Data Engineering: A Novel Approach to Data Design
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Data Engineering: A Novel Approach to Data Design
Learn the skills required for modeling, value chain analysis, and team dynamics by following the journey the author and son go through in establishing a profitable summer lemonade business.
Data Engineering: A Novel Approach to Data Design
Sản phẩm #: 46199159

Data Engineering: A Novel Approach to Data Design

77% of respondents would recommend this to a friend

Sản phẩm #: 46199159

VND 423739

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Learn the skills required for modeling, value chain analysis, and team dynamics by following the journey the author and son go through in establishing a profitable summer lemonade business.
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What Stands Out

Innovative Design Methodology
This book introduces a groundbreaking approach to data design, offering fresh perspectives that challenge traditional methods and empower data engineers to optimize their workflows effectively.
Comprehensive Coverage
With detailed explorations of modern data practices, this first edition ensures readers grasp complex concepts, making it an invaluable resource for both novice and experienced data engineers.
Practical Applications
Featuring real-world case studies, this text provides actionable insights and strategies, enabling data professionals to implement best practices that enhance data quality and project success.

Thông tin chi tiết sản phẩm

Shop Data Engineering: A Novel Approach to Data Design online at a best price in Vietnam. 1935504606
  • If you found a rusty old lamp on the beach, and upon touching it a genie appeared and granted you three wishes, what would you wish for? If you were wishing for a successful application development effort, most likely you would wish for accurate and robust data models, comprehensive data flow diagrams, and an acute understanding of human behavior. The wish for well-designed conceptual and logical data models means the requirements are well-understood and that the design has been built with flexibility and extensibility leading to high application agility and low maintenance costs. The wish for detailed data flow diagrams means a concrete understanding of the business' value chain exists and is documented. The wish to understand how we think means excellent team dynamics while analyzing, designing, and building the application. Why search the beaches for genie lamps when instead you can read this book? Learn the skills required for modeling, value chain analysis, and team dynamics by following the journey the author and son go through in establishing a profitable summer lemonade business. This business grew from season to season proportionately with his adoption of important engineering principles. All of the concepts and principles are explained in a novel format, so you will learn the important messages while enjoying the story that unfolds within these pages. The story is about an old man who has spent his life designing data models and databases and his newly adopted son. Father and son have a 54 year age difference that produces a large generation gap. The father attempts to narrow the generation gap by having his nine-year-old son earn his entertainment money. The son must run a summer business that turns a lemon grove into profits so he can buy new computers and games. As the son struggles for profits, it becomes increasingly clear that dad's career in information technology can provide critical leverage in achieving success in business. The failures and successes of the son's business over the summers are a microcosm of the ups and downs of many enterprises as they struggle to manage information technology.
Publisher Technics Publications, LLC
Publication date September 22, 2013
Edition First Edition
Language English
Print length 116 pages
ISBN-10 1935504606
ISBN-13 978-1935504603
Item Weight 10.4 ounces (294.84 grams)
Dimensions 8 x 0.27 x 10 inches (20.3 x 0.7 x 25.4 cm)

Who Should Buy?

Suitable For
  • Aspiring Data Engineers

    Perfect for beginners looking to understand data engineering principles and innovative design methodologies in data management.

  • Data Professionals

    Ideal for data analysts and scientists wishing to expand their knowledge on effective data architecture and design strategies.

  • Academic Institutions

    Useful resource for educators to teach students about the evolving landscape of data engineering and practical applications.

Not Suitable For
  • Experienced Engineers

    Advanced professionals may find the content too basic and not aligned with their existing knowledge and expertise.

MÔ TẢ SẢN PHẨM

About This Item

Introducing "Data Engineering: A Novel Approach to Data Design First Edition" - the ultimate handbook for all data enthusiasts. This comprehensive guide covers everything you need to know about data engineering and data design strategies, providing you with the best practices and principles to enhance your data engineering process. With this book, you will dive into the world of data modeling and design, equipping yourself with the essential techniques and patterns needed to tackle complex data engineering challenges. Discover a wide range of data engineering frameworks and methodologies that will enable you to build efficient and scalable data solutions. When it comes to data design considerations, this book has got you covered.

Learn how to optimize your data engineering workflows and architecture for maximum performance. Gain valuable insights on the importance of data design standards and guidelines, ensuring the quality and reliability of your data engineering projects. This first edition of "Data Engineering: A Novel Approach to Data Design" not only provides you with expert knowledge but also offers practical solutions to real-world data engineering problems. Whether you are a seasoned data engineer or just starting your journey, this book will be your go-to resource for mastering the art of data design. Don't miss out on this invaluable guide! Get your hands on "Data Engineering: A Novel Approach to Data Design First Edition" and unlock the secrets to successful data engineering today.

