SAP BW on HANA

Report
Nouveautés BW 7.4 on HANA
Speaker’s Name/Department (delete if not needed)
Month 00, 2013
Customer
SAP BW Today (September 2013)
14500+
Customers
200
New Installations/Month
3500+
BW 7.3 Customers
Vast majority: Central EDW, harmonizing many source systems
Embedded into mission critical business processes
500+
BW on HANA Customers
© 2013 SAP AG. All rights reserved.
Customer
2
SAP Business Warehouse
Powered by SAP HANA
QUERY REPORTING ANALYTICS
SAP BOBJ Busines Intelligence
DATA MODELING
SAP NetWeaver BW
SAP HANA PLATFORM
Analytical /
Planning
Engine
Data
Management
Data Storage
Dramatically Improved
Performance
Simplified Administration and
Streamlined Landscape
Unlock The Power of Your
Data Across The Enterprise
Improved decision making, faster
reporting, and the most up-to-date
information
Reduced administration
and lower TCO
Self-service access to all information at
the most granular level
© 2013 SAP AG. All rights reserved.
Customer
3
SAP BW on HANA – Smarter, simpler, more efficient
How Does BW running on RDBMS differ from BW running on HANA ?
Customer value of SAP BW powered by
SAP HANA
SAP NetWeaver BW
SAP BW on HANA
Data Modeling
Process
Orchestration
Process
Orchestration
Data Modeling
Planning
OLAP
Data Management
Traditional Stack
© 2013 SAP AG. All rights reserved.
 Performance boost for Data Load processes
for decreased data latency
 Accelerated In-Memory planning capabilities
for faster planning scenarios
Planning
 Flexible combine EDW with HANA-native
data for real-time insights and decision making
OLAP
 Data persistency layers are cut off and
reduced administration efforts
Data
Management
 Simplified data modeling and remodeling
Push Down
RDBMS
 Excellent query performance
for improved decision making
Data Schema
&
Data
Data intensive functions are pushed down
from BW to HANA
HANA as the Primary Database for BW and
Foundation for new Applications
HANA Stack
Customer
4
Push Down List
Planned with SAP BW 7.4, SP5 and future SPs on HANA
BW / BEX Query Designer
Analytic Manager
OLAP Features pushed down to HANA in BW 7.3x
• Hierarchy Handling Part I
• Restricted key figures
• Exception Aggregation CNT for quantity key figures without unit
conversion
• Exception Aggregation of currency key figures with optional currency
conversion
BW Query
BW Application Server
Calculation and Planning Engine
Calc.-views /
Calc. scenarios
Row & Column Storage
OLAP Features pushed down to HANA in BW 7.4 SP5
• Processing of further query scenarios in HANA (Joins, Union, etc.)
• Avoid intermediate result set materialization (e.g. Exception Aggregation)
OLAP Features pushed down to HANA in BW 7.4 SP6 and beyond
• Handling of inventory keyfigures
• Stock coverage keyfigure
• Hierarchy Handling Part II
• Formula exception aggregation
In Memory Database
© 2013 SAP AG. All rights reserved.
Customer
5
SAP BW 7.4, SP5 – Overview
Planned with SAP BW 7.4, SP5 on HANA
Enhanced Data Modeling
 Common Eclipse based Modeling Tools
 BW/HANA Smart Data Access providing the logical
EDW
BW Queries, ODATA, MDX, SQL
 Easy integration of external data models with
Open ODS Layer
BW Virtualization Layer
 Further reduce data layers in BW via Operational
Data Provisioning
Architected Datamart
Layer
Push down further processing logic to HANA
Transformations
 BW Analytic Manager
EDW Core Layer
Transformations
Open Operational DataStore Layer
HANA tables, views
DataStore Objects
BW Schema
HANA Schema
 HANA Analysis Processes
Agile
Datamarts
BW
Workspaces
 BW Transformations
 PAK – Pushing down more planning semantics
Enhanced mobile enablement
Converged planning solutions
BW Content optimized for HANA
External Sources
© 2013 SAP AG. All rights reserved.
Customer
6
HANA Smart Data Access for SAP BW
Smart Data Access
Planned with SAP BW 7.4, SP5 on HANA
Enhanced Business Flexibility by
providing “the logical EDW”
Query
Data Federation in diverse EDW landscapes
• Smart data access – read access to relational and
non-relational sources via ODBC
• Enables access to remote data access just like
“local” table
• Supports data location agnostic development
• No special syntax to access heterogeneous data
sources
• BW based Analytic Services on external data
