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  • Language: English

    Published by Independently published, 2025

    9798314022474

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  • Language: English

    Published by Independently published, 2025

    9798314022474

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  • Language: English

    Published by Amazon Digital Services LLC - Kdp, 2025

    9798314022474

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  • Language: English

    Published by Amazon Digital Services LLC - Kdp, 2025

    9798314022474

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  • Language: English

    Published by Independently published, 2025

    9798314022474

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  • Language: English

    Published by Independently published, 2025

    9798314022474

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  • Language: English

    Published by Independently published, 2025

    9798314022474

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  • Language: English

    Published by Independently Published, 2025

    9798314022474

    • Softcover
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    Paperback. Condition: new. Paperback. Introduction: Data Engineering - From Zero to ProductionWelcome to Hands-On Data Engineering: From Zero to Production, your practical guide to building real-world data pipelines. This book isn't about abstract theory; it's a hands-on journey that takes you from foundational concepts to implementing a fully functional, production-ready data engineering project.Why This Book?In today's data-driven world, effective data engineering is the backbone of any successful organization. The ability to collect, store, transform, and analyze data at scale is crucial for gaining a competitive edge, making informed decisions, and driving innovation. This book bridges the gap between theoretical knowledge and practical skills, equipping you with the expertise to design, build, and manage robust data pipelines.What You'll LearnBy the end of this book, you'll be able to: Understand the Fundamentals: Grasp core data engineering principles, including data collection, storage architectures (Data Lakes, Data Warehouses, and Lakehouses), and ETL processes.Understand Essential Technologies: Gain hands-on experience with Python, Apache Airflow, and a range of popular databases: MSSQL: For transactional data and enterprise-level integrations.PostgreSQL: For analytical workloads and as a staging database.MySQL: For lightweight and quick data storage needs.BigQuery: For scalable, serverless data warehousing in the cloud.Build Scalable Data Pipelines: Design and implement data pipelines capable of handling thousands of tasks using Apache Airflow and Python.Tackle Real-World Challenges: Address memory constraints when dealing with large datasets, build incremental pipelines, and design pipelines for different data synchronization scenarios.Construct a Common Framework: Develop robust, reusable, and scalable data synchronization frameworks to automate and speed up pipeline development.Who This Book Is ForThis book is for anyone who wants to become a proficient data engineer. Whether you're a software engineer, data scientist, or IT professional looking to expand your skillset, this book will provide you with the knowledge and practical experience you need to succeed. No prior data engineering experience is required.Embark on Your Data Engineering JourneyGet ready to roll up your sleeves and dive into the world of data engineering. Let's begin building your journey from zero to production. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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    Language: English

    Published by Independently Published, 2025

    9798314022474

    • Softcover

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  • Language: English

    Published by KS Omniscriptum Publishing, 2024

    6208009693 / 9786208009694

    • Softcover

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  • Language: English

    Published by KS Omniscriptum Publishing, 2024

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    • Softcover

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  • Condition: New

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2024

    6208009693 / 9786208009694

    • Softcover

    Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2024

    6208009693 / 9786208009694

    • Softcover

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    Language: English

    Published by LAP LAMBERT Academic Publishing, 2024

    6208009693 / 9786208009694

    • Softcover

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    Taschenbuch. Condition: Neu. Artificial Intelligence for Sustainable Industry 4.0 and 5.0 | Machine Learning, Deep Learning, and Big Data Analytics for Smart and Sustainable Industry 4.0, 5.0, and Society 5.0 | Nitin Rane (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208009694 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