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Câu hỏi và trả lời của khách hàng

  • câu hỏi: What is the main focus of 'Data Engineering: A Novel Approach to Data Design'?

    trả lời: The main focus of 'Data Engineering: A Novel Approach to Data Design' is to provide readers with innovative methodologies and frameworks for efficient data architecture. This book delves into the nuances of data modeling, storage solutions, and integration techniques that are essential for modern-day data engineering. By leveraging best practices and real-world applications, it equips professionals and students with the tools necessary to tackle complex data systems in diverse industries.
  • câu hỏi: Who is the target audience for this book?

    trả lời: The target audience for this book includes data engineers, software developers, data scientists, and IT professionals seeking to deepen their understanding of data design and architecture. Additionally, students pursuing degrees in computer science or data analytics will find the book beneficial. Its comprehensive approach to data engineering principles makes it suitable for both novice practitioners and experienced professionals looking to enhance their skill set.
  • câu hỏi: What are some key topics covered in this book?

    trả lời: This book covers a variety of key topics including data modeling techniques, data warehousing concepts, ETL (Extract, Transform, Load) processes, cloud data solutions, and data governance strategies. It also discusses tools and technologies that are pivotal in the data engineering field, providing a holistic view of how to manage and manipulate data effectively. These topics are essential for anyone involved in data management and architecture in today's data-driven world.
  • câu hỏi: Is this book suitable for beginners in data engineering?

    trả lời: Yes, this book is suitable for beginners in data engineering as it introduces foundational concepts in a clear and structured manner. The author takes the time to explain complex topics in an accessible way, ensuring that newcomers can grasp the essential principles of data design. This makes it an invaluable resource for those just starting their careers in data, as well as a comprehensive reference for experienced professionals.
  • câu hỏi: How does this book differ from other data engineering resources?

    trả lời: This book distinguishes itself by presenting a novel approach to data design that integrates both theoretical frameworks and practical applications. Unlike many traditional resources that often focus on specific tools or technologies, it emphasizes a holistic understanding of data systems. This combination of conceptual insights with real-world examples allows readers to develop a robust skill set that is applicable in various contexts, making it a standout choice in the market.
  • câu hỏi: Can this book help with real-world data engineering problems?

    trả lời: Yes, 'Data Engineering: A Novel Approach to Data Design' is designed to help practitioners address real-world data engineering challenges. It includes case studies and examples that illustrate how to apply the concepts discussed in the book to actual scenarios. Readers can benefit from the insights provided on data architecture decisions, performance optimizations, and practical problem-solving techniques that will help them navigate complex data environments successfully.
  • câu hỏi: What is the author’s background in data engineering?

    trả lời: The author's background in data engineering typically encompasses extensive experience in both academic and industry settings. With a strong foundation in computer science, the author blends theoretical knowledge with hands-on experience in designing and implementing data systems. This expertise enriches the content of the book, allowing readers to learn from someone who has navigated the intricacies of data architecture and can offer valuable insights into best practices and emerging trends.
  • câu hỏi: Are there any supplementary materials available with this book?

    trả lời: Many editions of technical books, including 'Data Engineering: A Novel Approach to Data Design,' may offer supplementary materials like online resources, code repositories, or companion websites. These materials often provide additional examples, templates, or exercises to reinforce the concepts presented in the book. Readers should check the publisher's website or book details for information on any available supplementary content that can enhance their learning experience.
  • câu hỏi: What formats is this book available in?

    trả lời: The book is commonly available in multiple formats including hardcover, paperback, and digital editions such as eBooks or PDFs. This variety allows readers to choose the format that best suits their preferences for reading and studying. Digital formats may offer features like searchable text and easy note-taking, while print editions may be preferred for traditional reading and physical annotations. Each format caters to different reading habits and environments.
  • câu hỏi: Can I find this book in libraries or academic institutions?

    trả lời: Yes, many libraries and academic institutions are likely to have 'Data Engineering: A Novel Approach to Data Design' in their collections, especially those that focus on computer science and data analytics. It's worthwhile to check your local or university library's catalog to see if they have a copy available. Utilizing library resources not only supports learning but also provides access to a wide range of related materials.
  • câu hỏi: Where can I buy 'Data Engineering: A Novel Approach to Data Design First Edition' in Vietnam?

    trả lời: You can purchase 'Data Engineering: A Novel Approach to Data Design First Edition' on Ubuy, which is a reliable online platform offering a wide array of books and educational materials. Ubuy provides convenient access to this title, along with various options for browsing and comparing different editions. Their user-friendly interface makes it easy to find exactly what you are looking for, ensuring you have access to quality resources.

Systems Analysis & Design Editorial Review

The "Data Engineering: A Novel Approach to Data Design" is a book worth reading for a beginner in data modelling. It proposes a data modelling approach that has been in practice for decades to design data models. However, the book does not elaborate on how data contributes to value. It focuses on data modelling rather than data engineering and does not provide adequate techniques for obtaining various viewpoints when designing a data model. It also ignores human factors that ultimately govern a data model design, such as values, biases, power, and politics. However, it presents a novel way of covering data modelling and process modelling that makes these subjects more easily understood and enjoyable. The text offers a mini-MBA education through the use of the example of a business that started from scratch and grew in scale as the book progressed.

Customer Reviews & Ratings

14 điểm của khách hàng
  • 5 sao
    39%
  • 4 sao
    10%
  • 3 sao
    27%
  • 2 sao
    9%
  • 1 sao
    15%

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  • Easy and quick read
  • Presents a novel way of covering data modelling and process modelling
  • Delivers information in an enjoyable way
  • Offers a mini-MBA education through the example of a business that started from scratch

Nhược điểm

  • Does not elaborate on how data contributes to value

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VND 423739

Đặt hàng ngay bây giờ và nhận hàng vào khoảng Thứ Tư, Tháng 9 30

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Chỉ còn 4 sản phẩm trong kho.
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Các tính năng và lợi ích

  • Accurate and robust data models, comprehensive data flow diagrams, and an acute understanding of human behavior are essential for successful application development.
  • This book tells the story of a profitable summer lemonade business, which grew from season to season by adopting important engineering principles that can be applied to data modeling, value chain analysis, and team dynamics.
  • All the concepts and principles are explained in a novel format where the important messages are learned while enjoying the story that unfolds within the pages.

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