Ai Driven Data Engineering Transforming Big Data Into Actionable Insight

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Ai Driven Data Engineering Transforming Big Data Into Actionable Insight

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Author : Eswar Prasad Galla
language : en
Publisher: JEC PUBLICATION
Release Date :

Ai Driven Data Engineering Transforming Big Data Into Actionable Insight written by Eswar Prasad Galla and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Architecture categories.

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Smart Education And Sustainable Learning Environments In Smart Cities

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Author : Sorayyaei Azar, Ali
language : en
Publisher: IGI Global
Release Date : 2025-02-13

Smart Education And Sustainable Learning Environments In Smart Cities written by Sorayyaei Azar, Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Education categories.

As urbanization accelerates and technological advancements continue to reshape our cities, the integration of smart technologies into urban development has become prominent. At the same time, the education sector faces challenges in adapting to the demands of a rapidly changing world. There is a growing need to prepare students for the digital age while fostering environmental consciousness and sustainability. These smart learning environments are designed to be flexible, accessible, and sustainable, aligning with the broader goals of smart cities to optimize resources, reduce environmental impact, and promote social equity. As cities evolve, the creation of sustainable learning environments becomes essential for academic achievement and the preparation of future generations. Smart Education and Sustainable Learning Environments in Smart Cities explores the intersection of education and smart technology. It investigates how smart technologies can be used to create inclusive, innovative, and environmentally sustainable educational ecosystems within the context of modern urban development. This book covers topics such as learning styles, data science, and cloud technology, and is a useful resource for computer engineers, educators, academicians, urban developers, policymakers, government officials, and researchers.

Artificial Intelligence For Cloud Native Software Engineering

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Author : Chelliah, Pethuru Raj
language : en
Publisher: IGI Global
Release Date : 2025-05-07

Artificial Intelligence For Cloud Native Software Engineering written by Chelliah, Pethuru Raj and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Computers categories.

Artificial intelligence is transforming software engineering by automating development, testing, deployment, and security processes, leading to more efficient and high-quality software solutions. AI-powered tools enhance scalability, reliability, and real-time analytics, enabling businesses to optimize operations and improve decision-making. As cloud-native architectures gain traction, AI-driven innovations are reshaping the way software is designed, maintained, and evolved, driving a new era of intelligent and adaptive technology solutions. Artificial Intelligence for Cloud-Native Software Engineering explores the transformative impact of AI on the software engineering lifecycle, highlighting its role in automating and enhancing various stages of software development. It provides a comprehensive overview of how AI technologies can assist software architects and engineers in creating high-quality, enterprise-grade software efficiently. Covering topics such as source code creation, data security, and multiparameter optimization, this book is an excellent resource for software engineers, computer scientists, professionals, researchers, scholars, academicians, and more.

Complete Data Engineering In 8 Hours

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Author : QuickTechie | A career growth machine
language : en
Publisher: PappuPass Learning Resources
Release Date : 2025-02-02

Complete Data Engineering In 8 Hours written by QuickTechie | A career growth machine and has been published by PappuPass Learning Resources this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-02 with Computers categories.

"Complete Data Engineering in 8 Hours" is a fast-paced learning guide designed to equip both beginners and experienced professionals with the essential skills required to excel in the field of data engineering. In today's digital age, data is paramount, driving decision-making, automation, and innovation. As QuickTechie.com emphasizes, the role of a Data Engineer is increasingly vital for organizations needing to manage, process, and analyze large volumes of data effectively. This book addresses the growing need for skilled professionals who can navigate the complexities of modern data infrastructure. This book offers a structured approach, providing practical insights into core data engineering concepts. It covers essential areas such as databases, data pipelines, Extract, Transform, Load (ETL) processes, big data technologies, and cloud platforms. Unlike traditional lengthy textbooks, this guide is designed to provide a quick yet comprehensive understanding within a targeted timeframe, allowing readers to quickly grasp fundamental principles and advanced techniques. Readers can expect to follow a step-by-step learning path, mastering the art of designing, building, and scaling data systems efficiently. The book ensures readers gain practical, industry-relevant skills that can be immediately applied in a professional setting. This makes it an excellent resource for those transitioning into the field, those aiming to upskill in their current roles, or individuals preparing for data engineering job interviews. By the end of "Complete Data Engineering in 8 Hours," readers will possess the knowledge and confidence to develop, implement, and optimize data infrastructure. This will empower them to become highly valued assets in the data-driven world, capable of contributing significantly to an organization's data strategies. The book is not just a theoretical guide; it provides hands-on learning opportunities to translate theoretical knowledge into practical skills, aligning with QuickTechie.com commitment to practical, applicable technology learning.

