SAP HANA data warehousing

Transcription

1 data warehousing Vision & Roadmap March 2016 Product Management DW

2 Disclaimer 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.

3 Agenda Introduction SAP DW Strategy Components & Roadmap 3

4 Game Changing Trends Transform the Steadily Growing Data Warehouse Market Data People Location cloud, data lakes Types behavioral data, IoT Volumes PB, > 40% growth YoY Performance real-time results Scope predictive, agile analytics Value new & unused data (> 85%) 4

5 Characteristics Consolidates data across the enterprise Standardized data model Supports decision making Main Tasks Define common semantics Harmonize data values Establish a single version of truth Provide a single, comprehensive source of current and historical information Why is still data warehousing necessary? Hadoop data lake Non-SAP SAP HANA Vora Analytics (BI, Predictive, Planning) Streaming C4C Data Warehouse Single Point of Truth Virtual Access Emb. Analytics S/4HANA Cloud for Analytics ETL SAP ERP ELT SFSF feeding external systems Planning & Forecast 5

6 Market Expectations Gartner 1 Emerging data sources, trends and technologies challenge the effectiveness of data warehouses in supporting analysis and decision making. IDC 2 : The data warehousing market based on relational databases will continue to be disrupted by several non-relational and/or non-schematic information management software categories. Data warehouses will not disappear as they have a key place in an organization's data architecture. * Strategic Roadmap for Modernizing Your Data Warehouse Initiatives Mark Beyer and Lakshmi Randall, Gartner, October 2016 * 2 Worldwide Business Analytics Software Forecast, by Dan Vesset et al, IDC, July Doc #

7 Agenda Introduction SAP DW Strategy Components & Roadmap 7

8 Progress from an Advanced Basis SAP Technology, BW leading In-Memory platform, comprehensive DW solution SAP s cloud strategy steadily growing technology and solution portfolio Hadoop integration superior analytics for Hadoop with Vora Data Warehouse and Customers customers SAP BW on HANA SAP Power Designer

9 Current Portfolio Tool Use Cases SAP Agile Data Preparation / Information Steward Data Lineage: monitor flow of data across models (until avail. via Information Steward) Empowers to discover, assess, define, monitor and improve data quality extended application Server Full embed a featured application server, web server, and development environment SAP Power Designer Conceptual & Logical Modeling, Reverse-Engineering, Impact Analysis, Model Comparison, New Model Versioning EIM Services Provides ETL services & data replication, advanced data transformation and data quality functionality Design & Implement Data Flows Modeler Technically implement and model HANA Artifacts Administrate models Application LM Organize HANA Artifacts to Delivery Units for transports across systems (Versioning, Revisions) SAP BW Data Warehouse application with complete stack for modelling, ETL and life cycling Data Warehousing Foundation Data Distribution Optimizer for efficient administration of large environments Data Life Cycle Manager for data temperature /aging management 10

10 Current Portfolio Assessment SAP Agile Data Preparation / Information Steward SAP Power Designer Modeler SAP BW extended application Server EIM Services SAP Application Lifecycle Management Data Warehousing Foundation All tools of portfolio are available and used today, further components will be developed. Custom Data Warehouses / Data Marts with these tools exists. Tools are independent from each other with a lack of integration for end-to-end DW deployment and operations. Addressable market potential not used with offering. 11

11 Direction of Development Establish data warehousing as the leading data warehousing platform for the Cloud shape & provide advanced DW services for the cloud transition all Data offer a broad data management platform for analytics across all data types and volumes one Truth provide semantic harmonization for physical & virtual data access strategies and distributed processing for any source 12

12 Planning and definition 2016 DW Strategy Execution and delivery Vision Analytics (SAP BI Suite, Predictive, Planning) Analytics (SAP BI Suite, Predictive, Planning) Analytics (SAP BI Suite, Predictive, Planning) SAP Power Designer DW SAP DW Foundation EIM Plattform SAP BW SAP Power Designer DW Plattform Vora SAP BW DW Modeling DW SAP DW Vora Foundation EIM Plattform DW ETL & DM Vora Market presence in data warehousing with a clear roadmap Strong and simplified offering with tight integration Convergence into one technology stack addressing BW and SQL-based DW needs 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. 13

13 DW Future-Proof Data Management Platform for Analytics Serve standard SQL-based and BW-style data warehousing in order to meet future demands LDW for dynamically changing system landscapes Cloud and hybrid deployment Integration of any data types and Big Data technologies Scale out to high volumes and data lakes go beyond other DW offerings Top out-of-the-box integration to SAP solutions on-premise and in cloud environments Real-time processing power of HANA Hadoop integration with Vora HANA-based analytic business services HANA-optimized re-usable business content 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. 14

14 Agenda Introduction SAP DW Strategy Components & Roadmap 15

15 Components of data warehouse data warehouse SAP Agile Data Preparation SAP Power Designer Modeler SAP BW extended application Server EIM Services Application Lifecycle Management Data Warehousing Foundation Platform 16

