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Nouveautés BW 7.4 on HANA

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

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Nouveautés BW 7.4 on HANA

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  1. Nouveautés BW 7.4 on HANA Speaker’s Name/Department (delete if not needed)Month 00, 2013 Customer

  2. 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

  3. SAP Business Warehouse Powered by SAP HANA QUERY REPORTING ANALYTICS DATA MODELING SAP BOBJ Busines Intelligence SAP NetWeaver BW SAP HANA PLATFORM Data Management Data Storage Analytical / Planning Engine Unlock The Power of Your Data Across The Enterprise Self-service access to all information at the most granular level Simplified Administration and Streamlined Landscape Reduced administration and lower TCO Dramatically Improved Performance Improved decision making, faster reporting, and the most up-to-date information

  4. SAP BW on HANA – Smarter, simpler, more efficientHow Does BW running on RDBMS differ from BW running on HANA ? • HANA as the Primary Database for BW and Foundation for new Applications • Customer value of SAP BW powered by SAP HANA • Excellent query performancefor improved decision making • Performance boost for Data Load processesfor decreased data latency • Accelerated In-Memory planning capabilitiesfor faster planning scenarios • Flexible combine EDW with HANA-nativedata for real-time insights and decision making • Data persistency layers are cut off and reduced administration efforts • Simplified data modeling and remodeling • Data intensive functions are pushed down from BW to HANA SAP NetWeaver BW SAP BW on HANA ProcessOrchestration ProcessOrchestration Data Modeling Data Modeling Planning Planning OLAP OLAP Data Management Data Management • BWA Push Down • Data Schema & Data RDBMS HANA Stack Traditional Stack

  5. Push Down ListPlanned with SAP BW 7.4, SP5 and future SPs on HANA • OLAP Features pushed down to HANA in BW 7.3x • Hierarchy Handling Part I • Restrictedkeyfigures • Exception Aggregation CNT for quantity key figures without unit conversion • Exception Aggregation of currency key figures with optional currency conversion • 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 BW / BEX Query Designer BW Application Server Analytic Manager BW Query In Memory Database Calculation and Planning Engine Calc.-views / Calc. scenarios Row & Column Storage

  6. SAP BW 7.4, SP5 – OverviewPlanned with SAP BW 7.4, SP5 on HANA • Enhanced Data Modeling • Common Eclipsebased Modeling Tools • BW/HANA Smart Data Access providing the logical EDW • Easy integrationof external datamodelswithOpen ODS Layer • Further reducedatalayers in BW via Operational Data Provisioning • Push down further processing logic to HANA • BW Analytic Manager • HANA Analysis Processes • BW Transformations • PAK – Pushing down more planning semantics • Enhanced mobile enablementConverged planning solutionsBW Content optimized for HANA BW Queries, ODATA, MDX, SQL BW Virtualization Layer Agile DatamartsBW Workspaces Architected Datamart Layer Transformations EDW Core Layer Transformations Open Operational DataStore Layer HANA tables, views DataStore Objects BW Schema HANA Schema External Sources

  7. HANA Smart Data Access for SAP BW

  8. Smart Data AccessPlanned with SAP BW 7.4, SP5 on HANA • Enhanced Business Flexibility by providing “the logical EDW”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 • Scenario • 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 datamartscenariosfromsecond HANA database Query BW Virtualization Layer Composite Provider, Open ODS View HANA Smart Data Access Layer HANA Tables Virtual Tables Teradata Hadoop SAP HANA ASE IQ

  9. Field based modeling in BW on virtual HANA TablesPlanned with SAP BW 7.4, SP5 on HANA • 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 forTeradata, Sybase ASE/IQ, Hadoop • Optimized Query executionbypushing down to HANA • Supported scenarios: • Virtual Access • Persistent Access * • Switch from Virtual to Persistent * • Based on Field based DSO including DTP and Transformation • Direct staging into DSO bypassing PSA • 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 BW ManagedPersistence* Virtual Access 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 External Sources Table/View Table/View * Pilot only (Note 1922533)

  10. Data Provisioning

  11. Operational Data Provisioning (ODP) TechnologyPlanned with SAP BW 7.4, SP5 on HANA Provider Subscriber / Consumer 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 ofservice: „ExactlyOnce in Order“ for all providers • Intelligent parallelization options for subscribers in high volume scenarios * SAP DataServices Operational Data Provisioning * ODQ Target BW * Embedded Analytics HANA Views SLT *) New with SAP BW 7.4 Source BW SAP ERP Extractors