  • Language: English

    Published by Springer International Publishing AG, Cham, 2025

    3031928490 / 9783031928499

    • Hardcover

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    Hardcover. Condition: new. Hardcover. This book is an extensive guide that covers topics related to building sustainable and resilient urban environments. The book delves into crucial issues such as energy efficiency, air quality, climate change mitigation and adaptation, solid waste management, transportation, water balance, and flood control. This book is mainly intended for urban planners, policymakers, environmental managers, and researchers who are involved in urban development and management. It provides a thorough analysis of the current state of urban development and its impact on the environment and society. Furthermore, the book offers practical solutions and tools for improving sustainability and resilience. The topics addressed in this book are of utmost importance due to the increasing concerns about the impact of urbanization on the environment and society. The book highlights the challenges of rapid urbanization, such as air pollution, energy consumption, waste management, and water scarcity. It offers insights into sustainable and resilient urban development and management practices to tackle these challenges. The primary aim of this book is to provide a comprehensive overview of the latest tools and techniques for sustainable and resilient urban development and management. It provides practical solutions and case studies to demonstrate how these tools can be utilized to improve sustainability and resilience in urban environments. Additionally, the book seeks to increase awareness among urban planners, policymakers, and managers about the significance of sustainable and resilient urban development and the potential benefits of implementing these practices. This book is an extensive guide that covers topics related to building sustainable and resilient urban environments. This book is mainly intended for urban planners, policymakers, environmental managers, and researchers who are involved in urban development and management. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Language: English

    Published by Springer International Publishing AG, Cham, 2025

    3031860381 / 9783031860386

    • Hardcover

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    Hardcover. Condition: new. Hardcover. With rapid urbanization defining the 21st Century, cities face mounting challenges in achieving sustainability, equity, and functionality. This book explores how innovative technologies such as Artificial Intelligence (AI) and Large Language Models (LLMs) can transform urban development by offering intelligent, data-driven solutions. LLMs go beyond automation, acting as co-creators in addressing environmental sustainability, resource management, and equitable development. By analyzing regulations, best practices, and real-time data on phenomena such as air pollution and traffic, these models empower urban planners to design smarter, more sustainable cities while fostering collaboration across disciplines.Divided into five sections, the book explores the diverse applications of LLMs, from optimizing renewable energy systems and enhancing urban planning to revolutionizing construction practices and improving resource efficiency. It highlights case studies on integrating AI with smart infrastructure, ecological balance, and disaster resilience. While underscoring their transformative potential, the book also examines ethical considerations such as bias, privacy, and environmental impact. More than a collection of research, this work is a call to action for urban planners, data scientists, policymakers, and researchers to harness AI responsibly in building greener, more equitable urban futures. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Language: English

    Published by Springer, 2025

    3031928490 / 9783031928499

    • Hardcover

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  • Language: English

    Published by Springer-Nature New York Inc, 2025

    3031860381 / 9783031860386

    • Hardcover

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    Hardcover. Condition: Brand New. 474 pages. 9.25x6.10x9.49 inches. In Stock.

  • Language: English

    Published by Springer International Publishing AG, Cham, 2025

    3031860381 / 9783031860386

    • Hardcover

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    Hardcover. Condition: new. Hardcover. With rapid urbanization defining the 21st Century, cities face mounting challenges in achieving sustainability, equity, and functionality. This book explores how innovative technologies such as Artificial Intelligence (AI) and Large Language Models (LLMs) can transform urban development by offering intelligent, data-driven solutions. LLMs go beyond automation, acting as co-creators in addressing environmental sustainability, resource management, and equitable development. By analyzing regulations, best practices, and real-time data on phenomena such as air pollution and traffic, these models empower urban planners to design smarter, more sustainable cities while fostering collaboration across disciplines.Divided into five sections, the book explores the diverse applications of LLMs, from optimizing renewable energy systems and enhancing urban planning to revolutionizing construction practices and improving resource efficiency. It highlights case studies on integrating AI with smart infrastructure, ecological balance, and disaster resilience. While underscoring their transformative potential, the book also examines ethical considerations such as bias, privacy, and environmental impact. More than a collection of research, this work is a call to action for urban planners, data scientists, policymakers, and researchers to harness AI responsibly in building greener, more equitable urban futures. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Language: English

    Published by Springer, 2025

    3031860381 / 9783031860386

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  • Condition: New

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    Hardcover. Condition: Brand New. 400 pages. 9.26x6.11x9.49 inches. In Stock.

