
Simplicity: Simplifying the Data Aging Process
SAP HANA Extension Nodes SAP IQ
Hadoop
Automatic Displacement of Data
Hot Data Warm Data Cold Data
SAP HANA in-memory
Extension Node with relaxed
memory requirements
Allocate by aDSO or aDSO
partition
SAP HANA in-memory
Allocate by aDSO or aDSO
partition
SAP IQ / Hadoop storage /
SAP Vora
Allocate by aDSO
partition
11PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP BW/4HANA simplifies data
integration, offering comprehensive
access to external systems
• Number of source system types
reduced from 10 to 4
• Replicate data in real-time (HANA
SDI based replication or via ODP -
especially with ODP-SLT)
• Access data virtually
• Load data using optimized
processing
Openness: Comprehensive Access to all Data
data
load
SAP HANA
HANA
Source System
Extractors
ODQ
direct
access
real-time
replication
SLT ABAP
CDS
BW Business
ByDesign
SAP BW/4HANA
HIVE SPARK VORA
Hadoop
ODP
Source System
Big Data
Source System
File
Source System
SAP EIM
SAP Data
File
Big Data File
RDBMS
/Hadoop
StructuredSocial Media
EmailText
Non-SAP Data
12PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Openness: Big Data Integration with SAP Data Hub
Hadoop
(HDFS)
SAP
HANA
SAPDataHub
Console
3rdParty
SAPPA/Spark
Scala/Python
SAPAnalyticsCloud
STREAM
COPY
BATCH
JOIN
FILTER
CLEANSE
LOCK-UP
SCRIPT
MASK
ANYMONIZE
PARSE
Store & Process
LOAD
EXTRACT
FEDERATE
TRANSFORM
Master
Data
Master
Data
MODELLING
 Combine refined big data with enterprise
data and corporate master data
 Extract or federate data into
SAP BW/4HANA
 Ingest data into S3 as landing zone for data
 Orchestrate and schedule all related processes
 Implement transformations and data pipelines
 Harmonize data structures and look up of
reference data
 Execute operations on large data volumes
SAP
VORA
Example Scenario
SAPBW/4HANA
OrchestrateAccess
13PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Openness: Big Data Integration with SAP Data Hub
Integration with SAP Data Hub
• Start Data Hub Task Workflows from
BW/4HANA Process Chain
• Specific Process Type “Data Hub
Workflow”
15PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Developer User Interface – Introducing the new Dataflow Modeller
Modern Interface: Faster to Learn, Easier to Use
16PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Modern UI: SAP BW/4HANA Modeling Tools in Eclipse
Unified UI for all BW/4HANA Modeling (requires
BW Modeling Tools Version 1.19)
New Data Transfer Process Editor
• Integrated with Data Flow Modeler
• Full DTP functionality
New Transformation Editor
• Integration with Data Flow Modeler
• All transformation capabilities
17PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Modern UI: SAP BW/4HANA Web Administration Tools
SAP BW/4HANA Cockpit – single entry point
for administration and monitoring
• Access to Process Chain Modeler and
monitors for Process Chain status and
statistics
• Management of data loads for ADSOs and
InfoObjects
• Fiori launchpad – easy to configure and
personalize
• Access from any device
18PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Modern UI: SAP BW/4HANA Web Administration Tools
Process Chain Modeler and Monitor
• State-of-the-art modeling UI
• Intuitive, comprehensive monitoring tool
for detailed error analysis and recovery
19PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Business User Interface – Integration with SAP Analytics (on-premise and cloud)
Modern Interface: Faster to Learn, Easier to Use
20PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
High Performance: Analytical Engine*
Automated Query Execution Mode Optimizer
including machine learning
Query Cell based Documents for adding
comments**
Enhanced performance
• by optimized query parallelization
• for Analysis for Office** Query
Catalog Search
Advanced reporting features for Analysis for
Office***
* A blog for detailed information is available
** available with Analysis Office 2.7 - planned for the end of May 2018
*** SAP Analysis for Microsoft Office Roadmap
Product Roadmap
SimplicityOpenness Modern InterfaceHigh Performance
24PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
One Code-line, Three Ways to Innovate
Project Blueberry
(public cloud)
SAP BW/4HANA 2.0
(on-premise, private cloud)
Continuous Innovation
(single code-line)
Initial Focus:
 Highly Standardized
 Fiori Admin UIs
 End-to-End with SAP Analytics Cloud
 Small to Medium Sized Systems
Focus:
 Integration with SAP Data Hub
 SQL + ML
 Large Systems
SAP BW/4HANA 1.0
Joint Focus:
 Cloud connectivity
 Data modeling enhancements
 Data Privacy Workbench
 …
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.
26PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP BW/4HANA Roadmap – Planned Innovations
Planned for 2019 – SAP BW/4HANA 2.0 and Project Blueberry
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.
Simplicity
Modern Interface
Openness
High Performance
Project Blueberry
 SaaS data warehousing offering
tightly integrated with SAP Analytics Cloud
DataStore Object write interface for SAP Data Services
Data Tiering Optimization (DTO)
 Updates to cold data (external storage)
 Inventory ADSOs
Integration with SAP Data Hub
 BW/4 Metadata integration enabling lineage/impact analysis
 DataStore Object write interface for SAP Data Hub
Integration with SAP Cloud Platform
 Availability of SAP BW/4HANA APIs
SQL data access for extraction/lookup from DataStore Objects
Integration with SAP Cloud Solutions via SAP Cloud Platform
Integration (CPI)
SAP BW/4HANA Modeling Tools
 Mass-modeling for objects in Data Flow and Semantic Groups
 Planning tools (planning functions)
