Sap hana advanced data modeling pdf free download
Data Modeling For Sap Hana 2 0,Item Preview
WebThe Advanced Data Modeling Guide for SAP HANA is a comprehensive guide to how to build complex data models using the SAP HANA Development Studio. Written by the WebSAP HANA Advanced Data Modeling Links Download this book Free Download Link1 Download Link 2 No active download links here? Please check the description for WebFeb 3, · SAP HANA Information Modeling which also known as SAP HANA Data Modeling is the heart of HANA application development. In the context of SAP HANA, WebDownload Data Modeling for SAP HANA 2 0 Book in PDF, Epub and Kindle Find meaning in your business data. Build, manage, and secure calculation views and table WebDownload SAP HANA Cookbook Book in PDF, Epub and Kindle An easy-to-understand guide, covering topics using practical scenarios and live examples, and answering all ... read more
Espresso Tutorials makes no warranties or representations with respects to the content hereof and specifically disclaims any implied warranties of merchantabil- ity or fitness for any particular purpose. Espresso Tutorials assumes no responsi- bility for any errors that may appear in this publication. Feedback We greatly appreciate any kind of feedback you have concerning this book. Please mail us at info espresso-tutorials. Table of Contents Preface 5 1 Introduction 9 1. Our aim is to provide clear modeling recommendations for setting up data models, optimizing performance, using the SAP HANA modeler and development perspec- tive, as well as efficiently solving complex requirements in SAP HANA. The target audience of this book is SAP HANA developers and architects acquainted with the methods and options for implementing logic in SAP HANA.
The reader should possess a solid understanding of general SAP HANA objects. In our world, technologies evolve at an extraordinary pace and new mar- ket opportunities develop just as quickly. Companies face the challenge of adapting to unfamiliar technologies and markets with different rules and key players. While businesses adapt, IT departments face similar struggles with constantly changing business requirements and new tech- nologies. In these hectic times, it is essential to have a good reporting foundation available to keep track of existing and also new business. SAP is one of the big players in business software and is currently devel- oping new products and promoting new product suites at a speed previ- ously unknown to most customers. A central element to all of these prod- ucts is SAP HANA. Most IT departments have seen SAP HANA in sales presentations, or even implemented the software in a proof of concept PoC.
However, few companies truly consider SAP HANA an alternative to existing databases or data warehouses. In this book, we go one step further and take a closer look at how to build reporting views in an SAP HANA native environment. We not only take a close look at SAP HANA design elements and patterns, but also evaluate these patterns and provide recommendations and best practices for modeling in SAP HANA. The evaluation is based on critical factors such as performance and storage consumption, as well as on ease of use. In the course of the chapters, we examine possible implementation ele- ments or variants in the different types of information views and their impact on the evaluation factors.
The evaluation is performed using test scenarios and is based on our practical experience and results in rec- ommendations and best practices. Finally, the book discusses new challenges in integrating opera- tional reporting into the operational system while avoiding redundancy. We hope you enjoy reading this book and collecting insights into SAP HANA native. Their numerous ideas, hints, and discussions helped us to greatly enrich each chapter. We are truly grateful to them. We especially want to mention our employ- er Capgemini Deutschland GmbH, including Kai-Oliver Schaefer and Thomas Schroeder, who inspired us to go ahead with this book project. Last but not least, we want to say thank you to the Espresso Tutorials team, especially to Alice Adams, who patiently advised us in formalizing and completing the book. We have added a few icons to highlight important information. Attention Attention notices draw attention to information that you should be aware of when you go through the examples from this book on your own.
Ö Link codes For long hyperlinks we include a consecutive number Ö1 link code with the link. espresso- tutorials. com to find a dynamic list of links that you can click on to easily access information. Finally, a note concerning the copyright: all screenshots printed in this book are the copyright of SAP SE. All rights are reserved by SAP SE. Copyright pertains to all SAP images in this publication. For simplifica- tion, we will not mention this specifically underneath every screenshot. Furthermore, we explain the overall scope of the book and provide a brief introduction to its content.
We conclude the chapter by defining frequently used terms. The evolution of new technologies constantly challenges IT management to balance the need for innovation with the demand for consistent and accurately working system processes. One of these new technologies enabled by the decreasing cost of main memory is the in- memory database. In-memory databases not only result in performance improvements for reporting, but also impact the holistic BI strategy. Intro- ducing in-memory databases to the IT landscape offers completely new possibilities to IT and end users and requires a rethinking of existing principles and processes. A further aspect to be taken into consideration for the business is that getting the right information at the right time to the right decision makers becomes increasingly important. Today especially, decisions have to be made in near real time and based on a massive amount of data. SAP is positioning its in-memory database product SAP HANA to fulfill the requirement of real-time reporting and enable new business opportunities.
