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Road Map Revision: 2012.08.02 SAP Product Road Map SAP NetWeaver Business Warehouse powered by SAP HANA Template Revision 20120421 v3.0

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Road Map Revision: 2012.08.02

SAP Product Road Map SAP NetWeaver Business Warehouse

powered by SAP HANA

Template Revision 20120421 v3.0

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© 2012 SAP AG. All rights reserved. 3 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

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

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 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 non-infringement. 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.

Legal disclaimer

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© 2012 SAP AG. All rights reserved. 4 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

Purpose

Product road maps are designed to support the product adoption planning activities of SAP

customers. A product road map helps a customer match short term and long term goals with

technology plans.

A product road map describes how the feature / function capabilities in an SAP product or

technology are planned to progress over time, in general:

Today = changes in the current release version

Planned Innovations = changes planned in upcoming development releases (next 12-18 months)

Future Direction = proposed themes for a product or technology beyond the planned releases

The product road maps are targeted for use by IT planners, enterprise architects, SAP

Consulting, and SAP consulting partners.

Complementary resources

For a more general description of the business problems / processes being solved and

supported by SAP, refer to Solution Road maps.

For more detailed technical information please refer to the Product Availability Matrix, Ramp-

up Knowledge Transfer materials and product documentation.

Introduction to product road maps

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© 2012 SAP AG. All rights reserved. 5 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

Table of contents

Product Overview

Product description

Customer needs and the value propositions

Road map overview

Product Road Map

Today

Planned

Future

Appendix

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Product Overview

Product description

Customer needs and the value propositions

Road map overview

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© 2012 SAP AG. All rights reserved. 7 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 NetWeaver BW powered by SAP HANA Product description (1 of 2)

EDW with SAP Enterprise Data Warehousing – the single point of truth

Enterprise Data Warehousing – why

Consolidate the data across the enterprise to get a consistent and

agreed view on your data "Having data is a waste of time when

you can't agree on an interpretation."

Combine SAP and other sources together

Standardized data models on corporate information

Supporting decision making on all organizational levels

EDWs require a Database plus an EDW application

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© 2012 SAP AG. All rights reserved. 8 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 NetWeaver BW powered by SAP HANA Product description (2 of 2)

EDW with SAP Enterprise Data Warehousing – the single point of truth

SAP NetWeaver BW - a flexible and scalable EDW

application

Highly integrated tools for modeling, monitoring and

managing the EDW

Open for SAP and non-SAP systems

Agile data modeling using BW workspaces

Runs on top of SAP HANA and other RDBMS

Easy consumption of SAP HANA Data Mart scenarios via

virtualized data access

EDW with custom built application

High development and maintenance efforts

Variety of tools with lacking integration

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© 2012 SAP AG. All rights reserved. 9 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 NetWeaver BW powered by SAP HANA Customer needs and the value propositions of the product

Speed and Accelerated performance

Excellent query performance for improved decision making

Performance boost for Data Load processes for decreased data latency

Accelerated In-Memory planning capabilities for faster planning scenarios

New business insights

Self-Service BI – Data modeling with BW Workspaces

Flexible combine EDW with SAP HANA-native data for better insights and

decision making

Streamline landscape and simplify data management

Non-disruptive DB migration with SAP standard tools and services

Data persistency layers are cut out and admin efforts reduced: No

aggregates, indexes, rollups, statistics

Simplified data modeling and remodeling

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© 2012 SAP AG. All rights reserved. 10 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

Planned Innovations Future Direction Today

SAP HANA specific features

Performance boost for data

loading, query response time

and planning

SAP HANA optimized InfoCubes

and Data Store Objects (DSO)

Simplified and faster data

modeling/remodeling

In-memory planning

Support of native SAP HANA

models

Simplified system landscape

Platform independent

highlights*

Graphical data flow modeling

Semantic Partitioned Objects

(SPO)

Rapid prototyping of Ad Hoc

Scenarios via BW Workspaces

Tighter integration with

SAP Data Services

Additional flexibility

BW/Non-BW mixed EDW

environments

Open Operational Data Store

layer

Big Data/Hadoop connector

Lower TCO with simplified data

modeling Uniform modeling concepts with

eclipse based UIs

Highly reduced number of

InfoProvider types for easier data

modeling

Enhanced performance and

scalability Further reduce data provisioning

times

SAP HANA optimized

transformations

Data aging strategies

Conversion tools

SAP NetWeaver BW powered by SAP HANA Product road map overview - key themes and capabilities

SAP HANA specific features

SAP NetWeaver BW and

SAP HANA - mixed

scenarios

“Not active” data concept

Support of Semantic

Partitioned Objects (SPO)

Enhanced partitioning for

write-optimized DSOs

Platform independent

highlights*

Enhanced support of 3.x

7.x dataflow migration

File download of BW

metadata

DSO Planning

*SAP will continue to support RDBMS platform This is the current state of planning and may be changed by SAP at any time.