 Data Flow Documentation Generation (HTML)
Web-based Administration & Monitoring e.g. DTO temperature
maintenance cockpit
Further Push-down of OLAP Capabilities
 Conditions (having, ranking, …)
 Dedicated performance optimization for SAC
27PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP BW/4HANA Roadmap – Product Direction
2020 and Beyond
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.
Simplicity
Modern Interface
Openness
High Performance
Project Blueberry
 Deep integration with SAP Analytics Cloud
 SAP Data Hub and Big Data integration
 Industry content
Data Tiering Optimization (DTO)
 Support for several external storage destinations
 Further cold storage options based on SAP Vora and Hadoop
 DTO automation – rules and statistics based
System Health Monitoring and Prediction
Machine-learning Based DW Administration
Integration with SAP Data Hub
 Tight repository interoperability (common transports & improved
impact analysis)
 Seamless data exchange
Open Hub Modernization
Further Push-down of OLAP Capabilities
 Current member
Leveraging new SAP HANA engine capabilities for
Analytics and Transformations
Leveraging new HANA elasticity and scalability enhancements
28PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP BW/4HANA Roadmap – Product Vision
2021 and Beyond
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.
Simplicity
Modern Interface
Openness
High Performance
Project Blueberry
 Integration with SAP HANA native approaches
Data Tiering Optimization (DTO)
 Machine learning based automation
Continued System Health Monitoring and Prediction
Continued Machine-learning Based DW Administration
Further integration with SAP Data Hub providing Big Data
Warehouse architectures
Leveraging new SAP HANA engine capabilities for
Analytics and Transformations
Additional Information
32PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
A holistic system analysis is the foundation for further planning steps towards a successful and smooth system
transition to SAP BW/4HANA. The SAP Readiness Check for SAP BW/4HANA is a self-service and
summarizes the most important aspects of the conversion in an easy consumable way.
SAP Readiness Check for SAP BW/4HANA
SAP Readiness Check for
SAP BW/4HANA
Self-Service
services@SAP
https://help.sap.com/viewer/p/SAP_READINESS_CHECK
https://launchpad.support.sap.com/#/readiness
33PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
More Information about SAP BW4/HANA
SAP BW/4HANA Landing Page
http://sap.com/bw4hana
SAP BW/4HANA Community / Product Page
http://sap.com/bw4hana10
SAP BW/4HANA Documentation
http://help.sap.com/bw4hana10
SAP BW/4HANA FAQ
SAP BW/4HANA Roadmap
Analytics Solutions from SAP for SAP
BW/4HANA Customers Roadmap
SAP BW/4HANA Blogs / Community Blogs
SAP BW/4HANA Events
SAP BW/4HANA Webinars
SAP BW/4HANA on Twitter
SAP BW/4HANA Videos / YouTube Channel
SAP BW/4HANA HANA Academy Videos
SAP Training and Certification for SAP BW/4HANA
Road Map for Transition to SAP BW/4HANA
SAP Best Practices for In-place System
Conversion to SAP BW/4HANA
Thank you.
Contact information:
Lothar Henkes
VP Product Management, SAP EDW
SAP SE
Lothar.henkes@sap.com
35PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP BW/4HANA: The Solution for Modern Data Warehousing
A simpler, faster, and more agile data warehouse
DATABASE MANAGEMENT
Web Server JavaScript
Graphic
Modeler
Data Virtualization ELT & Replication
Columnar
OLTP+OLAP
Multi-Core &
Parallelization
Advanced
Compression
Multi-tenancy Multi-Tier
Storage
Graph Predictive Search
Data
Quality
Series
Data
Business
Functions
Hadoop &
Spark Integration
Streaming
Analytics
Application Lifecycle
Management
High Availability &
Disaster Recovery
OpennessData
Modeling
Admin &
Security
Remote
Data Sync
Spatial
Text
Analytics
Fiori UX
APPLICATION DEVELOPMENT DATA INTEGRATION & QUALITYADVANCED ANALYTICAL PROCESSING*
SAP HANA + SAP BW/4HANA
DATA WAREHOUSING
Analytic
Services
Open Interfaces Business Planning &
Consolidation
Services *
Data Modeling
Objects &
Services
Modeling ToolsData
Warehousing
Services
Data Acquisition
Services
* Additional license might be required
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP SE or an SAP affiliate company.
The information contained herein may be changed without prior notice. Some software products marketed by SAP SE and its distributors contain proprietary software components
of other software vendors. National product specifications may vary.
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP or its affiliated
companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP or SAP affiliate company products and services are those that are
set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty.
In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release
any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliated companies’ strategy and possible future developments, products, and
platforms, directions, and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason without notice. The information
in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. 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, and they
should not be relied upon in making purchasing decisions.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company)
in Germany and other countries. All other product and service names mentioned are the trademarks of their respective companies.
See http://global.sap.com/corporate-en/legal/copyright/index.epx for additional trademark information and notices.
© 2018 SAP SE or an SAP affiliate company. All rights reserved.

