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AI-generated Abstract
The paper discusses the various methods to create procedures in SAP HANA, outlining the steps to utilize the SQL editor, Modeler wizard, and SAP HANA XS project. It emphasizes the prerequisites needed for creating a procedure and the significance of understanding SQL procedures, including the ability to define input and output parameters, the syntax involved, and the differences between read-only and read-write procedures.
2014
This excerpt from Chapter 4 provides a quick glimpse of database views and the view modeler in SAP HANA Studio. This chapter kicks off your introduction to ABAP programming in SAP HANA. You'll also walk along with a helpful example from the SFLIGHT data model that will help you apply theory to reality.
2015
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
The traditional database systems drawback from the feature of greater access time as the data is to be read from the disk due to limited memory structures. Also, the transactional and analytical data could not be used together on the same database management system. With the introduction of the in memory computing technology, the data can be stored on memory through compression techniques and can be accessed directly from the memory without any intervention of the disk. This concept is the core of SAP HANA Database, which is a component of the overall SAP HANA Appliance. Also, the SAP HANA Database supports both the transactional and analytical processing as it gives the representation of data both row-wise and column-wise.
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.
2012
Recently, the needs of data processing into information have a very important role, especially in the highly competitive corporate world. Here, the role of technology is required to produce information that is fast, safe, and appropriate in assisting the company process while making decision. As the development of OLAP technology in Indonesia, the study took place at PT. Sinar Niaga Sejahtera in Ambarawa, Indonesia. It will be constructed with the Data Warehouse using a Star Schema and OLAP technology based on Website to complete the company's needs about the summary of the information which was generated to analyze the company's sales results. The processing data into information which is emphasized in this paper is to describe in details about the data processing that will help in the learning and develop an application to build a better OLAP system.
Integrated Intelligent Research, 2012
Sales management is an important aspect of all Business analytics outfits. However, in today's digital world we need to find on-the-go solutions. We can find these by targeting the mobile Apps. We find that there are numerous mobile solutions offered by android Apps in the market. They are so popular because of compatibility on various mobile platforms. But a major problem faced by many outfits today is their compatibility with backend systems in use, namely the ERPs like SAP. In this paper we aim to solve this problem. We also portray a successful use of the upcoming SAP Fiori technology which works on multiple mobile platforms. Another major issue is business analytics on such mobile platforms. Using SAP ERP and the latest HANA databases, we can perform robust data mining algorithms on vast amounts of data. Infact, some data-mining essential algorithms are already a part of such systems in the form of libraries. However, these databases are expensive and are unsuitable for small outfits using SAP services. Today, there exists virtually no library for data-mining on mobile devices without a Hana database. In our experiments we aim to solve this issue. We have created a market basket-analysis system to be deployed as a mobile App on SAP Fiori from scratch without a Hana database. We implemented an Apriori algorithm, to generate rules. We found that such a system can be developed with said requirements and has very low operational delay
IAEME PUBLICATION, 2019
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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