(Release 7.30 on SAP HANA)

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Product Road Map

Today

Planned

Future

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© 2012 SAP AG. All rights reserved. 12 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

TODAY Planned Innovations Future Direction

SAP NetWeaver BW powered by SAP HANA Product road map overview - key themes and capabilities

This is the current state of planning and may be changed by SAP at any time.

(Release 7.30 on SAP HANA)

*SAP will continue to support RDBMS platform

SAP HANA specific features

Performance boost for data

loading, query response time

and planning

SAP HANA optimized InfoCubes

and Data Store Objects (DSO)

Simplified and faster data

modeling/remodeling

In-memory planning

Support of native SAP HANA

models

Simplified system landscape

Platform independent

highlights*

Graphical data flow modeling

Semantic Partitioned Objects

(SPO)

Rapid prototyping of Ad Hoc

Scenarios via BW Workspaces

Tighter integration with

SAP Data Services

Additional flexibility

BW/Non-BW mixed EDW

environments

Open Operational Data Store

layer

Big Data/Hadoop connector

Lower TCO with simplified data

modeling Uniform modeling concepts with

eclipse based UIs

Highly reduced number of

InfoProvider types for easier data

modeling

Enhanced performance and

scalability Further reduce data provisioning

times

SAP HANA optimized

transformations

Data aging strategies

Conversion tools

SAP HANA specific features

SAP NetWeaver BW and

SAP HANA - mixed

scenarios

“Not active” data concept

Support of Semantic

Partitioned Objects (SPO)

Enhanced partitioning for

write-optimized DSOs

Platform independent

highlights*

Enhanced support of 3.x

7.x dataflow migration

File download of BW

metadata

DSO Planning

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© 2012 SAP AG. All rights reserved. 13 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 NetWeaver BW 7.3 powered by SAP HANA How does BW 7.3 running on SAP HANA differ from BW running on xDB?

TODAY

Migration without reimplementation - no disruption of existing scenarios

SAP NetWeaver BW 7.x on xDB

Standard DataStore Objects

Data Base server and SAP NetWeaver

BWA

Standard InfoCubes

BW Integrated Planning

SAP HANA Data Marts running side-by-side

SAP NetWeaver BW

SAP NetWeaver BW 7.3 on SAP HANA

SAP HANA optimized DataStore Objects

SAP HANA In-Memory platform

SAP HANA optimized InfoCubes

In-Memory planning engine

Consumption of SAP HANA artifacts created via SAP

HANA studio

SAP NetWeaver BW staging from SAP HANA

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© 2012 SAP AG. All rights reserved. 14 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 NetWeaver BW 7.3 powered by SAP HANA Overview and challenge

TODAY

DataStore Objects are fundamental building

blocks for a Data Warehouse architecture

They are used to create consistent delta

information from various sources

Reporting can be done on a detailed level

In today's RDBMS-based implementation, the

activation and querying operations are extremely

performance-critical

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© 2012 SAP AG. All rights reserved. 15 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

Current architecture

Activation algorithm calculates the changes

of each record and creates heavy load on the DBMS

Delta calculation performed on the application

server, too complex to push it down to the

DBMS as SQL / Stored Procedure

Roundtrips to application server needed for

delta calculation

SAP NetWeaver BW 7.3 powered by SAP HANA Creation of consistent delta information

TODAY

Activation Queue

Sorted Full Table Scan

Data

Packages

Lookup Calculate

Delta Update

Active Data Table Change Log

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© 2012 SAP AG. All rights reserved. 16 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 NetWeaver BW 7.3 powered by SAP HANA SAP HANA optimized DataStore Objects - Accelerated data loads