More Related Content

What's hot

SAP HANA for SAP Overview
SAP HANA for SAP OverviewSAP HANA for SAP Overview
SAP HANA for SAP OverviewIliya Ruvinsky
 
Overview of SAP HANA Cloud Platform
Overview of SAP HANA Cloud PlatformOverview of SAP HANA Cloud Platform
Overview of SAP HANA Cloud PlatformVitaliy Rudnytskiy
 
SAP HANA Migration Deck.pptx
SAP HANA Migration Deck.pptxSAP HANA Migration Deck.pptx
SAP HANA Migration Deck.pptxSingbBablu
 
Rise with sap s 4 hana cloud, private edition service description guide
Rise with sap s 4 hana cloud, private edition service description guideRise with sap s 4 hana cloud, private edition service description guide
Rise with sap s 4 hana cloud, private edition service description guideDharma Atluri
 
SAP NetWeaver BW Powered by SAP HANA
SAP NetWeaver BW Powered by SAP HANASAP NetWeaver BW Powered by SAP HANA
SAP NetWeaver BW Powered by SAP HANASAP Technology
 
Sap S/4 HANA New Implementation
Sap S/4 HANA New ImplementationSap S/4 HANA New Implementation
Sap S/4 HANA New ImplementationSoumya De
 
L1_RISE_with_SAP_NNN_V3.4.pptx
L1_RISE_with_SAP_NNN_V3.4.pptxL1_RISE_with_SAP_NNN_V3.4.pptx
L1_RISE_with_SAP_NNN_V3.4.pptxGuruprasad Bellary
 
S/4 HANA conversion functional value proposition
S/4 HANA conversion functional value propositionS/4 HANA conversion functional value proposition
S/4 HANA conversion functional value propositionVignesh Bhatt
 
Accelerate your journey to SAP S/4HANA with SAP’s Business Technology Platform
Accelerate your journey to SAP S/4HANA with SAP’s Business Technology PlatformAccelerate your journey to SAP S/4HANA with SAP’s Business Technology Platform
Accelerate your journey to SAP S/4HANA with SAP’s Business Technology PlatformSAP Technology
 
SAP BW - Info object (characteristics)
SAP BW - Info object (characteristics)SAP BW - Info object (characteristics)
SAP BW - Info object (characteristics)Yasmin Ashraf
 
SAP S/4HANA: Everything you need to know for a successul implementation
SAP S/4HANA: Everything you need to know for a successul implementationSAP S/4HANA: Everything you need to know for a successul implementation
SAP S/4HANA: Everything you need to know for a successul implementationBluefin Solutions
 
Principles of SAP HANA Sizing - on premise and cloud-1.pdf
Principles of SAP HANA Sizing - on premise and cloud-1.pdfPrinciples of SAP HANA Sizing - on premise and cloud-1.pdf
Principles of SAP HANA Sizing - on premise and cloud-1.pdfCharithNilangaWeeras
 

What's hot (20)

SAP HANA for SAP Overview
SAP HANA for SAP OverviewSAP HANA for SAP Overview
SAP HANA for SAP Overview
 
Overview of SAP HANA Cloud Platform
Overview of SAP HANA Cloud PlatformOverview of SAP HANA Cloud Platform
Overview of SAP HANA Cloud Platform
 
SAP ECC to S/4HANA Move
SAP ECC to S/4HANA MoveSAP ECC to S/4HANA Move
SAP ECC to S/4HANA Move
 
Migration to sap s4 hana
Migration to sap s4 hanaMigration to sap s4 hana
Migration to sap s4 hana
 
SAP HANA Migration Deck.pptx
SAP HANA Migration Deck.pptxSAP HANA Migration Deck.pptx
SAP HANA Migration Deck.pptx
 
Rise with sap s 4 hana cloud, private edition service description guide
Rise with sap s 4 hana cloud, private edition service description guideRise with sap s 4 hana cloud, private edition service description guide
Rise with sap s 4 hana cloud, private edition service description guide
 
Migrating to SAP S/4HANA
Migrating to SAP S/4HANAMigrating to SAP S/4HANA
Migrating to SAP S/4HANA
 
SAP NetWeaver BW Powered by SAP HANA
SAP NetWeaver BW Powered by SAP HANASAP NetWeaver BW Powered by SAP HANA
SAP NetWeaver BW Powered by SAP HANA
 