  • Language: English

    Published by Birkhäuser, 2025

    3031928490 / 9783031928499

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    Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is an extensive guide that covers topics related to building sustainable and resilient urban environments. The book delves into crucial issues such as energy efficiency, air quality, climate change mitigation and adaptation, solid waste management, transportation, water balance, and flood control. This book is mainly intended for urban planners, policymakers, environmental managers, and researchers who are involved in urban development and management. It provides a thorough analysis of the current state of urban development and its impact on the environment and society. Furthermore, the book offers practical solutions and tools for improving sustainability and resilience. The topics addressed in this book are of utmost importance due to the increasing concerns about the impact of urbanization on the environment and society. The book highlights the challenges of rapid urbanization, such as air pollution, energy consumption, waste management, and water scarcity. It offers insights into sustainable and resilient urban development and management practices to tackle these challenges. The primary aim of this book is to provide a comprehensive overview of the latest tools and techniques for sustainable and resilient urban development and management. It provides practical solutions and case studies to demonstrate how these tools can be utilized to improve sustainability and resilience in urban environments. Additionally, the book seeks to increase awareness among urban planners, policymakers, and managers about the significance of sustainable and resilient urban development and the potential benefits of implementing these practices.

  • Language: English

    Published by Springer-Nature New York Inc, 2025

    3031860381 / 9783031860386

    • Hardcover

    Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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    Hardcover. Condition: Brand New. 474 pages. 9.25x6.10x9.49 inches. In Stock.

  • Language: English

    Published by Springer, 2026

    3031860411 / 9783031860416

    • Softcover

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - With rapid urbanization defining the 21st Century, cities face mounting challenges in achieving sustainability, equity, and functionality. This book explores how innovative technologies such as Artificial Intelligence (AI) and Large Language Models (LLMs) can transform urban development by offering intelligent, data-driven solutions. LLMs go beyond automation, acting as co-creators in addressing environmental sustainability, resource management, and equitable development. By analyzing regulations, best practices, and real-time data on phenomena such as air pollution and traffic, these models empower urban planners to design smarter, more sustainable cities while fostering collaboration across disciplines.Divided into five sections, the book explores the diverse applications of LLMs, from optimizing renewable energy systems and enhancing urban planning to revolutionizing construction practices and improving resource efficiency. It highlights case studies on integrating AI with smart infrastructure, ecological balance, and disaster resilience. While underscoring their transformative potential, the book also examines ethical considerations such as bias, privacy, and environmental impact. More than a collection of research, this work is a call to action for urban planners, data scientists, policymakers, and researchers to harness AI responsibly in building greener, more equitable urban futures.

  • Language: English

    Published by Springer, 2025

    3031860381 / 9783031860386

    • Hardcover

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - With rapid urbanization defining the 21st Century, cities face mounting challenges in achieving sustainability, equity, and functionality. This book explores how innovative technologies such as Artificial Intelligence (AI) and Large Language Models (LLMs) can transform urban development by offering intelligent, data-driven solutions. LLMs go beyond automation, acting as co-creators in addressing environmental sustainability, resource management, and equitable development. By analyzing regulations, best practices, and real-time data on phenomena such as air pollution and traffic, these models empower urban planners to design smarter, more sustainable cities while fostering collaboration across disciplines.Divided into five sections, the book explores the diverse applications of LLMs, from optimizing renewable energy systems and enhancing urban planning to revolutionizing construction practices and improving resource efficiency. It highlights case studies on integrating AI with smart infrastructure, ecological balance, and disaster resilience. While underscoring their transformative potential, the book also examines ethical considerations such as bias, privacy, and environmental impact. More than a collection of research, this work is a call to action for urban planners, data scientists, policymakers, and researchers to harness AI responsibly in building greener, more equitable urban futures.

  • Language: French

    Published by KS Omniscriptum Publishing, 2024

    620808055X / 9786208080556

    • Softcover

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    PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

  • Language: French

    Published by Editions Notre Savoir, 2024

    620808055X / 9786208080556

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  • Language: French

    Published by KS Omniscriptum Publishing, 2024

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    • Softcover

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  • Language: French

    Published by Editions Notre Savoir, 2024

    620808055X / 9786208080556

    • Softcover

    Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections

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