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Product Management SAP NetWeaver BW November, 2012

SAP NetWeaver BW 7.3, SP8

© 2012 SAP AG. All rights reserved. 1 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, SP 8 - Positioning

SAP NetWeaver BW Support Package 8 mainly

serves the aspect to include enhancements based on

customer feedback during RU BW 7.3 on HANA.

In this context additional integration scenarios

between BW on HANA and HANA Data Mart

scenarios for further flexibility will be provided as well

as the “Not-active” data concept for optimized RAM

sizing and lower TCO.


Agenda

SAP HANA-specific highlights*

SAP BW and SAP HANA Mixed Scenarios

“Non active” data concept

Conversion 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 meta data

DSO Planning

Outlook

*please ensure to install the latest HANA revision


Agenda







Enhanced Support of 3.x 7.x Dataflow Migration


DSO Planning

Outlook



SAP NetWeaver BW – SAP HANA Mixed Scenarios: Combining the strengths of both worlds

BW:

- SAP Extractors

- Data Services

- SLT

Native HANA:

- SAP Extractors (DXC)

- Data Services

- SLT

BW InfoProvider consumption in HANA

HANA model consumption in BW

HANA data staged into BW

BW data provisioning for HANA


TransientProvider based on HANA Model

For ad hoc scenarios

Generated not modeled, no InfoObjects required

Full BEx Query support

Can be included in a CompositeProvider to combine with

other BW InfoProviders

VirtualProvider based on HANA Model

For a flexible integration of HANA data with BW managed

metadata (e.g. lifecycle)

Security handled by BW

Full BEx Query support

Can be included to Composite- and MultiProvider to

combine with other BW InfoProviders

SAP BW

on HANA

SAP BW Schema

SAP HANA Schema(s)

HANA Analytical View

InfoCube TransientProvider Virtual Provider

Query Query Query

Composite

Provider

SAP HANA

Recap - Consumption of SAP HANA data models in BW before SP8

SAP NetWeaver BW – SAP HANA Interoperability



Optimized SAP HANA Data Load into

SAP NetWeaver BW

Complementary to DB Connect

Based on new source system type: Operational Data

Provider (ODP) with the context „HANA‟

Enable direct loading from HANA Views via DTP into BW

managed schema

Data persistency in PSA optional

Mass data loading

SAP BW

on HANA

SAP BW Schema

SAP HANA Schema(s)

SAP HANA Analytic /

Calculation / Attribute View

InfoCube

Data Transfer

Process

DSO MasterData

SAP HANA

Direct loading of HANA data into BW

ODP source system,

context ‚Hana„


SAP NetWeaver BW Virtual Master Data

HANA attribute view exposed as master data in BW

No data staging of SAP HANA master data required

Prior to SP 8 information in master data tables stored in

SAP HANA schema could only be consumed in BW query

via staging into BW

SAP BW

on HANA

SAP BW Schema

SAP HANA Schema(s)

SAP HANA Attribute

View

Virtual

Info

Object

Master Data Read

Class

Query

InfoProvider

Virtual

Info

Object

Virtual

Info

Object

SAP HANA


Easy consumption of HANA master data in BW queries


Open Hub Destination with new target

SAP HANA DB:

Support data transfer from BW InfoProviders,

DataSources and Queries into tables residing in SAP

HANA for further usage by HANA applications.

Default is 1:1 mapping, individual transformation can

be modeled

Delta extraction supported for InfoProviders and

DataSource

Query snapshots via QueryProvider are possible

Supported also for BW on classic RDBMS BW Schema HANA Schema

SAP BW

on HANA

SAP HANA

SAP BW Schema

SAP HANA Schema(s)

SAP HANA table

InfoCube Open Hub Service

DSO

MasterData

SAP HANA


Flexible BW Data Provisioning for SAP HANA applications

Query

DataSource


Generate Analytic View for BW

InfoProvider via HANA Modeler

Generated Analytic View contains basic BW

Metadata

Generated Analytic View can be consumed via

SAP HANA interfaces and used in further SAP

HANA models

This enables SAP BO Explorer on BW data

SAP BW

on HANA

SAP HANA

Explorer

consumes

BW Schema

SAP BW Schema

SAP HANA Schema(s)