  12. Simplified dataprovisioningfrom SAP ERP and SAP BWPlanned with SAP BW 7.4, SP5 on HANA • Provider ERP Extractors • Direct Update to BW InfoProviders – PSA not required • Scheduled or real – time daemon • Automaticchangenotificationfordaemon • Consumption by multiple subscribers • Provider BW • Enables direct stagingbetweenInfoProvidersofsourceandtarget BW systems • PSA not required • Consumption of ODQ by multiple BW subscribersand SAP Data Services • Benefits • Simplified dataflow • PSA nolongerrequired • Flexible recoveryoptions • Stream linedsystemcommunication • Synchroneous RFC replaces ALE/IDoc SAP BW SAP BW MasterData Operational Delta Queue InfoCube DSO DSO DTP w/o PSA ODP DataSource DTP w/o PSA ODP DataSource Operational Delta Queue (ODQ) Extractors(BW SAPI DataSources) Table Table Table ERP Source System

  13. Given SAP ERP Business Content DataSourcewithDirect AccessExample: Financials - Customer Balances (0FI_AR_20) BCT DataSource ODP Source System – SAP Extractors DataSource Fields Extractor Capabilities

  14. New ODP Source System Types in BW 7.40 ODP for SAPI Sources ODP for SLT supported DBMSs

  15. Open ODS View - Seen via SAP BO Analysis for MS Excel

  16. Architecture with source systems, ODP/SLT system and Subscribers Source System Subscriber Systems ODP/SLT System SAP NetWeaver ECC SAP NetWeaver ECC SAP NetWeaver ECC SAP NetWeaver BW SAP LT Repl. Server DMIS DMIS DMIS User RFC ODP Framework ODP Framework SAP Data Services DB trigger DB trigger DB trigger ODP Framework AnyDB AnyDB AnyDB HTTP Webservice ODP Rep API • DMIS 2011 SP5 (SAP LT Replication Server 2.0 Add-on) required on: sourcesystems, ODP/SLT system, SAP BW system (forsourcesystem also possiblewith DMIS 2011 SP3/SP4 and DMIS 2010 SP8/SP9 with SAP Note 1863476) • ODP Framework required on:ODP/SLT systemand Subscriber systems ODQ Logging table Logging table Logging table Application table Application table Application table • CurrentSubscribersforthe ODP/SLT Scenario • SAP NW Business Warehouse (release >= 7.30) • SAP Business Objects Data Services 4.2 SP1 (RTC Q4/2013)

  17. Eclipse based Modeling Tools

  18. Common modeling toolsPlanned with SAP BW 7.4, SP5 on HANA • Common user experience via a central, unified modeling environment • 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 • New developed native Eclipse based modeling tools for Open ODS View and New CompositeProvider • ABAP Development Tools • … SAP HANA Studio BW Modeling Tools ABAP Development Tools Eclipse Platform

  19. HANA Analysis Processes

  20. HANA Analysis ProcessPlanned with SAP BW 7.4, SP5 on HANA Source Function Target • Enhanced analysis capabilities • Execute HANA-native functions directly on BW InfoProvider data e.g.: • Clustering, association algorithms, regression analysis, anomaly detection, weighted score, exponential smoothing, etc. • 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 BW Process Management BW InfoProvider AFL(PAL, …), Procedure, L-Script, R-Script BW InfoProvider

  21. HAPs in detailsPlanned with SAP BW 7.4, SP5 on HANA • Sources • Most BW InfoProvider • Database tables • Supportedprocedures/algorithms • AFL-functions (PAL, …) • L-script, R-script, SQL-scriptprocedure. • Supportedoutput • Analytic Index (modeled/generated/virtual), • DSO, databasetable • HAP Input (“stacked HAPs”) • Staging integration • stand-alone, • triggered via APIs fromapplications, • processchain variant, • source of a DTP

  22. Transformations

  23. SAP HANA optimized TransformationsPlanned with SAP BW 7.4, SP5 on HANA BW 7.3x on anyDB BW 7.3x on HANA BW 7.4 on HANA • 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 Application Server DSO DSO DSO Activation Transformation Transformation Activation Activation Database Transformation Data Data Data

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