This product represents the foundation for many SAP products and the basis for high-performing data processing and reporting. SAP HANA delivers a wide range of inherent functionalities that enable it to be leveraged for reporting, making it far superior to the average data- base. The approach of developing reporting based on the HANA data- base directly is called SAP HANA native development. Furthermore, SAP is continuously improving SAP HANA and with each release new features are distributed to the customers.
This in turn results in a large and growing number of possible ways to implement a reporting solution based on SAP HANA native. The goal is to provide clear modeling recommendations for setting up data models, optimizing performance, using the SAP HANA modeler and development perspectives, as well as solving complex requirements efficiently in SAP HANA. These recommendations are divided into five areas: 1. Virtualization versus persistency see Chapter 3 2. Evaluation of HANA design elements by performance and memory consumption see Chapters 3 and 4 3. Advanced modeling techniques see Chapter 5 4. Best practice recommendations see Chapter 6 5.
The outcome of the evaluation regarding the second area 2 is a list of design options and their impact on the noted evaluation factors. The third area 3 reviews common chal- lenges during implementations and how to solve these challenges in SAP HANA. Recommendation area four 4 results from the second area 2 and field experience, whereas the final area 5 comprises operational reporting as well as experience from projects. For the purposes of this book, decision tables, analytic privileges, hard- ware-related performance tuning, and the consumption of views by dif- ferent client tools e.
Fur- thermore, this book does not explain basic concepts of views or tables in SAP HANA, as an understanding of these concepts is a prerequisite for reading this publication. After the introduction to the case study which is referenced in all of the chapters , you will be acquainted with the major considerations for start- ing your development in SAP HANA in the chapter on the technical foun- dation see Chapter 3. Furthermore, we discuss several architectural options that can be applied to the case study. We verify these using test cases which identify the SAP HANA design patterns with the best bal- ance between performance, memory consumption, and maintainability. We walk you through advanced modeling techniques for implementing this architecture and for solving further common business problems. Chapter 6 then covers best practices gathered throughout the previous chapters.
The final chapter discusses operational reporting in terms of in- memory databases. The book closes with a conclusion and a review of topics for further investigation. Figure 1. Chapter 2: The SAP case study presents the reader with a business case and the hardware setup used for the implementation of this busi- ness case. Business entities and their correlations are highlighted. To prepare the basis for our test cases, this chapter presents the SAP HANA solution, including the size of the data model and consequently the avail- able hardware. It also discusses a common test approach. Chapter 3: Create the data model looks at data persistency versus virtualization and uses these considerations to create physical tables. This chapter also presents first test scenarios to the reader. These test scenarios evaluate the impact of various physical architectural elements on performance and space consumption.
Chapter 4: High-performing information views are structured using the different information views provided in SAP HANA Studio. We thereby create a set of guidelines and recommendations for various features of SAP HANA Studio, as well as for the general use of different view types. Chapter 5: Advanced modeling techniques provides detailed insights into the aggregation behavior in SAP HANA which is ultimately the basis for solving difficult calculation problems in SAP HANA. The chapter then focuses on the SAP HANA development perspective, including Core Data Services CDS , and the use of this perspective for data modeling.
Furthermore, this chapter examines common problems within daily work along with solutions to these problems. The chapter concludes by looking at and explaining the topics of parallel development and agility aspects. Chapter 6: Best practice recommendations leverages the insights gained from the previous chapters, multiple test scenarios, and real im- plementation experience to provide best practice recommendations. Chapter 7: Operational reporting with SAP HANA describes the spe- cial requirements resulting from an SAP Business Suite on HANA imple- mentation, focusing on SAP HANA Live as well as reporting. The chapter also examines the new possibilities arising from SAP HANA as an opera- tional database. Within this chapter, we address how the goals of the book have been achieved. This chapter also gives you an overview of some ideas for further topics that may be interesting to follow up on.
In general, we will follow the concepts of the conceptual, logical, and physical data model and clarify the meaning of HANA information views. In the world of SAP HANA native, the concepts of the three differ- ent types of data modeling are still applicable. The conceptual data mod- el describes the highest level of relationships between different entities, which means that this type of model shows only business terms and how they are connected. No key relationships are shown. The logical data model already depicts tables and their reciprocal relation- ships. The physical data model reflects the way the data model will be implemented in the database. This includes all table structures and their characteristics, such as column names, data types, key fields, and the table relations. In our case, we introduce an additional split at this level: we add the concepts of virtual and persistent. The persistent data model comprises everything storing data in a physical way, such as a table.