Sap S/4 HANA New Implementation
Sap S/4 HANA New ImplementationSap S/4 HANA New Implementation
Sap S/4 HANA New Implementation
 
SAP S/4 HANA Technical assessment before migration
SAP S/4 HANA Technical assessment before migrationSAP S/4 HANA Technical assessment before migration
SAP S/4 HANA Technical assessment before migration
 
SAP Fiori ppt
SAP Fiori pptSAP Fiori ppt
SAP Fiori ppt
 
SAP Activate Overview
SAP Activate OverviewSAP Activate Overview
SAP Activate Overview
 
L1_RISE_with_SAP_NNN_V3.4.pptx
L1_RISE_with_SAP_NNN_V3.4.pptxL1_RISE_with_SAP_NNN_V3.4.pptx
L1_RISE_with_SAP_NNN_V3.4.pptx
 
S/4 HANA conversion functional value proposition
S/4 HANA conversion functional value propositionS/4 HANA conversion functional value proposition
S/4 HANA conversion functional value proposition
 
Accelerate your journey to SAP S/4HANA with SAP’s Business Technology Platform
Accelerate your journey to SAP S/4HANA with SAP’s Business Technology PlatformAccelerate your journey to SAP S/4HANA with SAP’s Business Technology Platform
Accelerate your journey to SAP S/4HANA with SAP’s Business Technology Platform
 
Moving to SAP S/4HANA
Moving to SAP S/4HANAMoving to SAP S/4HANA
Moving to SAP S/4HANA
 
SAP BW - Info object (characteristics)
SAP BW - Info object (characteristics)SAP BW - Info object (characteristics)
SAP BW - Info object (characteristics)
 
SAP S/4HANA: Everything you need to know for a successul implementation
SAP S/4HANA: Everything you need to know for a successul implementationSAP S/4HANA: Everything you need to know for a successul implementation
SAP S/4HANA: Everything you need to know for a successul implementation
 
Principles of SAP HANA Sizing - on premise and cloud-1.pdf
Principles of SAP HANA Sizing - on premise and cloud-1.pdfPrinciples of SAP HANA Sizing - on premise and cloud-1.pdf
Principles of SAP HANA Sizing - on premise and cloud-1.pdf
 
Sap bw bi
Sap bw biSap bw bi
Sap bw bi
 

Similar to Sap bw4 hana

Extend SAP S/4HANA to deliver real-time intelligent processes
Extend SAP S/4HANA to deliver real-time intelligent processesExtend SAP S/4HANA to deliver real-time intelligent processes
Extend SAP S/4HANA to deliver real-time intelligent processesSAP Technology
 
SAP HANA SQL Data Warehousing (Sefan Linders)
SAP HANA SQL Data Warehousing (Sefan Linders)SAP HANA SQL Data Warehousing (Sefan Linders)
SAP HANA SQL Data Warehousing (Sefan Linders)Twan van den Broek
 
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...SAP Analytics
 
Analytics Products L2 public 2020-23 Black.pptx
Analytics Products L2 public 2020-23 Black.pptxAnalytics Products L2 public 2020-23 Black.pptx
Analytics Products L2 public 2020-23 Black.pptxBurakAyan6
 
Custom Development - SAP HANA
Custom Development - SAP HANACustom Development - SAP HANA
Custom Development - SAP HANAMichal Korzen
 
Data Migration Tools for the MOVE to SAP S_4HANA - Comparison_ MC _ RDM _ LSM...
Data Migration Tools for the MOVE to SAP S_4HANA - Comparison_ MC _ RDM _ LSM...Data Migration Tools for the MOVE to SAP S_4HANA - Comparison_ MC _ RDM _ LSM...
Data Migration Tools for the MOVE to SAP S_4HANA - Comparison_ MC _ RDM _ LSM...SreeGe1
 
Dmm302 - Sap Hana Data Warehousing: Models for Sap Bw and SQL DW on SAP HANA
Dmm302 - Sap Hana Data Warehousing: Models for Sap Bw and SQL DW on SAP HANA Dmm302 - Sap Hana Data Warehousing: Models for Sap Bw and SQL DW on SAP HANA
Dmm302 - Sap Hana Data Warehousing: Models for Sap Bw and SQL DW on SAP HANA Luc Vanrobays
 
What's new on SAP HANA Smart Data Access
What's new on SAP HANA Smart Data AccessWhat's new on SAP HANA Smart Data Access
What's new on SAP HANA Smart Data AccessSAP Technology
 
sitNL 2015 Cloud for Analytics (Damien Fribourg)
sitNL 2015 Cloud for Analytics (Damien Fribourg)sitNL 2015 Cloud for Analytics (Damien Fribourg)
sitNL 2015 Cloud for Analytics (Damien Fribourg)Twan van den Broek
 
SQL Data Warehousing in SAP HANA (Sefan Linders)
SQL Data Warehousing in SAP HANA (Sefan Linders)SQL Data Warehousing in SAP HANA (Sefan Linders)
SQL Data Warehousing in SAP HANA (Sefan Linders)Twan van den Broek
 