BW Virtualization Layer
Composite Provider, Open ODS View
HANA Tables
Virtual Tables
Scenario
HANA Smart Data Access Layer
IQ
Teradata
ASE
Hadoop
• Make other DWHs transparent to HANA
• Non-disruptive evolution from virtual table to
persistent structure by establishing ETL without
major effort
• Consolidating / rationalizing the DWH landscape
• Consumption of HANA datamart scenarios from
second HANA database
SAP HANA
© 2013 SAP AG. All rights reserved.
Customer
8
Field based modeling in BW on virtual HANA Tables
Planned with SAP BW 7.4, SP5 on HANA
Virtual Access
BW Managed
Persistence *
Virtual Access
BW Query
BW Query
Open ODS Layer
Open ODS Layer
Open ODS View
Virtual
Open ODS View
Virtual
DSO w/ fields*
Persistent
BW on
HANA
Virtual Table
Virtual Table
Smart Data
Access
Table/View
* Pilot only
(Note 1922533)
© 2013 SAP AG. All rights reserved.
Table/View
External Sources
Open ODS View offers
• Metadata object as an abstraction layer for underlying source
object
• HANA virtual tables as supported source objects via SDA
• Querying on field level
• Supported for Teradata, Sybase ASE/IQ, Hadoop
• Optimized Query execution by pushing down to HANA
• Supported scenarios:
 Virtual Access
 Persistent Access *
o Switch from Virtual to Persistent *
o Based on Field based DSO including DTP and
Transformation
o Direct staging into DSO bypassing PSA
o No need to adjust existing queries
Easy assignment of semantics
• Underlying object (Table, DB View, DataSource) can be tagged
as Text, Master data or Facts
• Single fields of the object can be linked to already existing
Open ODS Views or InfoObjects
Customer
9
Data Provisioning
Operational Data Provisioning (ODP) Technology
Planned with SAP BW 7.4, SP5 on HANA
Subscriber /
Consumer
Provider
SLT
*
SAP DataServices
Operational
Data
Provisioning
SAP ERP Extractors
ODQ
HANA Views
*
Target BW
*
Source BW
© 2013 SAP AG. All rights reserved.
Embedded Analytics
Unified technology for data provisioning
and consumption
 Enables extract once deploy many architectures
for sources
 Unified configuration and monitoring for all
provider and subscriber types
 Time stamp based recovery mechanism for all
provider types with configurable data retention
periods
 Highly efficient compression enables data
compression rates up to 90% in Operational Delta
Queue (ODQ)
 Quality of service: „Exactly Once in Order“ for all
providers
 Intelligent parallelization options for subscribers in
high volume scenarios
*) New with SAP BW 7.4
Customer
11
Simplified data provisioning from SAP ERP and SAP BW
Planned with SAP BW 7.4, SP5 on HANA
Provider ERP Extractors
SAP BW
SAP BW
DTP w/o PSA
ODP DataSource
Operational Delta Queue (ODQ)
Extractors
(BW SAPI DataSources)
Table
ERP Source System
© 2013 SAP AG. All rights reserved.
DSO
Provider BW
• Enables direct staging between InfoProviders of source
and target BW systems
• PSA not required
• Consumption of ODQ by multiple BW subscribers and SAP
Data Services
Benefits
Table
Table
DTP w/o PSA
DSO
ODP DataSource
InfoCube
Operational
Delta Queue
MasterData
• Direct Update to BW InfoProviders – PSA not required
 Scheduled or real – time daemon
 Automatic change notification for daemon
• Consumption by multiple subscribers
•
•
•
•
Simplified data flow
PSA no longer required
Flexible recovery options
Stream lined system communication
 Synchroneous RFC replaces ALE/IDoc
Customer
12
Given SAP ERP Business Content DataSource with Direct Access
Example: Financials - Customer Balances (0FI_AR_20)
BCT DataSource
© 2013 SAP AG. All rights reserved.
1.
ODP Source System –
SAP Extractors
2.
DataSource
3.
Fields
4.
Extractor Capabilities
Customer
13
New ODP Source System Types in BW 7.40
ODP for SAPI Sources
ODP for SLT supported DBMSs
© 2013 SAP AG. All rights reserved.
Customer
14
Open ODS View - Seen via SAP BO Analysis for MS Excel
© 2013 SAP AG. All rights reserved.
Customer
15
Architecture with source systems, ODP/SLT system and Subscribers
Source System
SAP NetWeaver ECC
SAP NetWeaver ECC
SAP NetWeaver ECC DMIS
Application table
Application table
Application
Logging table
DBtable
trigger
Logging table
DB trigger
Logging table
DB trigger
AnyDB
AnyDB
AnyDB