SAP HANA

HANA Analytic View

Info

Cube DSO

Master

Data


Easy BW InfoProvider Consumption

generates

SAP HANA Studio


“Non Active” Data Concept *

Tables/partitions in SAP HANA can be marked as

“non active”

Such tables/partitions are …

loaded into RAM only when accessed

loaded into RAM in case of read access (column-wise)

and processed as usual (same speed and functionality)

loaded to RAM for merge process (if new data was

written and delta reaches limit)

displaced from RAM with highest priority in case of RAM

shortage (but only then) or when actively a cleanup is

triggered

BW automatically marks all PSA tables and all write-optimized

DSO tables as “non-active”, no extra maintenance or tuning is

necessary

Data Stores (RAM)

Providing lower TCO by optimized RAM sizing

Persistence

Layer

* Requires HANA SPS 5


Performance Data volume

• Data is read and/or written frequently

• In memory

• No restrictions, all features available

• Infrequent access

• On disk, no need to keep in memory all the time

• No restrictions, all features available

• Sporadic access

• Not stored in HANA DB; stored in Near-line Storage

• Restricted to NLS capabilities

Multi Temperature Data

Non-Active Data Concept

Providing lower TCO by optimized RAM management

hot

warm

cold


“Non Active” Data Concept – SAP NetWeaver BW

Optimized RAM sizing

• “Non active” data concept has substantial

impact on SAP NetWeaver BW on SAP

HANA RAM sizing

• Assumption: only ~ 20% of “non active”

tables are required in memory, rest resides

on disk only.

• ABAP Sizing Report (note 1736976) for SAP

NW BW on HANA will take “non active” data

into account

Examples of Customer

Savings

0

500

1000

1500

2000

2500

3000

Customer A

Software Industry

Customer B

Beverage Industry

Customer C

Automotive Industrie

GB RAM Size without “non active” data consideration

GB RAM Size with “non active” data consideration

32%

Reduces RAM sizing, thereby reducing TCO

37% 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

Conversion of Semantic Partitioned Objects to HANA optimized

Source1 Source2 Source3

Sem

an

tic P

art

itio

ned

Ob

ject

(SP

O)

Source1 Source2 Source3

Sem

an

tic P

art

itio

ned

Ob

ject

(SP

O)

RSMIGRHANADB

SAP HANA

optimized SPO

Tool Support for Converting existing SPOs to HANA-optimized DSOs and InfoCubes

Integrated into standard conversion tool RSMIGRHANADB to ensure consistency during conversion

Conversion can be re-started at any time in case of failure

Providing Investment Protection for investment made in SPOs



Partitioning of Write-Optimized DSOs

Main Index

Delta Index

Merge

Request 1

Request 2 Request n

Better performance of write-optimized

DataStore Objects

Write-optimized DSO are now partitioned by request-ID

Partitioning improves merging performance

significantly, especially in case the delta Index is

merged for a large Write-Optimized DSO.

With partitioning only the relevant (last) partition (with

changed/new records) is merged.

In addition performance for read and delete is

improved, because with partition pruning only a subset

of the data is accessed.

Reduces data latency for Write-Optimized DSOs

Main Indexes


Agenda







Enhanced Support of 3.x -> 7.x Dataflow Migration


DSO Planning

Outlook




Enhancements of Dataflow Migration Tool

Simulate the dataflow before migration:

Support of BW3.x BW7.x DataFlow migration is

further enhanced

Results of 3.x and 7.x dataflow are simulated based on

the source data of the dataflow

Data is compared to see if dataflow after migration

calculates the same data as before migration

Differences can be analyzed using a new UI

Easy validation of dataflow migration

Simulation

of 7.x

DataFlow

Simulation

of 3.x

DataFlow



Documentation Download for Dataflows

Create file for project documentation

Preview and download the documentation and the

metadata description of all object assigned to a

BW Dataflow into an HTML file.