SAP HANA SPS10- Multitenant Database Containers
SAP HANA SPS10- Multitenant Database ContainersSAP HANA SPS10- Multitenant Database Containers
SAP HANA SPS10- Multitenant Database ContainersSAP Technology
 
Build and run an sql data warehouse on sap hana
Build and run an sql data warehouse on sap hanaBuild and run an sql data warehouse on sap hana
Build and run an sql data warehouse on sap hanaLuc Vanrobays
 
SAP Ariba NextGen Platform
SAP Ariba  NextGen PlatformSAP Ariba  NextGen Platform
SAP Ariba NextGen PlatformThomas Benjamin
 
SAP Data Hub – What is it, and what’s new? (Sefan Linders)
SAP Data Hub – What is it, and what’s new? (Sefan Linders)SAP Data Hub – What is it, and what’s new? (Sefan Linders)
SAP Data Hub – What is it, and what’s new? (Sefan Linders)Twan van den Broek
 
ASUG84544 - Workflow Solutions from SAP When to Use What.pdf
ASUG84544 - Workflow Solutions from SAP When to Use What.pdfASUG84544 - Workflow Solutions from SAP When to Use What.pdf
ASUG84544 - Workflow Solutions from SAP When to Use What.pdfssuser8bab641
 

Similar to Sap bw4 hana (20)

Extend SAP S/4HANA to deliver real-time intelligent processes
Extend SAP S/4HANA to deliver real-time intelligent processesExtend SAP S/4HANA to deliver real-time intelligent processes
Extend SAP S/4HANA to deliver real-time intelligent processes
 
SAP HANA SQL Data Warehousing (Sefan Linders)
SAP HANA SQL Data Warehousing (Sefan Linders)SAP HANA SQL Data Warehousing (Sefan Linders)
SAP HANA SQL Data Warehousing (Sefan Linders)
 
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...
 
Analytics Products L2 public 2020-23 Black.pptx
Analytics Products L2 public 2020-23 Black.pptxAnalytics Products L2 public 2020-23 Black.pptx
Analytics Products L2 public 2020-23 Black.pptx
 
Custom Development - SAP HANA
Custom Development - SAP HANACustom Development - SAP HANA
Custom Development - SAP HANA
 
Data Migration Tools for the MOVE to SAP S_4HANA - Comparison_ MC _ RDM _ LSM...
Data Migration Tools for the MOVE to SAP S_4HANA - Comparison_ MC _ RDM _ LSM...Data Migration Tools for the MOVE to SAP S_4HANA - Comparison_ MC _ RDM _ LSM...
Data Migration Tools for the MOVE to SAP S_4HANA - Comparison_ MC _ RDM _ LSM...
 
Dev207 berlin
Dev207 berlinDev207 berlin
Dev207 berlin
 
SAP HANA Cloud Platform Expert Session - SAP HANA Cloud Platform Analytics
SAP HANA Cloud Platform Expert Session - SAP HANA Cloud Platform AnalyticsSAP HANA Cloud Platform Expert Session - SAP HANA Cloud Platform Analytics
SAP HANA Cloud Platform Expert Session - SAP HANA Cloud Platform Analytics
 
Dmm302 - Sap Hana Data Warehousing: Models for Sap Bw and SQL DW on SAP HANA
Dmm302 - Sap Hana Data Warehousing: Models for Sap Bw and SQL DW on SAP HANA Dmm302 - Sap Hana Data Warehousing: Models for Sap Bw and SQL DW on SAP HANA
Dmm302 - Sap Hana Data Warehousing: Models for Sap Bw and SQL DW on SAP HANA
 
HANA a PoV
HANA a PoVHANA a PoV
HANA a PoV
 
S4 1610 business value l1
S4 1610 business value l1S4 1610 business value l1
S4 1610 business value l1
 
What's new on SAP HANA Smart Data Access
What's new on SAP HANA Smart Data AccessWhat's new on SAP HANA Smart Data Access
What's new on SAP HANA Smart Data Access
 
sitNL 2015 Cloud for Analytics (Damien Fribourg)
sitNL 2015 Cloud for Analytics (Damien Fribourg)sitNL 2015 Cloud for Analytics (Damien Fribourg)
sitNL 2015 Cloud for Analytics (Damien Fribourg)
 
SAP Vora CodeJam
SAP Vora CodeJamSAP Vora CodeJam
SAP Vora CodeJam
 
SQL Data Warehousing in SAP HANA (Sefan Linders)
SQL Data Warehousing in SAP HANA (Sefan Linders)SQL Data Warehousing in SAP HANA (Sefan Linders)
SQL Data Warehousing in SAP HANA (Sefan Linders)
 
SAP HANA SPS10- Multitenant Database Containers
SAP HANA SPS10- Multitenant Database ContainersSAP HANA SPS10- Multitenant Database Containers
SAP HANA SPS10- Multitenant Database Containers
 
