Practical Data Science with SAP Machine Learning Techniques for Enterprise Data (SAP 實用數據科學)

Foss, Greg, Modderman, Paul

Practical Data Science with SAP

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商品描述

Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system. With this practical guide, SAP veterans Greg Foss and Paul Modderman demonstrate how to use several data analysis tools to solve interesting problems with your SAP data.

Data engineers and scientists will explore ways to add SAP data to their analysis processes, while SAP business analysts will learn practical methods for answering questions about the business. By focusing on grounded explanations of both SAP processes and data science tools, this book gives data scientists and business analysts powerful methods for discovering deep data truths.

You'll explore:

  • Examples of how data analysis can help you solve several SAP challenges
  • Natural language processing for unlocking the secrets in text
  • Data science techniques for data clustering and segmentation
  • Methods for detecting anomalies in your SAP data
  • Data visualization techniques for making your data come to life

商品描述(中文翻譯)

學習如何將當今的數據科學工具和技術與您的SAP企業資源計劃（ERP）系統相結合。在這本實用指南中，SAP老手Greg Foss和Paul Modderman展示了如何使用多種數據分析工具來解決您的SAP數據中的有趣問題。

數據工程師和科學家將探索將SAP數據添加到其分析流程中的方法，而SAP業務分析師將學習回答有關業務的問題的實用方法。通過對SAP流程和數據科學工具的深入解釋，本書為數據科學家和業務分析師提供了發現深層數據真相的強大方法。

您將探索以下內容：

- 數據分析如何幫助您解決多個SAP挑戰的示例
- 解鎖文本中的秘密的自然語言處理技術
- 數據聚類和分割的數據科學技術
- 檢測SAP數據中異常的方法
- 使數據生動的數據可視化技術

作者簡介

Greg Foss fuses battle-tested deep SAP knowledge with a passion for all things data science. His SAP career spans all areas of the technology stack - server, database, security, back and front end development, and functional expertise. As an enterprise architect, he's been the steady guiding hand for years of managing, supporting, and enhancing SAP. As the founder of Blue Diesel Data Science, he focuses years of R, Python, machine learning algorithms, and analytics expertise on finding unique stories to tell from enterprise SAP data. Through Blue Diesel, Greg regularly contributes unique knowledge and insight into the data science blogging community, and is the principal developer and architect of VisionaryRX, an innovative pharmaceutical data dashboarding product.

Paul Modderman loves creating things and sharing them. His tech career has spanned web applications with technologies like .NET, Java, Python, and React to SAP solutions in ABAP, OData and SAPUI5, to cloud technologies in Google Cloud Platform, Amazon Web Services, and Microsoft Azure. He was principal technical architect on Mindset's certified solutions CloudSimple and Analytics for BW. He's an SAP Developer Hero, honored in 2017. Paul is the author of two books: Mindset Perspectives: SAP Development Tips, Tricks, and Projects, and the SAP Press published SAPUI5 and SAP Fiori: The Psychology of UX Design.

作者簡介(中文翻譯)

Greg Foss將經過實戰驗證的深入SAP知識與對所有數據科學事物的熱情相結合。他的SAP職業生涯涵蓋了技術堆棧的所有領域 - 伺服器、數據庫、安全性、後端和前端開發以及功能專業知識。作為企業架構師，多年來他一直是管理、支持和增強SAP的穩定指導者。作為Blue Diesel Data Science的創始人，他將多年的R、Python、機器學習算法和分析專業知識專注於從企業SAP數據中找到獨特的故事。通過Blue Diesel，Greg定期為數據科學博客社區提供獨特的知識和見解，並且是VisionaryRX的主要開發人員和架構師，這是一個創新的藥物數據儀表板產品。

Paul Modderman喜歡創造和分享事物。他的技術職業生涯涵蓋了使用.NET、Java、Python和React等技術的Web應用程序，以及在ABAP、OData和SAPUI5中的SAP解決方案，以及在Google Cloud Platform、Amazon Web Services和Microsoft Azure等雲技術中。他是Mindset公司認證解決方案CloudSimple和Analytics for BW的主要技術架構師。他是2017年榮譽的SAP開發者英雄。Paul是兩本書的作者：Mindset Perspectives: SAP Development Tips, Tricks, and Projects和由SAP Press出版的SAPUI5 and SAP Fiori: The Psychology of UX Design。

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