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Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Item #: 115753719

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Item #: 115753719

PKR 18774

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Learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
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What Stands Out

Comprehensive Guide
Covers essential concepts of data engineering, from planning to building systems, providing a solid foundation for novice and experienced practitioners alike.
Practical Insights
Includes real-world examples and case studies that demonstrate effective strategies, allowing readers to apply learned principles directly to their projects.
Up-to-Date Techniques
Incorporates modern tools and methodologies, ensuring readers are equipped with the latest skills necessary for today's data-centric environment.

Product Details

Get the 1st Edition of Fundamentals of Data Engineering, a comprehensive guide to plan and build robust data systems. Buy now at Ubuy Pakistan!
  • Comprehensive view of data engineering lifecycle and best practices
  • Learn to plan and build systems using cloud technologies
  • Understand data generation, ingestion, orchestration, transformation, storage, and governance
  • Cut through marketing hype when choosing data technologies and architecture
  • Incorporate data governance and security across the data engineering lifecycle
  • Target audience includes software engineers, data scientists, data analysts, and technical practitioners
Item Weight1.1 lbs (500 grams)

Who Should Buy?

Suitable For
  • Aspiring Data Engineers

    Perfect for beginners looking to understand data system design and implementation basics for their future careers.

  • Technical Managers

    Useful for managers overseeing data projects, helping them understand fundamental concepts for better team leadership.

  • Data Enthusiasts

    Ideal for individuals passionate about data who want to deepen their understanding of engineering methodologies and best practices.

Not Suitable For
  • Experienced Professionals

    May not be suitable for seasoned engineers seeking advanced topics beyond foundational data engineering concepts.

  • Non-Technical Users

    Not recommended for users without technical backgrounds or interest, as it covers complex engineering principles.

  • Casual Readers

    Unsuitable for those seeking light reading or casual insights, as it focuses on applied technical knowledge.

Product Description

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

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Customer Questions & Answers

  • Question: What is 'Fundamentals of Data Engineering' about?

    Answer: 'Fundamentals of Data Engineering: Plan and Build Robust Data Systems' provides a comprehensive introduction to the core principles and practices of data engineering. It covers topics including data architecture, data warehousing, and the technologies and tools used to build scalable data systems.
    Category: overview
    Confidence: high
  • Question: Who is the author of this book?

    Answer: The book is authored by Joe Reis and Matt Housley, who are experienced professionals in the field of data engineering.
    Category: overview
    Confidence: high
  • Question: What topics are covered in this book?

    Answer: The book addresses key topics such as data pipelines, data modeling, ETL processes, and data governance. It also delves into modern data technologies like cloud computing and big data frameworks.
    Category: overview
    Confidence: high
  • Question: Is there a companion website or resources available?

    Answer: There are no official companion websites mentioned specifically for the book; however, additional resources like online courses and workshops may be available through the authors' professional channels.
    Category: other
    Confidence: medium
  • Question: What is the format of the book?

    Answer: The book is available in various formats, including paperback, eBook, and possibly audiobook versions, depending on the retailer.
    Category: other
    Confidence: medium
  • Question: What is the publication date of this edition?

    Answer: The 1st edition of 'Fundamentals of Data Engineering' was published on August 16, 2022.
    Category: overview
    Confidence: high
  • Question: Who is this book suitable for?

    Answer: This book is suitable for aspiring data engineers, data scientists, and anyone looking to gain a foundational understanding of data systems and engineering principles.
    Category: overview
    Confidence: high
  • Question: Are there any prerequisites for reading this book?

    Answer: While there are no strict prerequisites, a general understanding of programming and basic data concepts may enhance the reading experience.
    Category: overview
    Confidence: medium
  • Question: How is the information organized in the book?

    Answer: The book is organized into chapters focusing on specific aspects of data engineering, combining theory with practical examples to illustrate concepts effectively.
    Category: overview
    Confidence: high
  • Question: Can this book help prepare for data engineering interviews?

    Answer: Yes, the concepts covered in this book can help readers prepare for data engineering interviews by providing essential knowledge and skills relevant to the role.
    Category: overview
    Confidence: medium
  • Question: Is there an index or glossary in the book?

    Answer: Yes, the book includes an index and glossary to help readers navigate the material and clarify key terms related to data engineering.
    Category: overview
    Confidence: high
  • Question: Does the book include practical exercises or projects?

    Answer: Yes, the book features practical exercises and projects designed to reinforce the concepts discussed in each chapter, providing hands-on experience in data engineering.
    Category: usage
    Confidence: high
  • Question: Are there differences between this edition and future editions?

    Answer: As this is the first edition, any future editions may include updated content, new technologies, or additional chapters based on evolving industry trends.
    Category: other
    Confidence: medium
  • Question: How long is the book?

    Answer: The book has approximately 300 pages, making it a comprehensive yet accessible resource for understanding data engineering.
    Category: specs
    Confidence: high

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