Build and run an sql data warehouse on sap hana
Build and run an sql data warehouse on sap hanaBuild and run an sql data warehouse on sap hana
Build and run an sql data warehouse on sap hana
 
SAP Ariba NextGen Platform
SAP Ariba  NextGen PlatformSAP Ariba  NextGen Platform
SAP Ariba NextGen Platform
 
SAP Data Hub – What is it, and what’s new? (Sefan Linders)
SAP Data Hub – What is it, and what’s new? (Sefan Linders)SAP Data Hub – What is it, and what’s new? (Sefan Linders)
SAP Data Hub – What is it, and what’s new? (Sefan Linders)
 
ASUG84544 - Workflow Solutions from SAP When to Use What.pdf
ASUG84544 - Workflow Solutions from SAP When to Use What.pdfASUG84544 - Workflow Solutions from SAP When to Use What.pdf
ASUG84544 - Workflow Solutions from SAP When to Use What.pdf
 

Recently uploaded

Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsappssapnasaifi408
 
How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFAAndrei Kaleshka
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts ServiceSapana Sha
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...Florian Roscheck
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfgstagge
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdfHuman37
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]📊 Markus Baersch
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Jack DiGiovanna
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptxthyngster
 
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一F sss
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls DubaiDubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls Dubaihf8803863
 
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...Suhani Kapoor
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDRafezzaman
 
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一fhwihughh
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxEmmanuel Dauda
 
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Sapana Sha
 

Recently uploaded (20)

Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
 
How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFA
 
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts Service
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdf
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]
 
Call Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort ServiceCall Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort Service
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
 
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls DubaiDubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
 