In contrast, the virtual data model does not store the data physically but instead supplies it only virtually when queried, e. The third chapter of this book contains a deep dive discussion on the topic of virtualization versus persistency. Information views are the central components of the solution you develop in your SAP HANA environment. There are three different types of infor- mation views in SAP HANA: Figure 1. For example, in the view you simply define how a calculation has to be performed; the result of the actual calculation is not yet stored physically within the data. This means that everything is virtualized and all aggregations and calculations are performed on the fly when the view is executed. We describe the as-is situation, including known issues with the current business warehouse, develop an enti- ty relationship model, and propose a system landscape. This analy- sis will serve as the basis for the planned solution. The chapter con- cludes with a high-level view of our test approach.
The need for real-time reporting in areas such as logistics, planning processes, market basket analyses, and next best action recommendations emphasizes the numerous use cases. These examples underscore the demand for a wide range of reporting solutions. Given the reporting requirements, clients are likely to invest in these types of technologies. Furthermore, many research facilities regularly analyze reporting needs and user experience. Gartner, Inc. The corresponding analysis can be found in the article Fast-Fashion Retailer Boosts Sales With Real- Time Big Data Analysis by Alicia Fiorletta in Retail TouchPoints.
Using different visualization types, such as dashboards to report relevant KPIs etc. Best practice emphasizes the importance of real-time reporting for the effective management of companies, as well as for their daily business. Above all, it shows that there is a vast market for real-time data analysis that can be used for different industries and approaches. Since SAP announced its new SAP HANA technology, these topics have received higher visibility within companies already using SAP, as well as those considering implementing SAP in their IT environment.
However, whether or not a company should commit to SAP HANA, particularly an SAP HANA native implementation, is a question that is occupying many decision makers. SAP Societas Europaea SE dedicated itself to this question in a con- certed effort with its customers and analyzed their motivations for choos- ing an SAP HANA native solution. They identified the following key as- pects see Figure 2. Speed is one of the main arguments for an SAP HANA native implemen- tation. This was outlined by Mr. The speed SAP HANA enables is sudden and significant, and has the potential to transform entire business models. In other words, it enables various heterogeneous data sources to be connected. One of the main benefits of this solution is insight, enabling faster response times and conse- quently, better planning and predictions. Finally, simplicity implies the ability to quickly and easily create data flows as long as complex logic is not required.
Other aspects such as costs and utilization have to be con- sidered, as well as the return on investment ROI. SAP clients keep asking questions such as why should I use SAP HANA native and not some other in-memory solution? Their customer analytics department is tasked with focusing on customer be- havior. Their analysis looks at a variety of questions, such as the average purchase price per city, repeat customer profiles, and products that sell well. They want to sustain a solid market share growth and therefore, the business department intends to imple- ment a real-time reporting solution. The IT department is often in conflict with the business department re- garding the required reporting processes. The business department in- tends to analyze the buying patterns of consumers, as brands often in- vest in marketing campaigns such as discounts and bonus programs in order to incentivize customers to buy their products.
However, the most valuable clients are not the one-time purchasers but those buying the brand more frequently. This is actually the most challenging target. For that reason, the business department wants to improve the quality of their analysis in order to increase their performance. The IT Director decides to set up a new project to implement SAP HANA native in order to provide the business department with the foundation for real-time reporting. Therefore, the IT Director introduces a simple process grouped into the three clusters noted in Figure 2. Figure 2. Of course, the IT Director has to convince each stakeholder that he or she is a part of the project and supports the overall vision. Based on an employee survey and data analysis, the as-is situation is evaluated and the requirements are defined.
The final future scenario is described in an entity relationship model ERM which is considered the foundation for the SAP HANA native solution. The aim of this project is to replace the existing SAP business warehouse BW with the SAP HANA native solution. We will cover the solution in more detail when we discuss the future scenario. This data model will be recon- structed and adapted to a solution based on SAP HANA native. The customer analytics will be provided in the SAP HANA Cloud and the new system landscape will be built from scratch. The selected approach should be stable for the next couple of years. To obtain the buy-in of all employees involved, the IT Director demonstrates the strengths of the solution using an SAP HANA native prototype developed within Cloud Services by an IT consulting company. As all stakeholders agree to this solution and the project scope has been defined accordingly, the project can now start.
