Advanced Data Engineering, Agentic AI, and Multi-Cloud Enterprise Platforms | AGPH Books
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Book Title: Advanced Data Engineering, Agentic AI, and Multi-Cloud Enterprise Platforms | AGPH Books
Advanced Data Engineering, Agentic AI, and Multi-cloud Enterprise Platforms explores the technologies and architectural approaches shaping modern data driven enterprises. It brings together advanced data engineering, autonomous artificial intelligence, cloud computing, analytics, governance, and enterprise automation within a unified technological perspective.
The book addresses contemporary approaches to multi-cloud data management, event driven processing, autonomous data pipelines, DataOps, agentic AI, intelligent lakehouse architectures, enterprise knowledge fabrics, and Retrieval Augmented Generation. It further examines MLOps, LLMOps, AI observability, data governance, security automation, scientific data platforms, genomics workflows, and AWS based enterprise solutions.
Particular attention is given to intelligent systems capable of automating data operations, optimizing workloads, discovering metadata, supporting enterprise knowledge retrieval, and improving operational decision making. The discussion also highlights the importance of scalability, interoperability, data quality, security, compliance, and responsible AI practices.
The book is designed as a valuable academic and professional resource for undergraduate and postgraduate students, researchers, data engineers, AI professionals, cloud architects, technology consultants, and enterprise leaders. It provides a concise yet comprehensive foundation for understanding how advanced data engineering and agentic AI are contributing to the development of intelligent, resilient, and scalable multi-cloud enterprise platforms.
About The Publisher:
AGPH Books is a professional self-book publishing house based in Central India, specializing in academic, professional, fiction, and non-fiction books in print, digital, and audio formats. The publishing house produces textbooks, research and reference works, biographies, self-help titles, children's books, literary fiction, poetry, and general interest publications. With a transparent publishing process and strong digital distribution, AGPH Books ensures global availability through Google Books, Amazon, Flipkart, and its official website store, supporting authors and institutions in reaching a wide and diverse readership.
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About the Author
Mohana Ravi Teja Gutta is a Lead Data Engineer at 84.51°, the retail media and data science arm of Kroger, with 12 years of experience in designing and operating large-scale data platforms. At 84.51°, he leads data pipelines that collect advertising campaign data from the Kroger advertising platform and integrate it across Salesforce Media Cloud, Dynamics 365, and Anaplan, supporting media sales, billing, and revenue recognition for a major U.S. retail media business. His professional experience spans the retail, financial services, and healthcare sectors, including engineering roles at Northern Trust, Chase Bank, and Novartis. He has built streaming and batch data pipelines using Apache Spark and Kafka, migrated enterprise workloads across Azure, AWS, and GCP, and worked with sensitive and regulated data under stringent privacy and compliance requirements. His hands-on experience in architecting and operating multi-cloud enterprise data platforms, along with supporting analytics and machine learning workloads, forms the foundation of this book. He holds an M.S. in Computer Science from the University of Dayton, a Post Graduate Diploma in Data Mining from Annamalai University, and a B.E. in Electrical Engineering from JNTU Hyderabad. He is also a Microsoft Certified Azure Data Engineer Associate (DP-203). A strong believer in continuous learning and knowledge sharing, he enjoys mentoring engineers and writing about data engineering, artificial intelligence, and cloud architecture for practitioners at every level.
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