SAP Product Road Map SAP NetWeaver Business Warehouse powered by SAP HANA

Transcription

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

2 Legal disclaimer 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 forwardlooking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions. 3

3 Introduction to product road maps 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 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, Rampup Knowledge Transfer materials and product documentation. 4

4 Table of contents Product Overview Product description Customer needs and the value propositions Road map overview Product Road Map Today Planned Future Appendix 5

5 Product Overview Product description Customer needs and the value propositions Road map overview

6 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 7

7 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 8

8 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 9

9 SAP NetWeaver BW powered by SAP HANA Product road map overview - key themes and capabilities 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 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 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 Today (Release 7.30 on SAP HANA) *SAP will continue to support RDBMS platform Planned Innovations Future Direction This is the current state of planning and may be changed by SAP at any time. 10

10 Product Road Map Today Planned Future

11 SAP NetWeaver BW powered by SAP HANA Product road map overview - key themes and capabilities 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 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 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 TODAY Planned Innovations Future Direction (Release 7.30 on SAP HANA) *SAP will continue to support RDBMS platform This is the current state of planning and may be changed by SAP at any time. 12

12 SAP NetWeaver BW 7.3 powered by SAP HANA How does BW 7.3 running on SAP HANA differ from BW running on xdb? 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 TODAY 13

13 SAP NetWeaver BW 7.3 powered by SAP HANA Overview and challenge 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 TODAY 14

14 SAP NetWeaver BW 7.3 powered by SAP HANA Creation of consistent delta information 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 Active Data Table Lookup Data Packages Change Log Calculate Delta Update Roundtrips to application server needed for delta calculation Sorted Full Table Scan Activation Queue TODAY 15

15 SAP NetWeaver BW 7.3 powered by SAP HANA SAP HANA optimized DataStore Objects - Accelerated data loads 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 User interface Layer Presentation SAP NW BW Application Layer DSO Objects SAP NW BW Database Layer xdb Activation Data User interface Layer Presentation SAP NW BW Application Layer SAP NW BW Database Layer SAP HANA DSO Objects Activation Data TODAY 16

16 Runtime in seconds SAP NetWeaver BW 7.3 powered by SAP HANA SAP HANA optimized DataStore Objects Lab results showing the increased performance of SAP NetWeaver BW on HANA compared to RDBMS 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 Activation Runtime - Lab Results Delta: 0.1 M, Active: 1 M Delta: 1 M, Active: 10 M Delta: 10 M, Active: 100 M BW RDMBS RDBMS based In-Memory optimized TODAY 17

17 SAP NetWeaver BW 7.3 powered by SAP HANA SAP HANA optimized InfoCubes faster data loads, easier modeling Faster data loads, easier modeling MD MD 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 MD MD D D MD MD Facts F E Traditional Facts MD MD SAP HANA optimized TODAY 18

18 SAP NetWeaver BW 7.3 powered by SAP HANA Similar or better query performance compared to SAP NetWeaver BWA 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 Query on DSO, BW InfoSet SQL Engine SAP NW BW SAP HANA Query on InfoCube, DSO(with SIDs), MultiProvider, Masterdata AnalyticIndex, CompositeProvider Calc Engine Aggregation Engine on In-Memory data No changes of processes, MultiProvider, queries required TODAY 19

19 SAP NetWeaver BW 7.3 powered by SAP HANA Query performance - are InfoCubes still required? 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 Aggregates or BWA index Rollup Query Conclusion There are scenarios where the InfoCube layer becomes obsolete Less materialized data and simplification InfoCube DTP Conversion InfoCube DTP Conversion Decision to be made scenario by scenario: Business and Performance needs DataStore Object DataStore Object DataStore Object (w SID generation) BW 7.x on RDBMS SAP NetWeaver BW on SAP HANA SAP NetWeaver BW on SAP HANA InfoCube can be removed when used for query performance only TODAY 20

20 SAP NetWeaver BW 7.3 powered by SAP HANA Interoperability - flexible integration 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 TODAY 21

21 SAP NetWeaver BW 7.3 powered by SAP HANA In-memory planning - accelerated planning functions 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 User interface Layer Presentation SAP NW BW Application Layer Orchestration SAP NW BW Database Layer Calculation User interface Layer Presentation SAP NW BW Application Layer SAP NW BW Database Layer Orchestration Calculation xdb Data SAP HANA Data TODAY 22

22 SAP NetWeaver BW 7.3 powered by SAP HANA BW in-memory planning - simple disaggregation example User changes a plan value Traditional Approach Determine the delta +50 Disaggregate (in appl. server) per week (52) per branch (500) combinations / values Send values to DB to save 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 values TODAY 23

23 SAP NetWeaver BW powered by SAP HANA Product road map overview - key themes and capabilities 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 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 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 Today (Release 7.30 on SAP HANA) *SAP will continue to support RDBMS platform PLANNED INNOVATIONS Future Direction This is the current state of planning and may be changed by SAP at any time. 24

24 SAP NetWeaver BW powered by SAP HANA 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). PLANNED INNOVATIONS This is the current state of planning and may be changed by SAP at any time. 25

25 SAP NetWeaver BW powered by SAP HANA Product road map overview - key themes and capabilities 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 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 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 Today (Release 7.30 on SAP HANA) *SAP will continue to support RDBMS platform Planned Innovations FUTURE DIRECTION This is the current state of planning and may be changed by SAP at any time. 26

26 SAP NetWeaver BW powered by SAP HANA Future direction 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 FUTURE DIRECTION This is the current state of planning and may be changed by SAP at any time. 27

27 Summary Business Benefits IT Benefits 28

28 Thank you Road map contacts for customers and partners Lothar Henkes Senior Director

29 Key links for more information For customers and partners Key links Road maps on SAP Service Marketplace SAP Community Network (SCN) SCN for SAP NetWeaver Business Warehouse Where to go to provide product feedback and ideas SAP Idea Place Influence programs SAP User Groups 30

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