ABAP Development for SAP HANA

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This thesis would never have been completed successfully without the help of following people. First and foremost, I would like to thank my adviser Dr. Steffen Göbel, for his patient guidance during selecting of research topic as well as generous contribution of knowledge and valuable comments during the writing of the thesis. I would also like to thank a second adviser Prof. Gunter Saake, who always promptly answered on all questions and helped with administration issues during the work. I would like to give a special thank to M.Sc. David Broneske for his valuable remarks and suggestions during the work. Furthermore, I must also express gratitude to my family, who continuously supported

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it will guide you through the basics and advanced how to of the software

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Three main layers of SAP-HANA shows data mining approach and the communication approach with the outside environment. These three layers are appliance layer, database layer and user connectivity layer. Data mining approach is applied between appliance and database layer [1]. And same approach is applied for the third layer also. SAP-HANA modules works with data mining approaches to access and transfer data [6]. In this paper data mining approach is improved by adding mediator concept to manage database access. This mediator approach will improve the performance level while processing communication between appliance and database layer of the SAP-HANA architecture in the respective module.

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Trustworthy analytics requires transparency into underlying data sources. This research demonstrates the importance of comprehensive data cataloging and lineage capabilities for enabling analytics excellence in SAP HANA environments. A program was developed leveraging SAP HANA's native system metadata tables to construct a detailed data model tracing relationships and dependencies. This model provides the foundation for a BI dashboard presenting graphical data lineage trees to enhance transparency. Dashboard development is presented highlighting how robust cataloging and lineage allows organizations to validate data sources, prevent improper use, and inspire confidence in analytical outputs. Results indicate that SAP HANA's metadata can be utilized to build powerful custom catalog and lineage solutions tailored to an organization's specific needs. The research concludes that taking advantage of these metadata capabilities is critical for SAP HANA customers seeking to maximize analytical integrity, quality, and business value. This paper provides guidance for implementing robust catalog and lineage while avoiding common pitfalls.

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