Big Data in Practice by Jitender Jain (.ePUB)
File Size: 11.2 MB
Big Data in Practice: Harnessing Spark, Kafka, and cloud computing for scalable AI solutions by Jitender Jain, Medha Gupta
Requirements: .ePUB reader, 11.2 MB | True EPUB
Overview: Artificial Intelligence systems today are driven by data at unprecedented scale. As Machine Learning, real-time inference, and Generative AI reshape industries, organizations need robust big data platforms to ingest, process, and operationalize vast and complex datasets. Big Data has become the backbone of modern AI systems, making data engineering skills essential for professionals across technology, analytics, and AI roles. This book provides a practical guide to designing and building data platforms that power AI applications. It covers core Big Data technologies such as Hadoop, Spark, Kafka, NoSQL, and cloud data platforms, then connects them to the AI lifecycle, including data ingestion, feature engineering, scalable model training, real-time inference, and MLOps. Real-world use cases across finance, healthcare, e-commerce, and autonomous systems demonstrate how these technologies work together in production environments. By the end of this book, the readers will be equipped to design end-to-end Big Data pipelines, support scalable AI and ML workloads, and extract insights from data at any velocity or volume. Whether you are a data engineer, ML practitioner, or architect, this book prepares you to build and operate AI-ready data systems with confidence. This book is aimed at intermediate level professionals working with data and enterprise systems who want to apply Big Data technologies in real-world AI projects. It is well suited for data engineers, ML practitioners, software engineers, architects, and IT professionals building scalable AI-driven data platforms.
Genre: Non-Fiction > Tech & Devices
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