Column Store Sales Data Types of questions asked Row Store Shipping Terms Payment Terms City Country 1000 Rocky Mountain Bikes FOB Net 30 Denver US 2000 Big Apple Bikes 2/10 Net 30 NY City 5000 Beantown Bikes Boston 13000 Airport Bikes CIF 3/10 Net 30 Frankfurt DE 14000 Alster Cycling Hamburg 15000 Bavaria Bikes Munchen 1000 Rocky Mountain Bikes FOB Net 30 Denver US 2000 Big Apple Bikes FOB 2/10 Net 30 NY City US 5000 Beantown Bikes FOB Net 30 Boston US 13000 Airport Bikes CIF 3/10 Net 30 Frankfurt DE 14000 Alster Cycling CIF Net 30 Hamburg DE 15000 Bavaria Bikes CIF Net 30 Munchen DEħ Row vs. Column Store Customer Master Customer Number Customer Name modules Greater integration Source: Introduction to SAP Business Suite 4 SAP HANAĤ HANA DB structure In memory Row and column store CompressionĪggregates and indices Compatibility viewsĥ Relational data structures Disk based Computer architecture (old)ĮRP S4 Disk Storage I/O Bottleneck SAP SE Relational data structures Normalized Disk based Computer architecture (old) Disk – Memory – CPU Single core CPU Expensive memory Non-normalized In-memory memory is relatively cheap Multi core Columnar storeĦ Row vs. New thinking: OLTP + OLAP in one Greater process focus vs. SAP S/4 HANA Business Partner SAP S/4HANA Fiori UX Hands-on with SAP S4/4 HANAģ SAP S/4 HANA Overview New database: in memory New UX: Fiori Download PPT and Exercises from:Ģ Outline Welcome and Overview SAP S/4 HANA Database SAP S/4 HANA FI CO Professor and Director Seidman ERP Program ( Seidman College of Business Grand Valley State University Presented at the SAP University Alliances North America Conference April 11 – 12, 2018 New York, NY Acknowledgment: Nichole Schlueter and Alec Nault, student interns in the Seidman ERP Program contributed to this presentation. 1 Business Processes Using SAP S/4 HANA and SAP ERP
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