Separate file for dataflow graphics, dataflow

documentation and query details

For each object in the data flow, dependent

objects, available documents and underlying

InfoObjects are shown

For each transformation the detailed field

mapping including formulas and ABAP routines

are displayed

“One Click Only” Dataflow Documentation


Planning on DataStore Objects *

Planning is not always cumulative:

• For planning scenarios that need aggregation

other than SUM:

• Discounts

• Prices

• Packaging planning

• . . .

• Planning for prices, packaging (UoM) and

discounts requires the individual values at each

level to be maintained

Product Group Product Revenue Price

Water 59000 4,00 €

Water Sparkling 0,5 l 18000 1,20 €


Water Still 0,5 l 26000 1,30 €

Providing additional planning flexibility

Not applicable

* For BW 7.3 on HANA planned for SP9


Planning on DataStore Objects

Aggregation level:

basis for planquery

Product

Group

Product Revenue Price

Water 59000



Water Still 0,5 l 26000 1,30 €

MultiProvider

Embedded calculations “Revenue” is input enabled.

“revenue” will be stored in

InfoCube.

Manual input of non-

summable values “Price” will be stored in DSO

InfoCube

actual / plan

data

DSO (type

direct

update)

Technical realization via DataStore Object

- type direct update *

Consists of table of active data only

Disaggregation for key figures based on exception

aggregation

Possibility to change DSO data by planning functions

(e.g. copy the data from InfoCube to DSO)

Possibility to write data back from the

front-end into the DSO (manual data entry)

Providing additional planning flexibility

1,00 €

1,00 €

1,00 €

1,00 €

Copy down


Agenda

SAP HANA-specific features*


“Not active” data concept




Enhanced Support of 3.x -> 7.x Dataflow Migration


DSO Planning

Outlook



Planned Innovations Future Direction Today

2013

SAP NetWeaver BW Product Roadmap Overview – Key Themes and Capabilities

Upcoming planned release

HANA-and platform independent

SAP NetWeaver BW Near Line Storage

solution (NLS) based on Sybase IQ

– Helps to reduce TCO by reducing data

volume in BW

– Shortens backup time frames

– High speed analysis for NLS residing

historical information

– SAP owned solution out of one hand

SAP NetWeaver BW Post-Copy Automation

Refresh

– Helps to reduce operations costs and risks

by automating post-copy configuration

tasks

– Availability planned with 2013/Q2 for all

releases from BW 7.0 onwards

Future innovations

Prepare for Big Data

Data LifeCycle Management /

Multi-temperature data

Bulk load capabilities

Dimensions with more than 2 billion members

Hadoop connection

Additional flexibility / agility

Harmonize SAP NetWeaver BW and

SAP HANA modeling

Eclipse based modeling environment in BW

e.g. BW Query Designer, CompositeProvider

PSA layer becomes optional

Leverage HANA libraries in BW

transformations

Support extra long texts

(Release SAP NW BW 7.3 SP8; SAP NW BW 7.31 SP5)

* SAP will continue to support RDBMS platforms

This presentation outlines our general product direction and should not be relied on in making a purchase decision. 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 NW BW 7.3 on SAP HANA

SAP HANA specific features

Performance boost for data loading, query response

time and In-memory planning

SAP HANA-optimized InfoCubes and Data Store Objects

Simplified and faster data modeling/remodeling

“Not active” data concept

SAP NetWeaver BW and SAP HANA Mixed Scenarios

(BO Explorer, BW Virtual Master Data, etc.)

Support of Semantic Partitioned Objects and enhanced

partitioning for write optimized DSOs

Simplified system landscape

Platform independent highlights*

Graphical data flow modeling and enhanced support of

3.x-> 7.x data flow migration

Semantic Partitioned Objects (SPO)

Rapid prototyping of Ad Hoc scenarios via BW

Workspaces

File download of BW meta data

DSO planning

Tighter integration with SAP Data Services

(Release SAP NW BW 7.3 SP9; SAP NW BW 7.31 SP7)


Additional Information

For additional information see also the Release Notes:

http://help.sap.com/saphelp_nw73/helpdata/en/13/7ac752744c4235a09b58e13be08f61/frameset.htm




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