Foundations And Applications Of Ai In Data Engineering And Healthcare Analytics

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Author : Bhumika Shah Dr. Arun Prakash Agarwal
language : en
Publisher: DeepMisti Publication
Release Date : 2025-02-02

Foundations And Applications Of Ai In Data Engineering And Healthcare Analytics written by Bhumika Shah Dr. Arun Prakash Agarwal and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-02 with Computers categories.

The advent of artificial intelligence (AI) has ushered in a new era of possibilities, transforming industries and redefining how we solve complex problems. Among its most promising applications, data engineering and healthcare analytics stand out as fields where AI’s potential can revolutionize processes, unlock insights, and enhance outcomes. However, realizing this potential requires a solid understanding of foundational concepts, cutting-edge techniques, and their real- world applications. Foundations and Applications of AI in Data Engineering and Healthcare Analytics bridges the gap between theory and practice, offering readers a comprehensive exploration of AI’s role in these critical domains. This book serves as both an introduction for newcomers and an advanced resource for professionals seeking to deepen their expertise. In the realm of data engineering, AI empowers organizations to manage, process, and analyze vast volumes of data with unprecedented efficiency. From intelligent data pipelines to real-time analytics, this book delves into the tools and techniques that make data actionable and impactful. In healthcare analytics, AI is driving breakthroughs that were once thought impossible—predictive modeling for patient care, personalized medicine, and early disease detection, to name a few. By combining case studies, technical insights, and practical guidelines, this book highlights how AI is shaping a smarter, more responsive healthcare ecosystem. As you embark on this journey, you’ll gain not only the technical knowledge required to implement AI solutions but also the critical perspective needed to navigate ethical considerations, regulatory frameworks, and the human impact of these innovations. Whether you are a data engineer, a healthcare professional, a researcher, or an AI enthusiast, this book offers a roadmap to understanding and leveraging AI to solve real-world challenges in data and healthcare. Welcome to a world where AI meets data and healthcare, unlocking possibilities for a better future. Authors

Ai Driven Enterprise Architecture From Data Engineering To Generative Ai 2025

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Author : Author:1- Bhanuvardhan Nune, Author:2-Dr. Gaurav Kumar
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
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Ai Driven Enterprise Architecture From Data Engineering To Generative Ai 2025 written by Author:1- Bhanuvardhan Nune, Author:2-Dr. Gaurav Kumar and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

PREFACE In the rapidly evolving landscape of technology, enterprises are increasingly turning to artificial intelligence (AI) to drive innovation, efficiency, and growth. The integration of AI into enterprise architecture has shifted from a trend to an essential strategy for businesses looking to maintain a competitive edge. AI-Driven Enterprise Architecture: From Data Engineering to Generative AI is written to explore the transformative impact of AI across all layers of enterprise systems, from data engineering and analytics to innovative generative AI technologies that are reshaping industries. In today’s digital age, businesses face an explosion of data that is often unstructured, decentralized, and sold. For AI to truly revolutionize enterprise systems, there must be a solid architecture that not only supports large-scale data processing but also enables the seamless integration of AI technologies into every corner of the organization. This book takes a comprehensive approach to AI-driven enterprise architecture, focusing on the technical, strategic, and operational challenges and opportunities associated with AI adoption. The journey from data engineering to generative AI requires a solid foundation of data management and processing capabilities. The book begins by discussing the critical importance of data engineering, the practice of building robust systems for collecting, storing, and transforming data into actionable insights. Understanding how to build and maintain efficient data pipelines, databases, and data lakes forms the backbone of AI integration in an enterprise. This foundational understanding sets the stage for deploying machine learning (ML) models and AI-driven tools, which require sophisticated infrastructure to function on a scale. The integration of machine learning and AI models into enterprise architecture is the central focus of this book. As businesses recognize the value of AI in improving decision-making, automation, and customer experiences, this book guides readers through how to implement AI across multiple enterprise functions. From predictive analytics and automation to natural language processing (NLP) and computer vision, we will examine how these AI technologies interact with existing enterprise systems to create smarter, more efficient business operations. One of the most exciting and rapidly advancing fields in AI is generative AI—a technology that can create new data, designs, or content based on learned patterns. Generative AI tools like GPT-3, DALL-E, and stable diffusion models are now being used to generate text, images, code, and even video. The power of these models lies in their ability to produce new, high-quality content that can be harnessed for marketing, customer engagement, product development, and innovation. This book explores how generative AI fits within the broader enterprise architecture and how businesses can leverage these capabilities to unlock new value streams, foster creativity, and enhance productivity. AI-Driven Enterprise Architecture: From Data Engineering to Generative AI is designed for business leaders, data engineers, architects, and AI practitioners who are looking to understand the potential of AI in their organizations. Through real-world case studies, best practices, and technical insights, this book aims to provide a holistic view of how AI-driven enterprise architecture can deliver long-term strategic value. The book also delves into the challenges and ethical considerations of AI implementation, particularly with regard to data privacy, algorithmic bias, and governance, ensuring that AI is deployed responsibly and sustainably. As businesses embrace AI technologies, it is clear that the future of enterprise architecture will be driven by data-centric, AI-powered models that allow organizations to be more adaptive, responsive, and innovative. This book offers a roadmap for navigating that future, helping organizations transform their architecture to support the AI-driven, intelligent enterprise of tomorrow. We invite you to embark on this journey through the evolving world of AI-driven enterprise architecture, where the combination of data engineering, machine learning, and generative AI is shaping the future of businesses across the globe. Authors