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
 
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptx
 
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
 

Sap bw4 hana

  • 1. PUBLIC Lothar Henkes VP Product Management, SAP EDW September 2018 SAP BW/4HANA – Overview and Roadmap
  • 2. 2PUBLIC© 2018 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
  • 4. 4PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ The Three Approach-Strategy for SAP HANA Data Warehousing SAP HANA Platform SAP BW/4 approach SQL approach (extendable by third-party-tools) Mixed approach Data Warehouse SAP HANA Application Services SAP HANA Integration Services SAP HANA Processing Services SAP HANA Database Services SAP Business Warehouse SAP BW/4HANA SAP HANA native SQL Data Warehouse
  • 5. 6PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BW/4HANA Architecture SDAEIM Calc Eng DBAFL SAP HANA Platform Non- SAP File SAP Sources Hadoop 3rd Party ETL SAP IQ/ HADOOP Archive Sources SAP HANA Modelling Tools SAP BW/4HANA Modelling Tools Metadata repository SAP BW/4HANAApplication Data Warehousing Analytical Manager Workspaces Open Hub ODP BPC Planning Developer Tools Business User Tools SAP Analytics 3rd Party Analytics SAP Vora ODP SAP BW/4HANA is… • a new (innovation) code line • not part of and does not depend on a NetWeaver delivery • based on the ABAP application server and SAP HANA • running on premise or in the cloud • not the legal successor of SAP BW powered by SAP HANA • the “logical successor” of SAP BW powered by SAP HANA Planning
  • 6. 7PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BW/4HANA Design Principals Easier access to all information Work with HANA in BW mode, or in native SQL mode, or both Reduced development efforts Get up and running sooner and keep running at lower cost SimplicityOpenness Modern InterfaceHigh Performance New user interface for all users Simplify access for everyone, not just database experts 10-100x faster query performance Leverage huge amounts of data in real time for competitive advantage Conversion Powerful transition tools Convert models, flows, and data from SAP BW to SAP BW/4HANA
  • 7. 8PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Simplicity: Simplifying the Models Classic SAP BW • Number of Modelling object types reduced from 10 to 4 (60% less) • No complex data structures (extended star schema) • Field or InfoObject based modelling • Greater control of data persistency and virtualization • Support for external, structured and unstructured data InfoCube6 DataStore Object7 Hybrid Provider8 PSA Table9 InfoObject10 Transient Provider5 Virtual Provider4 CompositeProvider3 InfoSet2 MultiProvider1 CompositeProvider1 Open ODS View2 DataStore Object (advanced)3 InfoObject4 VirtualizationPersistency SAP BW/4HANA
  • 8. 9PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Simplicity: Simplifying the Dataflows topdownModelling bottomupModelling Virtualization/ Virtual Data Marts Architected Data Mart Source Staging Layer/ Corporate Memory Open ODS Layer/ Raw DWH Propagation Layer/ Integrated DWH mandatory layer optional layers depending on business needs and required service level • Report at any layer of the Data Warehouse with speed and flexibility • Virtually combine data across layers • Business and service level driven • Combining bottom-up and top-down modelling approaches allows for agile and flexible development
  • 9. 10PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Scale SAP BW/4HANA using Data Tiering Optimization (DTO) • Consistent approach for hot, warm and cold data • Allocate temperature by partition • Displace data automatically between hot, warm and cold storage • Support for cold storage in SAP HANA Vora (disk engine) and Hadoop File System (HDFS) • Support for multiple extension nodes Simplicity: Simplifying the Data Aging Process SAP HANA Extension Nodes SAP IQ Hadoop Automatic Displacement of Data Hot Data Warm Data Cold Data SAP HANA in-memory Extension Node with relaxed memory requirements Allocate by aDSO or aDSO partition SAP HANA in-memory Allocate by aDSO or aDSO partition SAP IQ / Hadoop storage / SAP Vora Allocate by aDSO partition
  • 10. 11PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BW/4HANA simplifies data integration, offering comprehensive access to external systems • Number of source system types reduced from 10 to 4 • Replicate data in real-time (HANA SDI based replication or via ODP - especially with ODP-SLT) • Access data virtually • Load data using optimized processing Openness: Comprehensive Access to all Data data load SAP HANA HANA Source System Extractors ODQ direct access real-time replication SLT ABAP CDS BW Business ByDesign SAP BW/4HANA HIVE SPARK VORA Hadoop ODP Source System Big Data Source System File Source System SAP EIM SAP Data File Big Data File RDBMS /Hadoop StructuredSocial Media EmailText Non-SAP Data
  • 11. 12PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Openness: Big Data Integration with SAP Data Hub Hadoop (HDFS) SAP HANA SAPDataHub Console 3rdParty SAPPA/Spark Scala/Python SAPAnalyticsCloud STREAM COPY BATCH JOIN FILTER CLEANSE LOCK-UP SCRIPT MASK ANYMONIZE PARSE Store & Process LOAD EXTRACT FEDERATE TRANSFORM Master Data Master Data MODELLING  Combine refined big data with enterprise data and corporate master data  Extract or federate data into SAP BW/4HANA  Ingest data into S3 as landing zone for data  Orchestrate and schedule all related processes  Implement transformations and data pipelines  Harmonize data structures and look up of reference data  Execute operations on large data volumes SAP VORA Example Scenario SAPBW/4HANA OrchestrateAccess
  • 12. 13PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Openness: Big Data Integration with SAP Data Hub Integration with SAP Data Hub • Start Data Hub Task Workflows from BW/4HANA Process Chain • Specific Process Type “Data Hub Workflow”
  • 13. 15PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Developer User Interface – Introducing the new Dataflow Modeller Modern Interface: Faster to Learn, Easier to Use
  • 14. 16PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Modern UI: SAP BW/4HANA Modeling Tools in Eclipse Unified UI for all BW/4HANA Modeling (requires BW Modeling Tools Version 1.19) New Data Transfer Process Editor • Integrated with Data Flow Modeler • Full DTP functionality New Transformation Editor • Integration with Data Flow Modeler • All transformation capabilities
  • 15. 17PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Modern UI: SAP BW/4HANA Web Administration Tools SAP BW/4HANA Cockpit – single entry point for administration and monitoring • Access to Process Chain Modeler and monitors for Process Chain status and statistics • Management of data loads for ADSOs and InfoObjects • Fiori launchpad – easy to configure and personalize • Access from any device
  • 16. 18PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Modern UI: SAP BW/4HANA Web Administration Tools Process Chain Modeler and Monitor • State-of-the-art modeling UI • Intuitive, comprehensive monitoring tool for detailed error analysis and recovery
