SAP Analytics Cloud Performance Optimization GuideКНИГИ » ОС И БД
Название: SAP Analytics Cloud Performance Optimization Guide Автор: Erik Bertram, Carl Dannenhauer, Melanie Holzapfel, Sandra Loop Издательство: Rheinwerk Publishing/SAP Press Год: 2023 Страниц: 310 Язык: английский Формат: epub (true) Размер: 10.1 MB
Frustrated with slow performance in SAP Analytics Cloud? This guide is your answer! Learn the basics of solution performance and optimization and then start making your adjustments: get the story builder and analytics designer apps running smoothly, fine-tune your backend settings, and follow best practices for viewing dashboards. With detailed examples of performance improvements throughout, this book has everything you need for an optimal SAP Analytics Cloud experience!
Whether you are new to SAP Analytics Cloud or are already a skilled app designer or developer does not really matter because all groups might find different aspects that they might not have known before on how to optimize the dashboard performance. All these tips and tricks are also closely aligned with our in-house development organization, which means that you get hands-on information directly from the right source. Thus, what you can expect is a book that provides technical insights into performance optimizations while guiding you through building the correct dashboard step by step.
To provide a better overview of the possible ways to optimize dashboard performance, we have created ten golden rules of dashboard performance optimizations, which we introduce in Chapter 2. These rules provide a rough guide through the book, while we also summarize the most important aspects in a dedicated table. A performance equation will also be introduced in Chapter 2, highlighting the most relevant sources where time typically gets lost when users create a dashboard.
Talking about what you can expect from such a book means also talking about those things that you cannot expect from it. First, we’d like to point out a few limitations of the text. Although we did our best to try to bridge the gap between the frontend and backend parts, we note that this book was primarily written to optimize the SAP Analytics Cloud frontend. You will also find useful information about several backend aspects in the following text. But given the fact that we cannot control or dictate the backend companies will use, we needed to limit our backend considerations to a few examples, like the well-known SAP BW or SAP HANA backends. Hence, we recommend also looking out for more specific literature on the topic of backend optimizations, depending on which backend you are using.
Second, we also tried to measure performance before and after some of the implementations. Nevertheless, we remind you that performance measurements are usually quite biased toward different variables like the network traffic, server load, and other potential fluctuations that can cause performance numbers to vary a lot. Hence, you should not take measurement numbers as a scientific result that can be published in a journal but understand them rather as a relative source of information about the potential impact of a specific change and draw your own conclusions. In the end, performance will always be dependent on the different settings of the end user.
Highlights include:
1) User experience 2) Dashboards 3) Performance analysis 4) Story building 5) Model building 6) Analytics designer 7) Backend and tenant optimization 8) Viewing optimizations 9) Acquired data 10) Live data connections 11) Best practices
Target Audience: This book is for those who are interested in designing dashboards with SAP Analytics Cloud or analytics designer and are concerned about the performance of the dashboards that they create. We assume you have some knowledge of these SAP tools, meaning we won’t explain to you again what an SAP HANA backend is or what SAP Business Warehouse (SAP BW) means. However, we will show you step by step how to technically implement performance improvements in the front end. Therefore, the book is written for both users with a strong technical background and for users who are new to SAP Analytics Cloud.
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