Cloud-Native Data Science: Advanced NLP and Analytics for Modern Enterprises is a comprehensive guide that unites the power of cloud computing, artificial intelligence, and large-scale analytics to redefine how organizations harness data. This book presents a complete journey from the foundations of modern cloud-native data architecture to the sophisticated implementation of scalable Natural Language Processing, machine learning, and real-time analytics in enterprise environments.
Written with both depth and clarity, the book explores how cloud-native principles revolutionize data pipelines, enabling elasticity, automation, and continuous intelligence. It unveils the frameworks and tools that make large-scale text analytics, document intelligence, and sentiment analysis possible while maintaining security, compliance, and governance. With a balanced focus on technical implementation and strategic business outcomes, it demonstrates how enterprises can transform data into measurable value.
Readers will gain insight into MLOps best practices, distributed computing, data engineering excellence, and cost-efficient cloud optimization. Through industry case studies-from finance and healthcare to retail and manufacturing the book showcases how analytics drives innovation and resilience.
Whether you are a data scientist, cloud architect, business analyst, or enterprise leader, this book serves as your blueprint for building intelligent, scalable, and future-ready analytics ecosystems. It invites you to explore the synergy between technology and strategy, unlocking the full potential of cloud-native data science for modern, data-driven enterprises.