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Level 7 Diploma(FREE QLS Endorsed Certificate)| 11 CPD Courses+11 PDF Certificates| 140 CPD Points|CPD & CiQ Accredited
Level 3 Diploma (FREE QLS Endorsed Certificate)| 11 CPD Courses+11 PDF Certificate| 150 CPD Points| CPD & CiQ Accredited
Level 5 Diploma(FREE QLS Endorsed Certificate)| 11 CPD Courses+11 PDF Certificates| 140 CPD Points|CPD & CiQ Accredited
Level 5 Diploma(FREE QLS Endorsed Certificate)| 11 CPD Courses+11 PDF Certificates| 140 CPD Points|CPD & CiQ Accredited
Level 3 Diploma(FREE QLS Endorsed Certificate)| 11 CPD Courses+11 PDF Certificates| 140 CPD Points|CPD & CiQ Accredited
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Duration 3 Days 18 CPD hours This course is intended for Application ConsultantBusiness AnalystBusiness Process ArchitectBusiness Process Owner / Team Lead / Power UserExecutiveIndustry SpecialistProgram/Project Manager Overview This course will prepare you to:Describe the motivation for S/4HANA Enterprise ManagementExecute innovative logistics processes in the areas of logistics planning and execution in S/4HANA, especially in manufacturing, procurement, and salesLearn about the simplification listOutline the SAP User Experience strategyUse SAP Fiori among other user interfaces to execute logistics processesOutline different migration strategies Students will learn to execute innovative logistics processes in the areas of logistics planning and execution in S/4HANA, especially in manufacturing, procurement, and sales. Motivation and Functional Overview of SAP S4/HANA (Materials Management and Operations)Simplification ListSAP User Experience, especially SAP FioriInnovative Logistics Processes in the Areas of Logistics Planning and Execution in S/4HANA, especially in Manufacturing, including MRP Life and Production Planning / Detailed Scheduling (PP/DS) Procurement, Sales, including Back Order Processing, and Extended Warehouse Management (EWM) Migration Scenarios
The course helps you learn Snowflake from scratch and explore a few of its important features. You will build automated pipelines with Snowflake and use the AWS cloud with Snowflake as a data warehouse. You will also explore Snowpark to be worked on the data pipelines.