SAP Business Technology Platform (Second Edition) (SAP PRESS)
Author: Smitha Banda (Author), Shibaji Chandra (Author), Chun Aun Gooi (Author)
Publisher finelybook 出版社: SAP PRESS
Edition 版本: 2nd ed. edition
Publication Date 出版日期: 2024-08-28
Language 语言: English
Print Length 页数: 729 pages
ISBN-10: 1493226177
ISBN-13: 9781493226177
Book Description
Book Description
About the Author
Smitha Banda is a senior business development manager at SAP and the head of the SAP BTP practice for North America. She started her journey at SAP in 2005 as a consultant providing advisory, architecture, and development services to customers around the globe. She has always worked closely with customers and continues to do so in her current role. She has been instrumental in building the SAP BTP practice within SAP across all regions. She works closely with the go-to-market and partner enablement teams to build services and programs to support customers’ SAP BTP needs. She and her team of SAP BTP experts, architects, developers, and consultants are involved in end-to-end SAP BTP implementations.
Shibaji Chandra is a principal enterprise architect at SAP who has in-depth knowledge and expertise in SAP BTP. Shibaji has been working in the SAP space for more than 20 years and has extensive work experience with SAP’s cloud platforms and related services since 2013. He has worked very closely with customers over the years, providing solution architectures and defining best practices, strategies, and methodologies. He has built several SAP BTP-based applications and educated customers, partners, and internal SAP teams around the globe on SAP BTP-related topics.
Chun Aun Gooi is an SAP BTP architect and a developer at heart. With more than 12 years of SAP experience, he excels in architecting, building, and enhancing enterprise software. He has played a key role in numerous customer projects, offering expert guidance and strategic advice on clean core implementation, reference architectures, and more SAP BTP topics.
相关文件下载地址
相关推荐
- AWS Cloud Projects: Strengthen your AWS skills through practical projects, from websites to advanced AI applications
- Practical Digital Forensics: A Guide for Windows and Linux Users
- Machine Learning in Farm Animal Behavior using Python
- Machine Intelligence Applications in Cyber-Risk Management
- Kibana 8.x - A Quick Start Guide to Data Analysis: Learn about data exploration, visualization, and dashboard building with Kibana
- Innovations in Blockchain-Powered Intelligence and Cognitive Internet of Things (CIoT)