A Practical Guide To Data Engineering

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Author : Pedram Ariel Rostami
language : en
Publisher: Starseed AI
Release Date :

A Practical Guide To Data Engineering written by Pedram Ariel Rostami and has been published by Starseed AI this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.

"A Practical Guide to Machine Learning and AI: Part-I" is an essential resource for anyone looking to dive into the world of artificial intelligence and machine learning. Whether you're a complete beginner or have some experience in the field, this book will equip you with the fundamental knowledge and hands-on skills needed to harness the power of these transformative technologies. In this comprehensive guide, you'll embark on an engaging journey that starts with the basics of data engineering. You'll gain a solid understanding of big data, the key roles involved, and how to leverage the versatile Python programming language for data-centric tasks. From mastering Python data types and control structures to exploring powerful libraries like NumPy and Pandas, you'll build a strong foundation to tackle more advanced concepts. As you progress, the book delves into the realm of exploratory data analysis (EDA), where you'll learn techniques to clean, transform, and extract insights from your data. This sets the stage for the heart of the book - machine learning. You'll explore both supervised and unsupervised learning, diving deep into regression, classification, clustering, and dimensionality reduction algorithms. Along the way, you'll encounter real-world examples and hands-on exercises to reinforce your understanding and apply what you've learned. But this book goes beyond just the technical aspects. It also addresses the ethical considerations surrounding machine learning, ensuring you develop a well-rounded perspective on the responsible use of these powerful tools. Whether your goal is to jumpstart a career in data science, enhance your existing skills, or simply satisfy your curiosity about the latest advancements in AI, "A Practical Guide to Machine Learning and AI: Part-I" is your comprehensive companion. Prepare to embark on an enriching journey that will equip you with the knowledge and skills to navigate the exciting frontiers of artificial intelligence and machine learning.

Fundamentals Of Big Data Data Mining And Machine Learning

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Author : Tarunika Chaudhari, Kamlesh W. Kelwade, K. Jasmine Mystica, M. Amshavalli
language : en
Publisher: RK Publication
Release Date : 2025-04-12

Fundamentals Of Big Data Data Mining And Machine Learning written by Tarunika Chaudhari, Kamlesh W. Kelwade, K. Jasmine Mystica, M. Amshavalli and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-12 with Computers categories.

This book offers a comprehensive introduction to Big Data, Data Mining, and Machine Learning, exploring foundational concepts, techniques, and real-world applications. It provides readers with essential tools for data analysis, pattern discovery, and predictive modeling, making it ideal for students, researchers, and professionals in data science and related fields.

Foundations Of Probability Theory

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Author : Himadri Deshpande
language : en
Publisher: Educohack Press
Release Date : 2025-02-20

Foundations Of Probability Theory written by Himadri Deshpande and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Science categories.

"Foundations of Probability Theory" offers a thorough exploration of probability theory's principles, methods, and applications. Designed for students, researchers, and practitioners, this comprehensive guide covers both foundational concepts and advanced topics. We begin with basic probability concepts, including sample spaces, events, probability distributions, and random variables, progressing to advanced topics like conditional probability, Bayes' theorem, and stochastic processes. This approach lays a solid foundation for further exploration. Our book balances theory and application, emphasizing practical applications and real-world examples. We cover topics such as statistical inference, estimation, hypothesis testing, Bayesian inference, Markov chains, Monte Carlo methods, and more. Each topic includes clear explanations, illustrative examples, and exercises to reinforce learning. Whether you're a student building a solid understanding of probability theory, a researcher exploring advanced topics, or a practitioner applying probabilistic methods to solve real-world problems, this book is an invaluable resource. We equip readers with the knowledge and tools necessary to tackle complex problems, make informed decisions, and explore probability theory's rich landscape with confidence.

Intelligent Supply Chains Ai Driven Transformation In Retail And Manufacturing

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Author : Goutham Kumar Sheelam
language : en
Publisher: AQUA PUBLICATION
Release Date :

Intelligent Supply Chains Ai Driven Transformation In Retail And Manufacturing written by Goutham Kumar Sheelam and has been published by AQUA PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.