16 Development Focus - Principles All tools continue to exists & evolve within their respective domain COLLABORATE Enable tools to collaborate e.g. shared repositories across tools INTEGRATE Gradually work on tool's overlaps e.g. SAP BW and EIM EMBRACE Modern DW environments e.g. Big Data, Hadoop, Vora 17

17 Development Focus 2016 Modeling & Metadata Integrated top-down modeling of DW artefacts with SAP Power Designer Consistent release management and impact analysis across DW models Consolidation of BW modeling objects optimized for Data Management & Processing Unified data processing across databases and data lakes High performance business services, e.g. for inventory handling, planning and resource allocation Data Access Services EIM becomes the central data integration component of the DW Flexible adapters for logical data warehousing covering SAP, third party and Big Data sources End-to-End Operations Uniform scheduling and monitoring services for DW data flows Advanced data distribution services for scale out and dynamic tiering Comprehensive life cycle services for HANA DW components 18

18 SAP Agile Data Preparation Outlook data warehouse SAP Power Designer Web Modeling SAP Web IDE SAP BW XS advanced GIT HUB HDI Runtimes EIM Services Application Lifecycle Management Data Warehousing Foundation Platform 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. 19

19 Modeling & Metadata Integrated web modelling with SAP Power Designer and SAP Web IDE - Generation of artefacts (HANA CalcViews) - Business and process modeling for SAP BW and HANA artefacts - Design time creation of CDS entities definition files Consistent management of DW models in - GIT & HDI as common content management for HANA DW components - Consistent release and versions management for packages via GIT - Design and runtime impact analysis on dependencies across HANA models Consolidation of BW models for HANA-optimized data warehousing - Two central InfoProviders only: ADSO and CompositeProvider (e.g. seman. Gr.) - New and simplified Business Content for BW on HANA - SAP BW edition for HANA - only using HANA-optimized modeling objects Planned for 2016 Integrated top-down modeling of DW artefacts with SAP Power Designer Consistent release management and impact analysis across DW models Consolidation of BW modeling objects optimized for Data Management & Processing Data Access Services End-to-End Operations 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. 20

20 Modeling & Metadata Data Management & Processing Data Access Services EIM becomes the central component for data integration - Logical DW with adapters for physical and virtual data integration - Flexible switching between data access methods - Support of extractors and S/4HANA via RFC adapter - Access to Big Data sources (e.g. Hadoop and NoSQL DB) - Integration of real-time data streams (e.g. integration in BW) - Data lineage and impact analysis for data sources - Extended data quality and transformation possibilities with integration in BW (e.g. geocoding, best record) - Seamless connectivity to cloud sources via adapter (e.g. SFSF) - EIM flowgraphs supporting HANA CDS definitions End-to-End Operations Planned for 2016 EIM becomes the central data integration component of the DW Flexible adapters for logical data warehousing covering SAP, third party and Big Data sources 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. 21

21 Planned for 2016 Unified data processing across databases and data lakes High performance business services, e.g. for inventory handling, planning and resource allocation Modeling & Metadata Data Management & Processing Unified data processing across data tiers and sources - Multi-tiering between HANA, DynamicTiering and Hadoop via DLM - Hadoop as NLS for SAP BW, possibility to access via Vora - Integration with Vora to enable analyses for Hadoop data - Data provenance across DW data tiers Continuous extension of high performance HANA business services - Further push-down of BW business functionality (e.g. formula excep. aggr.) - Advanced services for inventory handling and planning processes - Additional algorithms for PAL, e.g. for sequential pattern mining Data Access Services End-to-End Operations 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. 22

22 Modeling & Metadata Data Management & Processing Data Access Services Planned for 2016 Uniform scheduling and monitoring services for DW data flows Advanced data distribution services for scale out and dynamic tiering Comprehensive life cycle services for HANA DW components End-to-End Operations Uniform scheduling and monitoring services for data flows - Common HANA scheduling framework for EIM, BW Process Chains and third party data integration tools - Monitoring services for EIM-based data access processes Advanced data distribution services for scale out and dynamic tiering - Optimization of data distribution for HANA scale-out landscapes (e.g. join-path analysis) - Set-up of automated data placement for dynamic tiering Life cycle management and administration - Life cycle services for HANA DW components, e.g. for branching, packaging and transport (e.g. GIT integration) - Web-based administration and monitoring tools for BW 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. 23

23 DW Summary SAP BI, Predictive, Planning HANA DW BW centric SQL centric Mixed Scenario DW as flexible and modern data warehouse framework 1. SQL centric approach is a valid and positioned scenario for data warehousing with tooling for implementation 2. SAP BW will further be developed and integrated with HANA DW components 3. Independent from starting point HANA DW components can be added and used in a mixed architecture at a later point in time SLT, DataServices, EIM, SRS, Extractor 24

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