The Impact of SAP S/4HANA on Exisiting Enterprise Architecture from SAP. Erich Schneider & Martin Mysyk SAP Session ID#5749

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1 The Impact of SAP S/4HANA on Exisiting Enterprise Architecture from SAP Erich Schneider & Martin Mysyk SAP Session ID#5749

2 BUSINESS, IT AND THE DIGITAL ECONOMY Hyper Connectivity Super Computing Smart Things (and smarter people) Cloud Computing CyberSecurity Business needs trump architectural purity every time Douglas Hackney Enterprise Architecture is the holy grail of IT the journey is the destination Erich Schneider Change is the only constant especially in the digital economy

3 TRADITIONAL ERP SYSTEM ARCHITECTURE

4 SIMPLIFIED INFORMATION PROVISIONING WITH S/4HANA FOR DATA WAREHOUSING Traditional Business Application Design S/4HANA Business Application Design HANA EDW SAP BW Design Studio HANA Data Warehouse Foundation SAP VORA

5 Traditional RMS Architecture + Big Data is EVEN MORE COMPLEX

6 POLYGLOT PERSISTENCY Relational databases are the backbone of applications, but modern applications are demanding new data and consistency models that provide abstractions on every level while supporting high scalability. It is only by combining s, both relational and NoSQL, into a single platform, that complexity is reduced while flexibility is increased. By definition, polyglot persistency requires a platform to encompass both existing database (OLTP, OLAP) and emerging (Graph, Text, Predictive) technologies with the added requirement of real-time performance. To achieve this, a multi-engine query processing environment is required that supports SQL-based access, unstructured or text, and graph. To facilitate the use of this multi-engine while providing hyper performance, the database platform must leverage the advances in large amounts of main memory, multi-core CPUs, and storage. Further distinguishing this platform from classical relational databases of the past is the ability to provide a deep understanding of the business objects used in the application layer itself. Facilitating the exploration of polyglot persistency in practice, we will discuss the combination of OLTP, OLAP, and Graph within a single platform. As a framework for the discussion, SAP HANA will be used as a reference architecture. The discussion will include design methodology and principles, abstraction layers, functional libraries, and APIs used to develop modern applications. Additionally, the benefits of combining these different database types within a single platform will be introduced including practical use-cases, reduction in complexity, rethinking storage, the influence of cloud computing, and the impact on the Internet of Things.

7 LAMBDA WITH SAP HANA PLATFORM As the leading in-memory database platform, HANA meets the needs of the serving component of Lambda rather well. The data can be stored once, then transformed, aggregated, and calculated dynamically. Easy to understand in-memory compute engines such as graph, spatial, OLAP, and predictive analytics are available to manipulate the data where it is stored. Because the immutable data is kept in an append only columnar SQL database and the serving is done on the fly, our customer s experience a valuable and unique combination of expressive, declarative programming capability on data which is managed in a SQL framework. This allows data access via everyday BI tools via standard OC or JC SQL as well as OO MDX. Based on Node.js, the HANA app server XS Advanced provides amongst other things nosql access to the data via restful ODATA.

8 Enterprise Architecture Infra Structure Provisioning System Admin - Basis Batch Scheduling Enterprise Architecture Infra Structure Provisioning System Admin - Basis SAP HANA AS SINGLE PLATFORM FOR S4HANA OLTP + OLAP-> simplified IT stack + IT operation + footprint reduction Development BI Tools Spatial Engine SQL JSON ADO.NET J/OC OData HTML5 MDX XML/A Development Search Engine Text Mining Predictive Engine Planning Engine OLTP database OLAP database Graph database BI Tools SAP HANA Application Services SAP HANA Database Services SAP HANA Integration Services ETL / ELT / DQ Streaming Event Processing SAP HANA Storage Footprint Traditional Storage Footprint

9 SIMPLIFIED INFORMATION PROVISIONING WITH S/4HANA FOR DATA WAREHOUSING AND BIG DATA AND IOT Sensor reading Sensor reading off-line SQLA on-line Operational Technology On-Line Analytics Real-Time Business Process SAP ESP Engine Analyze on the fly In-memory SAP HANA Off-Line Analytics HANA EDW SAP BW Design Studio HANA Data Warehouse Services Data Tiering SAP VORA

10 BUSINESS TELEMETRY IN REAL-TIME AND OPTIMIZE PERFORMANCE TO WIN Monitoring your Race Car in real-time Monitoring Running your Business in real-time

11 SUMMARY S/4 HANA presents new options for your architectures Be aware of new innovations Move your EA thinking forward

12 FOLLOW US Thank you for your time Follow us on

13 CONNECT CORE BUSINESS WITH PEOPLE AND THINGS VIA A UNIFIED PLATFORM CEC Business Network IoT Applications Applications IoT Platform Extensions Icon (Micro-) Services Suite S/4HANA HANA Cloud Platform Identity Management HANA VORA C4A BOBJ Analytics Platform any Hadoop

14 LOGICAL DATA WAREHOUSE SCENARIO ANALYTICS VISUALIZATION TOOLS ERP BW Sensors HANA ERP Data LEGEND Virtual Data Model Data Movement HANA NLS Virtual Data Model BW Data Non-SAP Data Smart Data Access Vora DATA ACQUISITION TOOLS Apps and 3 rd Party Data Sources s App/ Connectivity Aged Data Data Lake Data Access

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