SAP HANA Native Application Development

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SAP HANA Cloud Platform for Native SAP HANA Development SAP HANA Cloud Platform is enabled to use advanced features of SAP´s in-memory technology Step by Step how to create your first SAP HANA native application on an on premise SAP HANA Platform by purely using the zero-install

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SAP HANA – Native Application Development

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The purpose of this article is to provide adequate instruction to implement any complex SAP HANA data model. Users will learn various building blocks that are required to implement any SAP HANA data model. SAP HANA data model is not just creating an attribute view, analytical view and calculation view, and also it is not a technical implementation, it is an “Art”. SAP HANA data model is the foundation for any SAP HANA enabled business transformation initiatives. SAP HANA data model and data architecture should be driven from business process and the model should fully leverage SAP HANA’s in memory computing power and also the build in out of the box SAP HANA functionality such as stored procedures, functions, database triggers, hierarchies, calculated measures, restricted measures, calculated attributes, dynamic currency conversions, input parameters, and much more. Consider all of these key capabilities of SAP HANA while transforming business problems into a SAP HANA enabled solutions. In this document we are explaining the objective of each data model building block, and also its implementation steps. Users should be able to follow this guide and implement any SAP HANA data model. SAP HANA enabled EPM and BI solutions  SAP BPC integrated financial planning with the power of in-memory computing  Predictive analytics  Financial predictive  Healthcare predictive  Advanced analytics  Smart Grid  etc 1.1. SAP HANA Data Model Key Building Blocks  Attribute view  Analytical view  Calculation view through scripts  Stored procedure  Functions  Database triggers  Variables  Input parameters  Hierarchy  Decision tables  Dynamic currency conversion  Data Import

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Objective: This is my first attempt to bring practical business insights on SAP’s Cloud for Analytics (C4A) platform and also demonstrating the key implementation steps to deploy analytics on cloud from concept to realization. Goal: Empower mainstream enterprise users to develop self-servicing analytics, planning, budgeting & forecasting solutions on cloud using SAP BusinessObjects Cloud Computing Platform. Vision: Make business to quickly realize the measurable business values of SAP BusinessObjects Cloud Simplify SAP BusinessObjects Cloud Implementation Reduce the Implementation Cost of SAP BusinessObjects Cloud Implementation Make SAP BusinessObjects Cloud Implementation Processes as a Repeatable Processes What would be the Best and Risk Free Path to Implement and Adopt Analytics on Cloud? Cloud for Analytics is an evolving area, so the first step in implementing cloud for analytics would be learning the fundamentals and understanding the key concepts, framework, architecture and building blocks of cloud for analytics solution. The following section describes the required key steps to implement and adopt SAP's cloud for analytics solutions. 1. Molder2. Allocation3. Stories4. Digital Boardroom 5. Files6. Events7. Users8. Deployment9. Connection10. System

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Objective  Act as a framework for an “End-to-End” Implementation Financial Planning/Budgeting Review and Approval Process in SAP BPC NW 7.5  Analysis • Analyze business needs to automate the Planning/Budgeting Review and Approval Process • Analyze user participation in a Planning/Budgeting Review and Approval Process • Analyze different state of Planning/Budgeting Review and Approval Process  Demonstrate the transformation of a Planning/Budgeting Review and Approval Process into a SAP BPC system model  Present business solutions architecture and implementation to a Planning/Budgeting Review and Approval Process in SAP BPC NW 7.5  Identify building blocks to develop an “end-to-end” Planning/Budgeting Review and Approval Process in SAP BPC NW 7.5  Discuss SAP BPC NW7.5 Key functions a. Mapping between Approval Process to BPC work state b. Define owner and manager c. Security setting d. Data production e. Assign work state to a data region f. Report generation g. Integrate SAP BPF ( Businesses Process Flow) and Work Status

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To understand the essentials of financial statements, including  Balance Sheet  Income Statement  Cash Flow  To understand the data sources of a given finical statement in a SAP system environment  To understand the structure and layout of a finical statements  To understand the structure calculations and formulas that are used while generating a finical statement Goals  Analyze , Design and Implement Dimensions and Measures ( KPI) for a finical statement  Dimension modeling  KPI modeling  Analyze, Design and Implement Data Model for a finical statement  Classic Star Schema  SAP BW Extended Star Schema  Analyze, Design and Implement Layout and Mockup, Calculations for a finical statement

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SAP HANA Native Application Development