In the next section, we will take a closer look at the as-is situation. This includes the reporting environment as well as the data itself which serves as the basis for reporting. During the implementation, many developers worked on en- hancements and made adjustments to the data model. As a result, com- plexity and inconsistency increased dramatically. The Business Ware- house is characterized by various unused objects, complex transfor- mations, and missing documentation. To understand the weaknesses of the existing solution, the IT Director conducted an employee opinion survey. The results identified six key issues see Figure 2. Generally, the data is delivered automatically to a NetWeaver Application Server in a comma separated values.
csv file format via a software solution. Therefore, maintenance involves lengthy processing times, time-consuming testing, and requires in-depth knowledge of the data model and the business. Thus, maintenance costs are very high. Hence, no real-time reporting is possible and even standard reporting is difficult as response times are mostly above one minute. Furthermore, drilling down to a more detailed level is almost impossible. f Low report performance and user acceptance: Due to the large volume of data being stored in the system and the complex analyses required, reporting performance is poor. The query ex- ecution times generated through the reporting tool were checked and compared to the overall execution time to ensure that the is- sue was not with the reporting tool. SAP HANA Advanced Data Modeling Ankisettipalli, Anil Babu;Chen, Hansen;Wankawala, Pranav download Z-Library.
Download books for free. Find books. SAP SE or an SAP affiliate company. All rights reserved. Combines Fact-Tables with. Great flexibility for advanced use. Attribute-Views to Star-Schema-. In this example, the Book logical table is made of three, joined physical tables Book, Award, Info. Logical Layer, Physical Layer. Relationships canvas in the. Add Comment. Please, Sign In to add comment. Public Pastes. JavaScript 3 min ago 0. Python 15 min ago 0. Perl 19 min ago 1.
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From information views to AFL models, you'll learn to scale for large datasets and performance tune your models to perfection. Links are Interchangeable - No Password - Single Extraction. Free Download Link1 Download Link 2. Download links and password may be in the description section , read description carefully! Do a search to find mirrors if no download links or dead links. Links: Disclaimer: EBOOKEE is a search engine of ebooks on the Internet 4shared Mediafire Rapidshare and does not upload or store any files on its server.
SAP HANA Data Modeling Tools Overview,Useful Links
WebFeb 9, · Title: SAP HANA Advanced Modeling; Author: Stefan Hartmann & Dominique Alfermann; Release Date: January 19, ; Genre: WebData Modeling For Sap Hana 2 0 DOWNLOAD READ ONLINE Author: Anil Bavaraju language: en Publisher: SAP PRESS Release Date: Data Modeling For Sap WebIn this book, we go one step further and take a closer. With step-by-step instructions and sample coding, this book will teach you how to build and design predictive, simulation, WebDownload SAP HANA Cookbook Book in PDF, Epub and Kindle An easy-to-understand guide, covering topics using practical scenarios and live examples, and answering all WebApr 10, · Download/Read SAP Hana Advanced Data Modeling By Anil Babu Ankisettipalli Here => blogger.com?book= WebDownload Data Modeling for SAP HANA 2 0 Book in PDF, Epub and Kindle Find meaning in your business data. Build, manage, and secure calculation views and table ... read more
We walk you through advanced modeling techniques for implementing this architecture and for solving further common business problems. Each test will be performed based on the three steps noted in Figure 2. The user chooses a value or key date for which the re- quested data will be shown. Hence, no real-time reporting is possible and even standard reporting is difficult as response times are mostly above one minute. Archive-It Subscription Explore the Collections Learn More Build Collections. This document provides resources about the following processes: Describing how to determine the best option, including SAP Landscape aspects to back up, snapshot, and restore of SAP HANA MDC single and multi-tenant installations based on IBM Spectrum Computing Suite, Red Hat Linux Relax and Recover ReAR , and other products.
Explore key tasks like backend programming with SQLScript, security setup with roles and authorizations, data integration with the SAP HANA Data Management Suite,
sap hana advanced data modeling pdf free download, and more. There is generally no option available to regenerate historical data on
sap hana advanced data modeling pdf free download fly. The results are then depicted in a separate table. Espresso Tutorials makes no warranties or representations with respects to the content hereof and specifically disclaims any implied warranties of merchantabil- ity or fitness for any particular purpose. Chapter 3: Create the data model looks at data persistency versus virtualization and uses these considerations to create physical tables. To obtain the buy-in of all employees involved, the IT Director demonstrates the strengths of the solution using an SAP HANA native prototype developed within Cloud Services by an IT consulting company. Download Data Modeling with SAP BW 4HANA 2 0 Book in PDF, Epub and Kindle.
