Practical Data Science with SAP
Machine Learning Techniques for Enterprise Data
暫譯: SAP 實用數據科學
Foss, Greg, Modderman, Paul
- 出版商: O'Reilly
- 出版日期: 2019-10-29
- 定價: $2,300
- 售價: 8.0 折 $1,840
- 語言: 英文
- 頁數: 332
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1492046442
- ISBN-13: 9781492046448
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相關分類:
SAP、Machine Learning、Data Science
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相關翻譯:
基於 SAP 的企業級實用數據分析 (Practical Data Science with SAP Machine Learning Techniques for Enterprise Data) (簡中版)
立即出貨 (庫存 < 3)
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 企業資源規劃 (ERP) 系統融合。這本實用指南由 SAP 老手 Greg Foss 和 Paul Modderman 介紹如何使用幾種數據分析工具來解決與您的 SAP 數據相關的有趣問題。
數據工程師和科學家將探索如何將 SAP 數據添加到他們的分析過程中,而 SAP 商業分析師將學習實用的方法來回答有關業務的問題。通過專注於 SAP 流程和數據科學工具的具體解釋,本書為數據科學家和商業分析師提供了發現深層數據真相的強大方法。
您將探索:
- 數據分析如何幫助您解決幾個 SAP 挑戰的範例
- 自然語言處理以解鎖文本中的秘密
- 用於數據聚類和分割的數據科學技術
- 檢測 SAP 數據異常的方法
- 使您的數據栩栩如生的數據可視化技術
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 將經過考驗的深厚 SAP 知識與對數據科學的熱情結合在一起。他的 SAP 職業生涯涵蓋了技術堆疊的所有領域——伺服器、資料庫、安全性、前端和後端開發,以及功能專業知識。作為企業架構師,他多年來一直是管理、支持和增強 SAP 的穩定指導者。作為 Blue Diesel Data Science 的創始人,他專注於將多年在 R、Python、機器學習算法和分析方面的專業知識,尋找從企業 SAP 數據中講述獨特故事的機會。通過 Blue Diesel,Greg 定期為數據科學博客社群貢獻獨特的知識和見解,並且是 VisionaryRX 的主要開發者和架構師,這是一款創新的製藥數據儀表板產品。
Paul Modderman 喜歡創造事物並分享它們。他的技術職業生涯涵蓋了使用 .NET、Java、Python 和 React 等技術的網頁應用程式,從 ABAP、OData 和 SAPUI5 的 SAP 解決方案,到 Google Cloud Platform、Amazon Web Services 和 Microsoft Azure 的雲技術。他曾擔任 Mindset 認證解決方案 CloudSimple 和 Analytics for BW 的首席技術架構師。他是 SAP Developer Hero,於 2017 年獲得榮譽。Paul 是兩本書的作者:《Mindset Perspectives: SAP Development Tips, Tricks, and Projects》和 SAP Press 出版的《SAPUI5 and SAP Fiori: The Psychology of UX Design》。