Modern Data Engineering and AI: From Pipelines to Intelligent Analytics

Modern Data Engineering and AI: From Data Pipelines to Intelligent Analytics is a comprehensive guide to building intelligent, scalable, and future-ready data ecosystems. Covering the complete journey from modern data engineering fundamentals to AI-driven analytics, this book explains how organizations collect, process, govern, and transform data into actionable business intelligence. Readers will explore modern architectures, cloud-native platforms, ETL/ELT workflows, distributed processing, data governance, security, and real-time analytics, while gaining practical insights into machine learning, AI-powered observability, intelligent automation, MLOps, and decision intelligence. The book also examines emerging innovations, including autonomous data platforms, Generative AI, and responsible AI practices that are reshaping enterprise data strategies. Designed for data engineers, data architects, AI practitioners, business analysts, researchers, and technology leaders, this resource combines conceptual foundations with industry best practices, enabling readers to design robust data pipelines and leverage AI to drive innovation, operational excellence, and informed decision-making in the digital era.