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Data Engineering Fundamentals: A Step by Step Approach
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Data Engineering Fundamentals: A Step by Step Approach
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Data Engineering Fundamentals: A Step by Step Approach
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Paperback. Condition: new. Paperback. Data Engineering Fundamental: A Step by Step ApproachUnlock the Power of Data with Practical Guidance from a Data Engineering ExpertIn today's data-driven world, organizations thrive on the ability to harness, process, and analyze data effectively. Data Engineering Fundamental: A Step by Step Approach is the ultimate guide for aspiring data engineers, data analysts, and professionals seeking to build a robust foundation in data engineering.This comprehensive book breaks down the core concepts of data engineering, offering a practical, hands-on approach to mastering key tools and techniques. From data pipelines and ETL processes to cloud technologies and database optimization, you'll explore a wide range of topics essential for managing and transforming data at scale.Key features include: Real-World Case Studies: Apply your learning to scenarios faced by data engineers in leading industries.Step-by-Step Guides: Detailed instructions to walk you through complex data engineering processes.Tool Mastery: In-depth coverage of popular platforms such as AWS, Azure, Databricks, and SQL databases.Best Practices: Learn how to design, optimize, and maintain efficient data pipelines. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Data Engineering Fundamentals: A Step by Step Approach
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Add to basketTaschenbuch. Condition: Neu. Neuware - Data Engineering Fundamental: A Step by Step Approach.
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Add to basketPaperback. Condition: new. Paperback. Data Engineering Fundamental: A Step by Step ApproachUnlock the Power of Data with Practical Guidance from a Data Engineering ExpertIn today's data-driven world, organizations thrive on the ability to harness, process, and analyze data effectively. Data Engineering Fundamental: A Step by Step Approach is the ultimate guide for aspiring data engineers, data analysts, and professionals seeking to build a robust foundation in data engineering.This comprehensive book breaks down the core concepts of data engineering, offering a practical, hands-on approach to mastering key tools and techniques. From data pipelines and ETL processes to cloud technologies and database optimization, you'll explore a wide range of topics essential for managing and transforming data at scale.Key features include: Real-World Case Studies: Apply your learning to scenarios faced by data engineers in leading industries.Step-by-Step Guides: Detailed instructions to walk you through complex data engineering processes.Tool Mastery: In-depth coverage of popular platforms such as AWS, Azure, Databricks, and SQL databases.Best Practices: Learn how to design, optimize, and maintain efficient data pipelines. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Add to basketPaperback. Condition: new. Paperback. Data Engineering Fundamental: A Step by Step ApproachUnlock the Power of Data with Practical Guidance from a Data Engineering ExpertIn today's data-driven world, organizations thrive on the ability to harness, process, and analyze data effectively. Data Engineering Fundamental: A Step by Step Approach is the ultimate guide for aspiring data engineers, data analysts, and professionals seeking to build a robust foundation in data engineering.This comprehensive book breaks down the core concepts of data engineering, offering a practical, hands-on approach to mastering key tools and techniques. From data pipelines and ETL processes to cloud technologies and database optimization, you'll explore a wide range of topics essential for managing and transforming data at scale.Key features include: Real-World Case Studies: Apply your learning to scenarios faced by data engineers in leading industries.Step-by-Step Guides: Detailed instructions to walk you through complex data engineering processes.Tool Mastery: In-depth coverage of popular platforms such as AWS, Azure, Databricks, and SQL databases.Best Practices: Learn how to design, optimize, and maintain efficient data pipelines. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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IoT-Based Data Analytics for the Healthcare Industry : Techniques and Applications
Published by Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128214724 ISBN 13: 9780128214725
Language: English
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 340 | Sprache: Englisch | Produktart: Bücher.
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IoT-Based Data Analytics for the Healthcare Industry: Techniques and Applications
Published by Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128214724 ISBN 13: 9780128214725
Language: English
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Iot-based Data Analytics for the Healthcare Industry : Techniques and Applications
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IoT-Based Data Analytics for the Healthcare Industry: Techniques and Applications (Intelligent Data-Centric Systems)
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Iot-based Data Analytics for the Healthcare Industry : Techniques and Applications
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Iot Based Data Analytics for the Healthcare Industry: Techniques and Applications
Published by Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128214724 ISBN 13: 9780128214725
Language: English
£ 131.90
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Add to basketCondition: New. InhaltsverzeichnisrnrnSECTION I: Health IoT data analytics 1. Internet of things in the healthcare industry 2. IoT healthcare architecture 3. Characteristics of IoT health data 4. Health data analytics using Internet of things 5. Compu.
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Advances in Artificial-Business Analytics and Quantum Machine Learning : Select Proceedings of the 3rd International Conference, Com-IT-Con 2023, Volume 1
Published by Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10: 9819725070 ISBN 13: 9789819725076
Language: English
£ 157.83
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents select proceedings of the 3rd International Conference on 'Artificial-Business Analytics, Quantum and Machine Learning: Trends, Perspectives, and Prospects' (Com-IT-Con 2023) held at the Manav Rachna University in July 2023. It covers topics such as artificial intelligence and business analytics, virtual/augmented reality, quantum information systems, cyber security, data science, and machine learning. The book is useful for researchers and professionals interested in the broad field of communication engineering.
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Advances in Artificial-Business Analytics and Quantum Machine Learning
Published by Springer Nature Singapore, Springer Nature Singapore Sep 2024, 2024
ISBN 10: 9819725070 ISBN 13: 9789819725076
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book presents select proceedings of the 3rd International Conference on ¿Artificial-Business Analytics, Quantum and Machine Learning: Trends, Perspectives, and Prospects¿ (Com-IT-Con 2023) held at the Manav Rachna University in July 2023. It covers topics such as artificial intelligence and business analytics, virtual/augmented reality, quantum information systems, cyber security, data science, and machine learning. The book is useful for researchers and professionals interested in the broad field of communication engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 840 pp. Englisch.
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Advances in Artificial-Business Analytics and Quantum Machine Learning : Select Proceedings of the 3rd International Conference, Com-IT-Con 2023, Volume 2
Published by Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10: 9819748593 ISBN 13: 9789819748594
Language: English
£ 179.55
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book presents select proceedings of the 3rd International Conference on 'Artificial-Business Analytics, Quantum and Machine Learning: Trends, Perspectives, and Prospects' (Com-IT-Con 2023) held at the Manav Rachna University in July 2023. It covers the topics such as artificial intelligence and business analytics, virtual/augmented reality, quantum information systems, cybersecurity, data science, and machine learning. The book is useful for researchers and professionals interested in the broad field of artificial intelligence engineering.