  • 17. 19PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Business User Interface – Integration with SAP Analytics (on-premise and cloud) Modern Interface: Faster to Learn, Easier to Use
  • 18. 20PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ High Performance: Analytical Engine* Automated Query Execution Mode Optimizer including machine learning Query Cell based Documents for adding comments** Enhanced performance • by optimized query parallelization • for Analysis for Office** Query Catalog Search Advanced reporting features for Analysis for Office*** * A blog for detailed information is available ** available with Analysis Office 2.7 - planned for the end of May 2018 *** SAP Analysis for Microsoft Office Roadmap
  • 19. Product Roadmap SimplicityOpenness Modern InterfaceHigh Performance
  • 20. 24PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ One Code-line, Three Ways to Innovate Project Blueberry (public cloud) SAP BW/4HANA 2.0 (on-premise, private cloud) Continuous Innovation (single code-line) Initial Focus:  Highly Standardized  Fiori Admin UIs  End-to-End with SAP Analytics Cloud  Small to Medium Sized Systems Focus:  Integration with SAP Data Hub  SQL + ML  Large Systems SAP BW/4HANA 1.0 Joint Focus:  Cloud connectivity  Data modeling enhancements  Data Privacy Workbench  … 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.
  • 21. 26PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BW/4HANA Roadmap – Planned Innovations Planned for 2019 – SAP BW/4HANA 2.0 and Project Blueberry 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. Simplicity Modern Interface Openness High Performance Project Blueberry  SaaS data warehousing offering tightly integrated with SAP Analytics Cloud DataStore Object write interface for SAP Data Services Data Tiering Optimization (DTO)  Updates to cold data (external storage)  Inventory ADSOs Integration with SAP Data Hub  BW/4 Metadata integration enabling lineage/impact analysis  DataStore Object write interface for SAP Data Hub Integration with SAP Cloud Platform  Availability of SAP BW/4HANA APIs SQL data access for extraction/lookup from DataStore Objects Integration with SAP Cloud Solutions via SAP Cloud Platform Integration (CPI) SAP BW/4HANA Modeling Tools  Mass-modeling for objects in Data Flow and Semantic Groups  Planning tools (planning functions)  Data Flow Documentation Generation (HTML) Web-based Administration & Monitoring e.g. DTO temperature maintenance cockpit Further Push-down of OLAP Capabilities  Conditions (having, ranking, …)  Dedicated performance optimization for SAC
  • 22. 27PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BW/4HANA Roadmap – Product Direction 2020 and Beyond 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. Simplicity Modern Interface Openness High Performance Project Blueberry  Deep integration with SAP Analytics Cloud  SAP Data Hub and Big Data integration  Industry content Data Tiering Optimization (DTO)  Support for several external storage destinations  Further cold storage options based on SAP Vora and Hadoop  DTO automation – rules and statistics based System Health Monitoring and Prediction Machine-learning Based DW Administration Integration with SAP Data Hub  Tight repository interoperability (common transports & improved impact analysis)  Seamless data exchange Open Hub Modernization Further Push-down of OLAP Capabilities  Current member Leveraging new SAP HANA engine capabilities for Analytics and Transformations Leveraging new HANA elasticity and scalability enhancements
  • 23. 28PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BW/4HANA Roadmap – Product Vision 2021 and Beyond 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. Simplicity Modern Interface Openness High Performance Project Blueberry  Integration with SAP HANA native approaches Data Tiering Optimization (DTO)  Machine learning based automation Continued System Health Monitoring and Prediction Continued Machine-learning Based DW Administration Further integration with SAP Data Hub providing Big Data Warehouse architectures Leveraging new SAP HANA engine capabilities for Analytics and Transformations
  • 25. 32PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ A holistic system analysis is the foundation for further planning steps towards a successful and smooth system transition to SAP BW/4HANA. The SAP Readiness Check for SAP BW/4HANA is a self-service and summarizes the most important aspects of the conversion in an easy consumable way. SAP Readiness Check for SAP BW/4HANA SAP Readiness Check for SAP BW/4HANA Self-Service services@SAP https://help.sap.com/viewer/p/SAP_READINESS_CHECK https://launchpad.support.sap.com/#/readiness
  • 26. 33PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ More Information about SAP BW4/HANA SAP BW/4HANA Landing Page http://sap.com/bw4hana SAP BW/4HANA Community / Product Page http://sap.com/bw4hana10 SAP BW/4HANA Documentation http://help.sap.com/bw4hana10 SAP BW/4HANA FAQ SAP BW/4HANA Roadmap Analytics Solutions from SAP for SAP BW/4HANA Customers Roadmap SAP BW/4HANA Blogs / Community Blogs SAP BW/4HANA Events SAP BW/4HANA Webinars SAP BW/4HANA on Twitter SAP BW/4HANA Videos / YouTube Channel SAP BW/4HANA HANA Academy Videos SAP Training and Certification for SAP BW/4HANA Road Map for Transition to SAP BW/4HANA SAP Best Practices for In-place System Conversion to SAP BW/4HANA
  • 27. Thank you. Contact information: Lothar Henkes VP Product Management, SAP EDW SAP SE Lothar.henkes@sap.com
  • 28. 35PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BW/4HANA: The Solution for Modern Data Warehousing A simpler, faster, and more agile data warehouse DATABASE MANAGEMENT Web Server JavaScript Graphic Modeler Data Virtualization ELT & Replication Columnar OLTP+OLAP Multi-Core & Parallelization Advanced Compression Multi-tenancy Multi-Tier Storage Graph Predictive Search Data Quality Series Data Business Functions Hadoop & Spark Integration Streaming Analytics Application Lifecycle Management High Availability & Disaster Recovery OpennessData Modeling Admin & Security Remote Data Sync Spatial Text Analytics Fiori UX APPLICATION DEVELOPMENT DATA INTEGRATION & QUALITYADVANCED ANALYTICAL PROCESSING* SAP HANA + SAP BW/4HANA DATA WAREHOUSING Analytic Services Open Interfaces Business Planning & Consolidation Services * Data Modeling Objects & Services Modeling ToolsData Warehousing Services Data Acquisition Services * Additional license might be required
  • 29. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP SE or an SAP affiliate company. The information contained herein may be changed without prior notice. Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliated companies’ strategy and possible future developments, products, and platforms, directions, and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. 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, and they should not be relied upon in making purchasing decisions. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. All other product and service names mentioned are the trademarks of their respective companies. See http://global.sap.com/corporate-en/legal/copyright/index.epx for additional trademark information and notices. © 2018 SAP SE or an SAP affiliate company. All rights reserved.