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- Fundamentals of Data Engineering: Plan and Bu...
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115753719
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
89% of respondents would recommend this to a friend
Elementas #:
115753719
€ 50
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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.
Produkto Aprašymas
| Publisher | O'Reilly Media |
| Publication date | July 26, 2022 |
| Edition | 1st |
| Language | English |
| Print length | 447 pages |
| ISBN-10 | 1098108302 |
| ISBN-13 | 978-1098108304 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7 x 1 x 9.25 inches (17.8 x 2.5 x 23.5 cm) |
Who Should Buy?
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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.
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Data Enthusiasts
Ideal for individuals passionate about data who want to deepen their understanding of engineering methodologies and best practices.
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Experienced Professionals
May not be suitable for seasoned engineers seeking advanced topics beyond foundational data engineering concepts.
PRODUKTO APRAŠYMAS
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
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Data Modeling & Design Editorial Review
Fundamentals of Data Engineering: Plan and Build Robust Data Systems is an insightful resource published by O'Reilly Media designed for a diverse audience involved in data professions. The book excels in being tool-agnostic, a quality highly praised in reviews, which allows readers to grasp essential data engineering concepts without tying them to specific technologies. The authors, Joe Reis and Matt Houser, leverage their vast experience to lay out a solid framework for understanding data systems, making it suitable for both newcomers and seasoned professionals. While some readers note that it doesn’t provide a cohesive narrative, it offers invaluable insights into topics like architecture, security, and stakeholder management, catering to those eager to improve their grasp of data engineering.
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Argumentai
- Tool-agnostic approach facilitates broader learning
- Excellent resource for both beginners and experts
- Covers essential concepts in data architecture
- Strong insights into security and ROI
- Well-structured for varied audience backgrounds
Minusai
- Some topics feel repetitive or unevenly covered
Product Price History
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