TODAY

SAP HANA optimized DSOs

Delta calculation completely integrated in SAP

HANA

Using in-memory optimized data structures for

faster access

No round trips to application server needed

Process of SID generation highly optimized for

SAP HANA Optimized DSOs low impact on

staging performance

Speeding up data staging to DSOs by

factor 5-10

Avoids storage of redundant data

After the upgrade to SAP NetWeaver BW on

SAP HANA all DSOs remain unchanged

Tool support for converting standard DSOs into

SAP HANA optimized DSOs

No changes of Dataflows required

Database

Layer

Database

Layer

User interface

Layer

User interface

Layer

Application

Layer

Application

Layer DSO Objects

Presentation

Activation

Data

Presentation

DSO Objects

Activation

Data

SAP NW BW

SAP NW BW SAP NW BW

SAP NW BW

SAP HANA xDB

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© 2012 SAP AG. All rights reserved. 17 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

TODAY

20 300

4500

3 41

473

0

500

1000

1500

2000

2500

3000

3500

4000

4500

Delta: 0.1 M, Active: 1 M Delta: 1 M, Active: 10 M Delta: 10 M, Active: 100 M

Activation Runtime - Lab Results

BW 7.30 - RDMBS based In-Memory optimized RDBMS

Runtim

e in s

econds

Using in-memory

computing technology

Speeds up the most time

consuming staging

operations, request

activation, by a factor of 5-

10 times

Prevents the storage of

redundant data

Lab results showing the increased performance of SAP NetWeaver BW on HANA compared to RDBMS

SAP NetWeaver BW 7.3 powered by SAP HANA SAP HANA optimized DataStore Objects

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© 2012 SAP AG. All rights reserved. 18 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 NetWeaver BW 7.3 powered by SAP HANA SAP HANA optimized InfoCubes – faster data loads, easier modeling

TODAY

Faster data loads, easier modeling

Traditional InfoCubes tailored to a relational DB consist of two Fact

Tables (F and E) and the according Dimension tables

SAP HANA optimized InfoCubes represent “flat” structures without

Dimension tables and E tables:

Up to 5 times faster data loads (Lab Results)

Creation of DIM IDs no longer required

Simplified Data modeling

Faster remodeling of structural changes

After the upgrade to BW7.3, SP5 all InfoCubes remain unchanged

Tool support for converting standard InfoCubes

Preliminary lab result: 250 Million records in 4 minutes

No changes of processes, MultiProvider, Queries required

Facts

D

D

MD MD

MD MD

F E

Facts

MD MD

MD MD

Traditional

SAP HANA

optimized

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© 2012 SAP AG. All rights reserved. 19 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

TODAY

Query acceleration on BW InfoCubes Leverage column store and In-Memory Calculation

Engine for query acceleration

No replication – fast query access directly on primary

data persistence

Indexes on InfoCubes and InfoObjects are no longer

required No rollups

Query acceleration on BW DataStore Objects (DSO)

Leverage column store and In-Memory Calculation

Engine for query acceleration

SID generation during DSO activation to be enabled

Result: Same kind of excellent query performance on DSOs

Process of SID generation highly optimized for SAP HANA

Optimized DSOs low impact on staging performance

No changes of processes, MultiProvider, queries required

SAP NetWeaver BW 7.3 powered by SAP HANA Similar or better query performance compared to SAP NetWeaver BWA

SAP NW BW

Query on

InfoCube, DSO(with

SIDs), MultiProvider,

Masterdata

AnalyticIndex,

CompositeProvider

Query on

DSO, BW InfoSet

SAP HANA

SQL Engine Calc Engine

Aggregation Engine on In-Memory data

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© 2012 SAP AG. All rights reserved. 20 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

TODAY

Info Cubes required for

Non-disruptive approach

when migrating to Sap NetWeaver BW on

SAP HANA

Non-cumulative Key Figures

Complex business logic (report specific)

BW Integrated Planning

Conclusion

There are scenarios where the InfoCube

layer becomes obsolete

Less materialized data and simplification

Decision to be made scenario by scenario:

Business and Performance needs

Query

DataStore Object

InfoCube

BW 7.x on

RDBMS

Aggregates

or BWA index

InfoCube

SAP NetWeaver

BW on SAP

HANA

SAP NetWeaver

BW on SAP

HANA

InfoCube can be removed when used for query performance only

Conversion Conversion

DTP

DataStore Object DataStore Object

(w SID generation)

DTP

Rollup

SAP NetWeaver BW 7.3 powered by SAP HANA Query performance - are InfoCubes still required?

