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March 2020

SAP Data Warehouse Cloud Road Map

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The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. 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 document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP’s strategy and possible future developments, products, and 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 document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. 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 noninfringement. This document is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP’s willful misconduct 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.

For all recent and planned innovations, potential data protection and privacy features include simplified deletion of personal data, reporting of personal data to an identified data subject, restricted access to personal data, masking of personal data, read access logging to special categories of personal data, change logging of personal data, and consent management mechanisms.

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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 noninfringement.Public

Companies today are planning their digital journeys – transforming business models, reengineering business processes, and reimagining work.

SAP road maps highlight innovations that may help you plan and implement your digital journey. They span products relevant to lines of business in your industry and explain how our innovations may add value to your business.

In our road maps, you can learn about our innovations along four different timelines:

1. Recent innovations for our products that have been launched in the past weeks or months and can already be purchased

2. Planned innovations for our products that are intended to be launched in the short term or midterm

3. Product direction, providing a long-term perspective on high-level development plans for innovations for our solutions – inspired by your requirements

4. Product vision, providing a high-level and long-term business perspective on innovations for our products

About SAP road maps

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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 noninfringement.Public

Topic overview§ Topic description§ Key trends and customer needs§ Road map overview and major product updates

Topic road map§ Recent innovations§ Planned innovations§ Product direction§ Product vision

Table of contents

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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 noninfringement.Public

Bring people and information together§ Empower business users and IT

teams to deliver faster results with in-memory technology

§ Integrated connectors to allow a quick connect to data in your organization

§ Unite your heterogeneous data

Semantics & Content§ Business layer enriches your data

with semantics for easier understanding

§ Partner & SAP Content

SAP Data Warehouse Cloud Product description

SAP Data Warehouse Cloud is a Software as a service offering to build a data warehouse in the cloud that unites all your data sources in one solution, maintaining the security, trust, and semantic richness of your information.It is an end to end data management and decision-making solution in SAP’s enterprise data warehouse strategy which combines the powerful data management capabilities of SAP HANA with the broad advanced analytics capabilities of SAP Analytics Cloud.

Hybrid SAP Data Warehouse Cloud scenarios§ Connect to on-premise solutions

to extend into the Cloud § Leverage existing semantics &

investments

Flexibility & Openness§ Open SQL access § Spaces allow a separation and

cost control§ Quick start without high upfront

costs

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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 noninfringement.Public

Key capabilities

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§ Simplicity: Analytical and persona-driven data warehouse as a servicetailored for business and IT

§ Connectivity: Instant access to application data via pre-built adapters tointegrate data from various sources

§ Hybrid SAP Data Warehouse Cloud scenarios: Providing deep integration between SAP BW/4HANA and SAP Data Warehouse Cloud

§ Openness: Allowing integration and leveraging of existing assets and new technologies

§ Business Layer: Semantic business layer to translate data language tonatural language phrases

§ Spaces: Scalable, elastic, open and flexible, making it suitable for anycompany of any size

SAP Data Warehouse CloudProduct description

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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 noninfringement.Public

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

SAP Data Warehouse CloudProduct road map overview – Key innovations

§ Modeling– Graphical and SQL view modeling capabilities– Data replication support for agile scenarios– Entity relationship modeling– Data lineage capabilities

§ Semantic enrichment of data– Modeling analytical datasets, dimensions– Central business entity catalog– Parent child hierarchy modeling

§ Space concept– Isolated and self-organized modeling

environments– Space full

§ Data connectivity– Integrate data from SAP HANA, ABAP, and

OData-based data sources (SAP, non-SAP)§ Openness

– Open DB access for 3rd party ETL tooling– SQL Consumption of DWC data and option to

expose views

§ SAP Analytics Cloud integration– Enable Story Builder on top of Data Warehouse

Cloud models– Enable One Tenant deployment

§ Connectivity to SAP and non-SAP sources– Additional connectivity options (Microsoft SQL

Server, Oracle) – Introduce real-time replication capabilities– Enable connectivity to Partner solutions – Improve file upload experience to support upload

of larger files and get an improved data type recognition

§ Space Management– Sharing objects between spaces– Enable consumption of DWC internal artefacts

§ Data transformation and harmonization capabilities – Ability to materialize views / Switch to persistence

§ Enterprise operations– Administration and monitoring of file uploads– Export/import of models to ACN– Central logs for analysis (performance, monitoring)

