Fundamentals of Data Engineering: Plan and Build Robust Data Systems 1st Edition
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems 1st Edition
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 1st Edition
Artikelnr.: 59364361

Fundamentals of Data Engineering: Plan and Build Robust Data Systems 1st Edition

Artikelnr.: 59364361

€ 54

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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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Besondere Merkmale

Comprehensive Coverage
This book details essential data engineering concepts, providing a thorough understanding from planning to building robust data systems, ideal for both novices and experienced practitioners in the field.
Practical Insights
Packed with real-world examples and best practices, it helps readers apply theoretical knowledge effectively, enabling them to create scalable and efficient data infrastructures in their own organizations.
Expert Authorship
Authored by industry experts, this book combines academic rigor with practical experience, ensuring readers gain insights that bridge the gap between theory and industry standards, enhancing their expertise and marketability.

Produktdetails

Get the 1st Edition of Fundamentals of Data Engineering, a comprehensive guide to plan and build robust data systems. Buy now at Ubuy Austria!
  • 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
Artikelgewicht1.1 lbs (500 grams)

Für wen ist das Produkt geeignet?

Suitable For
  • Aspiring Data Engineers

    This book provides foundational knowledge crucial for those starting their career in data engineering.

  • Data Professionals

    Professionals looking to enhance their skills in building and managing data systems will find valuable insights.

  • Project Managers

    Managers overseeing data projects can benefit from understanding data engineering principles and best practices.

Not Suitable For
  • Beginners in Tech

    Complete beginners may find the content challenging without prior knowledge of data concepts and engineering.

  • Advanced Data Scientists

    Experienced data scientists may not find new information, as the focus is on engineering rather than analysis.

  • Business Executives

    Executives may prefer strategy-focused resources rather than technical manuals on data systems' construction.

PRODUKTBESCHREIBUNG

Fundamentals of Data Engineering: Plan and Build Robust Data Systems 1st Edition

Haben Sie eine Frage? Mit uns chatten

Kunden Fragen und Antworten

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

    Antworten: '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.
    Kategorien: overview
    Confidence: high
  • Frage: Who is the author of this book?

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

    Antworten: 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.
    Kategorien: overview
    Confidence: high
  • Frage: Is there a companion website or resources available?

    Antworten: 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.
    Kategorien: other
    Confidence: medium
  • Frage: What is the format of the book?

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

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

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

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

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

    Antworten: 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.
    Kategorien: overview
    Confidence: medium
  • Frage: Is there an index or glossary in the book?

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

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

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

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

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€ 54

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Merkmale und Vorteile

  • Understand the data engineering lifecycle
  • Assess data engineering problems using best practices
  • Choose the right data technologies, architecture, and processes
  • Design and build a robust architecture
  • Incorporate data governance and security

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