Data Engineering For Smart Systems
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Data Engineering for Smart Systems
This book features original papers from the 3rd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2021), organized by Manipal University, Jaipur, India, during January 22–23, 2021. It discusses scientific works related to data engineering in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. Thanks to the high-quality content and the broad range of topics covered, the book appeals to researchers pursuing advanced studies.
The Art of Data Engineering: Building AI-Driven Pipelines and Intelligent Systems
Author: Muneer Ahmed Salamkar
language: en
Publisher: Libertatem Media Private Limited
Release Date: 2024-02-28
In the age of AI, the backbone of intelligent systems lies in the seamless flow of high-quality data. The Art of Data Engineering: Building AI-Driven Pipelines and Intelligent Systems is an essential guide for data engineers, AI practitioners, and technology leaders seeking to design scalable, efficient, and intelligent data ecosystems. This book explores the critical role of data engineering in AI success, offering a comprehensive framework for building robust data pipelines that power machine learning models and real-time decision-making systems. From foundational concepts to advanced techniques, readers will learn how to design modular pipelines, leverage real-time analytics, and optimize data storage solutions using cutting-edge tools like Apache Kafka, Spark, and Databricks. With practical case studies across industries such as finance, healthcare, and e-commerce, the book demonstrates how intelligent data systems transform raw data into actionable insights. Key topics include data transformation, feature engineering, cloud-based architectures, and ethical considerations in AI. Whether you're architecting real-time fraud detection systems or developing recommendation engines, The Art of Data Engineering equips professionals with the skills to design resilient pipelines that drive innovation. This book is your definitive roadmap to mastering the intersection of data engineering and AI, empowering you to build the next generation of intelligent systems.
Trends in Data Engineering Methods for Intelligent Systems
This book briefly covers internationally contributed chapters with artificial intelligence and applied mathematics-oriented background-details. Nowadays, the world is under attack of intelligent systems covering all fields to make them practical and meaningful for humans. In this sense, this edited book provides the most recent research on use of engineering capabilities for developing intelligent systems. The chapters are a collection from the works presented at the 2nd International Conference on Artificial Intelligence and Applied Mathematics in Engineering held within 09-10-11 October 2020 at the Antalya, Manavgat (Turkey). The target audience of the book covers scientists, experts, M.Sc. and Ph.D. students, post-docs, and anyone interested in intelligent systems and their usage in different problem domains. The book is suitable to be used as a reference work in the courses associated with artificial intelligence and applied mathematics.