Fundamentals of Data Engineering: Plan and Build Robust Data Systems, Paperback
Cut through marketing hype when choosing data technologies, architecture, and processes
Fundamentals of Data Engineering: Plan and Build Robust Data Systems, Paperback
Numéro d'article: 56608385

Fundamentals of Data Engineering: Plan and Build Robust Data Systems, Paperback

Numéro d'article: 56608385

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Cut through marketing hype when choosing data technologies, architecture, and processes
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Ce qui se démarque

Comprehensive Guide
This book provides a thorough overview of data engineering principles, making it essential for both beginners and experienced professionals seeking to deepen their understanding of robust data systems.
Practical Insights
Filled with real-world examples, this resource equips readers with actionable strategies for planning, building, and maintaining effective data architectures relevant to today's data-centric environments.
Focus on Robustness
Emphasizing resilient data systems, the book addresses key challenges and solutions, ensuring that data engineers can create scalable and reliable systems that withstand the test of time.

Détails du produit

Get the paperback version of Fundamentals of Data Engineering: Plan and Build Robust Data Systems at Ubuy Switzerland for a comprehensive guide to data system planning and building.
  • Comprehensive view of data engineering practice for software engineers, data scientists, and analysts
  • Learn to plan and build systems using the data engineering lifecycle
  • Evaluate best technologies for data systems and downstream data consumers
  • Apply data generation, ingestion, orchestration, transformation, storage, and governance concepts
  • Get a concise overview of data engineering landscape and best practices
  • Incorporate data governance and security throughout the data engineering lifecycle
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateJuly, 2022
Pages447
Reading levelProfessional & Vocational
SubgenreData Science
Series titleNo Series
Edition1
PublisherO'Reilly Media
Original languagesEnglish
LanguageEnglish
Edu focusEngineering
Is collectibleN
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)7.00 x 0.91 x 9.19 in (17.8 x 2.3 x 23.3 cm)
Assembled product weight1.57 lb (710 grams)
Bisac subject headingComputers

À qui est-ce destiné ?

Suitable For
  • Aspiring Data Engineers

    Beginners looking to understand data systems and engineering principles will find this book invaluable for foundational knowledge.

  • Data Engineers in Transition

    Professionals migrating to data engineering from other tech fields will benefit from structured insights and practical approaches.

  • Technical Project Managers

    Managers who oversee data-related projects will gain a comprehensive understanding of data systems to improve project outcomes.

Not Suitable For
  • Complete Beginners

    Individuals without any technical background may struggle with concepts presented, requiring more introductory resources first.

  • Advanced Data Scientists

    Experienced professionals might find the content too basic and lacking in advanced topics or cutting-edge technologies.

  • Casual Readers

    Those seeking a light read or entertainment will likely find the technical nature of the book unengaging.

DESCRIPTION DU PRODUIT

Fundamentals of Data Engineering: Plan and Build Robust Data Systems, Paperback

About This Item

Take your data engineering skills to the next level with the Fundamentals of Data Engineering: Plan and Build Robust Data Systems Paperback. Whether you're a beginner looking to gain a solid foundation in data engineering or an experienced professional hoping to enhance your skills, this book has everything you need to succeed. From understanding the basic concepts of data engineering to implementing best practices, this comprehensive guide covers it all. Learn about the tools and techniques used in data engineering, including data management, data integration, and data modeling.

Discover how to build robust data systems that can handle large volumes of data and scale with your growing business. The Fundamentals of Data Engineering also delves into specific topics that are crucial in today's data-driven world. Explore data engineering for e-commerce, including data warehousing, data modeling for e-commerce, and real-time data engineering. Discover how to leverage machine learning for data engineering and how to optimize data engineering pipelines for maximum performance. Not only does this book cover the technical aspects of data engineering, but it also explores the strategic side.

Learn how data engineering can provide a competitive advantage for your business and how it can be used for decision making and analytics. Understand the importance of data governance in e-commerce and how to ensure data quality and integrity. Written by experts in the field, the Fundamentals of Data Engineering: Plan and Build Robust Data Systems Paperback is a must-have resource for anyone looking to excel in the world of data engineering. Dive into the world of data engineering and take your skills to new heights.

Order your copy today and start building robust data systems that will drive your business to success.

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

  • question: What does the book cover?

    répondre: The book covers the entire data engineering lifecycle and provides an overview of the data engineering landscape.
  • question: How can this book help me?

    répondre: This book will help you plan, build, and evaluate systems to meet your organization's data engineering needs.
  • question: Is data governance covered in the book?

    répondre: Yes, the book covers data governance and security throughout the data engineering lifecycle.

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Avantages

  • Comprehensive coverage of data systems
  • Clear and engaging writing style
  • Useful real-world examples
  • Practical tips and techniques
  • Great for beginners and pros

Les inconvénients

  • Some topics could use more depth.

Historique des prix du produit

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