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© 2012 SAP AG. All rights reserved. 21 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 NetWeaver BW 7.3 powered by SAP HANA Interoperability - flexible integration

TODAY

SAP HANA Data Marts and SAP HANA in-memory platform for SAP NetWeaver BW can run in one DB

instance

TransientProvider based on SAP HANA model

For ad hoc scenarios and prototyping

Generated not modeled, no InfoObjects required

Full BEx Query support

Can be included to CompositeProvider to combine with further

BW InfoProvider

VirtualProvider based on SAP HANA model

For a flexible integration of SAP HANA data with metadata

persistence in SAP NetWeaver BW

Analysis Authorization handled by SAP NetWeaver BW

Full BEx Query support

Can be included to Composite- and MultiProvider to combine

with further BW InfoProvider

HANA DB

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© 2012 SAP AG. All rights reserved. 22 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 NetWeaver BW 7.3 powered by SAP HANA In-memory planning - accelerated planning functions

TODAY

Database

Layer

Database

Layer

User interface

Layer

User interface

Layer

Application

Layer

Application

Layer Orchestration

Presentation

Calculation

Data

Presentation

Orchestration

Calculation

Data

SAP NW BW

SAP NW BW SAP NW BW

SAP NW BW

SAP HANA xDB

Traditional Planning runs planning

functions in the Application Layer

In-memory Planning runs all planning

functions in the SAP HANA platform

Performance boost for planning capabilities like:

- Aggregation, disaggregation

- Conversions, revaluation

- Copy, delete, set value, repost, FOX

Performance boost for plan/actual analysis

No changes of planning models,

planning processes, MultiProvider,

Queries required

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© 2012 SAP AG. All rights reserved. 23 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 NetWeaver BW 7.3 powered by SAP HANA BW in-memory planning - simple disaggregation example

TODAY

Traditional Approach

Determine the delta +50

Disaggregate (in appl. server)

per week (52)

per branch (500)

26000 combinations / values

Send 26000 values to DB to save

User changes

a plan value

HANA-Based Approach

Determine the delta +50

Send 1 value to DB

+ instruction to disaggregate and how

Disaggregate (in DB engine)

per week (52)

per branch (500)

change + save 26000 values

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© 2012 SAP AG. All rights reserved. 24 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

PLANNED INNOVATIONS Future Direction Today

SAP NetWeaver BW powered by SAP HANA Product road map overview - key themes and capabilities

This is the current state of planning and may be changed by SAP at any time. *SAP will continue to support RDBMS platform

SAP HANA specific features

Performance boost for data

loading, query response time

and planning

SAP HANA optimized InfoCubes

and Data Store Objects (DSO)

Simplified and faster data

modeling/remodeling

In-memory planning

Support of native SAP HANA

models

Simplified system landscape

Platform independent

highlights*

Graphical data flow modeling

Semantic Partitioned Objects

(SPO)

Rapid prototyping of Ad Hoc

Scenarios via BW Workspaces

Tighter integration with

SAP Data Services

Additional flexibility

BW/Non-BW mixed EDW

environments

Open Operational Data Store

layer

Big Data/Hadoop connector

Lower TCO with simplified data

modeling Uniform modeling concepts with

eclipse based UIs

Highly reduced number of

InfoProvider types for easier data

modeling

Enhanced performance and

scalability Further reduce data provisioning

times

SAP HANA optimized

transformations

Data aging strategies

Conversion tools

SAP HANA specific features

SAP NetWeaver BW and

SAP HANA - mixed

scenarios

“Not active” data concept

Support of Semantic

Partitioned Objects (SPO)

Enhanced partitioning for

write-optimized DSOs

Platform independent

highlights*

Enhanced support of 3.x

7.x dataflow migration

File download of BW

metadata

DSO Planning

(Release 7.30 on SAP HANA)

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© 2012 SAP AG. All rights reserved. 25 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 NetWeaver BW powered by SAP HANA Planned innovations

PLANNED INNOVATIONS

SAP NetWeaver BW and SAP HANA mixed scenarios

Additional flexibility for BW/SAP HANA

Mixed scenarios include:

Support of Open Hub to enable data loading from SAP NetWeaver BW to SAP HANA

Consumption of Analytical Views generated in SAP NetWeaver BW via SAP HANA interfaces