§ Openness– Open access for 3rd party BI tools to SAP Data

Warehouse Cloud models– Integrate SAP HANA Database Explorer

§ SAP Analytics Cloud integration– see separate detailed SAP Analytics Cloud / SAP

Data Warehouse Cloud road map

§ Business model builder– Stronger separate business and data layer by introducing a

dedicated business model builder

§ SAP Analytics Cloud integration– see separate detailed SAP Analytics Cloud / SAP Data

Warehouse Cloud road map

§ Industry models and Line of Business specific business content packages– Initial SAP Data Warehouse Cloud templates / Initial SAP partner

content

§ Data transformation and harmonization capabilities – Integrate Data Integration Service to build dataflows– Additional Connectivity to SAP and non-SAP sources: Cloud Data

Integration, S3, ADL– Add SQL Script transformation capabilities– Persitencies & Scheduling

§ Support additional HANA Cloud features– Integrate DWC in HANA Database Cockpit– Support HANA SQL Data Warehouse methodology– Enable HANA Data Lake capabilities

§ Data Governance– Introduce row-level security

§ Data Warehouse Automation (CI / CD) – APIs for DWC artefacts / Space API

§ Additional data center availability§ Support for hybrid scenarios between SAP Data Warehouse

Cloud and SAP BW/4HANA – Provide SAP BW/4HANA semantic models to SAP Data

Warehouse Cloud– Enable staging scenarios for SAP BW/4HANA data and virtual

models– Reuse BW query metadata in SAP Data Warehouse Cloud

business entities– Persisted query snapshots in SAP Data Warehouse Cloud

§ Data Warehouse Automation (CI / CD)– Additional APIs for DWC artefacts

§ Business Application Studio / Visual Studio Code plugin for DWC artefacts

§ Data lifecycle management options to intelligent tier data to balance cost and performance

§ Measure and KPI modeling§ Automation based on machine learning

capabilities§ Insight to action – leverage Data

Warehouse Cloud as foundation for yourIntelligent Enterprise processes

§ Intelligent geolocalization of data§ Automatic model derivation through source

metadata crawling§ Add further capabilities to SAP Analytics Cloud /

SAP Data Warehouse Cloud integration (see separate detailed SAP Analytics Cloud / SAP Data Warehouse Cloud road map)

Recent innovations Planned – HY1/20201 Planned – HY2/20201 Product vision1

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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 noninfringement.Public

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

SAP Analytics Cloud and SAP Data Warehouse Cloud Product road map overview – Key innovations

§ Customers can work with SAP Analytics Cloud solution with SAP Data Warehouse Cloud (either with the integrated story builder or the full system accessible through the “app switcher” but functional limitations apply when working on SAP Data Warehouse Cloud data.

§ For information on limitations, see note 2832606

§ Continued Improvements of existing integration features, for example in areas such as UX integration, analytics designer, geo, dimension grouping...

§ Geo enablement (semantic enrichment for longitude and latitude & polygones)

§ Version mapping (for example for variance charts)

§ Integration with SAP Analytics Cloud, add-in for Microsoft Office

§ SAP Analytics Cloud mobile app § Digital boardroom§ Data Analyzer Integration§ Smart Grouping

§ Continued improvement of existingintegration features

§ Additional Blending capabilities§ Search to insight integration§ Smart insights integration§ Smart discovery integration§ Smart predict integration§ Shared connection management§ Integration of SAP Analytics Cloud for

planning

Recent innovations Planned – HY1/20201 Planned – HY2/20201 Product vision1

§ Customers can run SAP Analytics Cloud and SAP Data Warehouse Cloud in the same tenant and seamlessly switch back and forth between both applications if both applications run in the same data center. SAP Data Warehouse Cloud will be deployed in the same data centers as SAP Analytics Cloud.

§ Cross-tenant access to SAP Data Warehouse Cloud: Any SAP Analytics Cloud (Cloud Foundry) solution can be connected to any SAP Data Warehouse Cloud solution

§ Parent-child hierarchy support (level-based already supported)

§ SAP Analytics Cloud, analytics designer§ Creating a time dimension (for example to allow

time series forecasting)§ Blending (SAP Data Warehouse Cloud with SAP

Data Warehouse Cloud in One Tenant mode)

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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 noninfringement.

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