Subscriber Systems
ODP/SLT System
SAP NetWeaver BW
SAP LT Repl. Server
DMIS
ODP Framework
DMIS
RFC
ODP Framework
User
SAP Data Services
ODQ
ODP Rep API
ODP Framework
HTTP Webservice
DMIS 2011 SP5 (SAP LT Replication Server 2.0 Add-on) required on:
source systems, ODP/SLT system, SAP BW system
(for source system also possible with DMIS 2011 SP3/SP4 and DMIS 2010 SP8/SP9 with SAP Note 1863476)

ODP Framework required on:
ODP/SLT system and Subscriber systems
Current Subscribers for the ODP/SLT Scenario
 SAP NW Business Warehouse (release >= 7.30)
 SAP Business Objects Data Services 4.2 SP1 (RTC Q4/2013)
© 2013 SAP AG. All rights reserved.
Customer
16
Eclipse based Modeling Tools
Common modeling tools
Planned with SAP BW 7.4, SP5 on HANA
Common user experience via a central, unified modeling
environment




© 2013 SAP AG. All rights reserved.
Attractive, flexible and simplified BW modeling tools
Harmonization BW and HANA modeling environments
Integration of BW and HANA models in one modeling approach
Integrated development & modeling environment across
– SAP HANA Modeler,
– BW Modeling
o New developed native Eclipse based modeling tools for
Open ODS View and New CompositeProvider
– ABAP Development Tools
– …
Customer
18
HANA Analysis Processes
HANA Analysis Process
Planned with SAP BW 7.4, SP5 on HANA
Enhanced analysis capabilities
 Execute HANA-native functions
directly on BW InfoProvider data e.g.:
BW Process Management
– Clustering, association algorithms,
regression analysis, anomaly
detection, weighted score, exponential
smoothing, etc.
Source
Function
Target
BW InfoProvider
AFL(PAL, …), Procedure,
L-Script, R-Script
BW InfoProvider
© 2013 SAP AG. All rights reserved.
 Execute complex and data intensive
processes on HANA without loosing
the integrity and integration with the
BW environment
 Materialize the result of a HANA
Analysis Process in HANA for further
processing – automated
 Supporting also a scheduled batch
processing use case
Customer
20
HAPs in details
Planned with SAP BW 7.4, SP5 on HANA
Sources
 Most BW InfoProvider
 Database tables
Supported procedures/algorithms
 AFL-functions (PAL, …)
 L-script, R-script, SQL-script procedure.
Supported output
 Analytic Index (modeled/generated/virtual),
 DSO, database table
 HAP Input (“stacked HAPs”)
Staging integration




© 2013 SAP AG. All rights reserved.
stand-alone,
triggered via APIs from applications,
process chain variant,
source of a DTP
Customer
21
Transformations
SAP HANA optimized Transformations
Application Server
Planned with SAP BW 7.4, SP5 on HANA
BW 7.3x on anyDB
BW 7.3x on HANA
BW 7.4 on HANA
DSO
DSO
DSO
Activation
Transformation
Transformation
Database
Activation
Activation
Transformation
Data
© 2013 SAP AG. All rights reserved.
Data
Data
Next level of performance in data
staging for BW on HANA
 Standard Transformations are gradually
optimized to be processed directly in SAP
HANA by generating according DB
procedure
 First set of Transformations optimized i.e.:
–
–
–
–
–
Mappings
Conversions (time, currency, units)
Formulas
Read Master Data, Read from DSO
Expert routine for HANA SQL script. . .
 Sources:
PSA, DSOs, InfoCubes, SPOs,
CompositeProvider, MultiProvider
 Targets: DSO
Customer
23

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