Consumption of SAP NetWeaver BW data by BO Explorer via SAP HANA interfaces

Data load optimizations from SAP HANA to SAP NetWeaver BW

Further SAP HANA optimizations

Support of existing SPOs to be converted to SAP HANA optimized - DSOs and InfoCubes

Partitioning of write-optimized DSOs enabling better performance for regular merges of delta indeces into main-indeces

Resource management optimizations for PSA and write-optimized DSOs supports that “Cold Data” like PSA tables and

write-optimized DSOs are not kept In-memory

Enhanced support of BW3.x BW7.x Dataflow migration

Supports the simulation of behavior of a dataflow after migration

File download of BW metadata: description and documentation as a basis to create project documentation

Planning on DSOs to enable planning on KeyFigures where the aggregate is not a sum (e.g. prices).

This is the current state of planning and may be changed by SAP at any time.

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© 2012 SAP AG. All rights reserved. 26 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

FUTURE DIRECTION Planned Innovations Today

SAP NetWeaver BW powered by SAP HANA Product road map overview - key themes and capabilities

This is the current state of planning and may be changed by SAP at any time. *SAP will continue to support RDBMS platform

SAP HANA specific features

Performance boost for data

loading, query response time

and planning

SAP HANA optimized InfoCubes

and Data Store Objects (DSO)

Simplified and faster data

modeling/remodeling

In-memory planning

Support of native SAP HANA

models

Simplified system landscape

Platform independent

highlights*

Graphical data flow modeling

Semantic Partitioned Objects

(SPO)

Rapid prototyping of Ad Hoc

Scenarios via BW Workspaces

Tighter integration with

SAP Data Services

Additional flexibility

BW/Non-BW mixed EDW

environments

Open Operational Data Store

layer

Big Data/Hadoop connector

Lower TCO with simplified data

modeling Uniform modeling concepts with

eclipse based UIs

Highly reduced number of

InfoProvider types for easier data

modeling

Enhanced performance and

scalability Further reduce data provisioning

times

SAP HANA optimized

transformations

Data aging strategies

Conversion tools

SAP HANA specific features

SAP NetWeaver BW and

SAP HANA - mixed

scenarios

“Not active” data concept

Support of Semantic

Partitioned Objects (SPO)

Enhanced partitioning for

write-optimized DSOs

Platform independent

highlights*

Enhanced support of 3.x

7.x dataflow migration

File download of BW

metadata

DSO Planning

(Release 7.30 on SAP HANA)

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© 2012 SAP AG. All rights reserved. 27 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 NetWeaver BW powered by SAP HANA Future direction

FUTURE DIRECTION

This is the current state of planning and may be changed by SAP at any time.

SAP NetWeaver BW and SAP HANA mixed scenarios

Flexibility will be further enhanced

Open ODS layer

Support of an open ODS layer for ad-hoc scenarios and mechanisms to support gradual transformations from an

unmanaged (arbitrary) scenario to a managed scenario

Support consumption of Hadoop output in queries running on top of SAP NetWeaver BW powered by SAP HANA

Uniform modeling concepts

Existing UIs in SAP NetWeaver BW will be unified based on Eclipse.

Harmonization of SAP NetWeaver BW and SAP HANA modeling environments into one experience.

Simplify types of InfoProviders

Reduced number of InfoProviders by providing only one type of physical store.

Logical profiles (InfoCube, DSO etc.) can be attached

Transformations

Can be pushed down to the SAP HANA In-Memory DB for further data load

Further reduce data provisioning time

By reduction of existing layers like PSA and Leverage existing data aging strategies from SAP HANA also in SAP

NetWeaver BW

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© 2012 SAP AG. All rights reserved. 28 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

Summary

Business Benefits IT Benefits

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Thank you

Road map contacts for customers and partners

Lothar Henkes [email protected] Senior Director

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© 2012 SAP AG. All rights reserved. 30 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

Key links for more information For customers and partners

Key links

Road maps on SAP Service

Marketplace

http://service.sap.com/roadmap

SAP Community Network (SCN) http://www.sdn.sap.com/

SCN for SAP NetWeaver Business

Warehouse

http://scn.sap.com/community/data-

warehousing/netweaver-bw

Where to go to provide product feedback and ideas

SAP Idea Place https://ideas.sap.com

Influence programs http://service.sap.com/influence

SAP User Groups

http://www.sapusergroups.com/

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© 2012 SAP AG. All rights reserved. 32 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

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