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Fundamentals of Data Engineering: Plan and Build Robust Data Systems
MYR 333
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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
Maklumat produk
- 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
| 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.
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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.
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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.
Customer Reviews & Ratings
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5 bintang
82%
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4 bintang
11%
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3 bintang
5%
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2 bintang
1%
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1 bintang
1%
Ulas Produk Ini
Kongsikan pandangan anda dengan pelanggan lain
Kebaikan
- 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
Keburukan
- Some topics feel repetitive or unevenly covered
Top selling Data Engineering in Malaysia
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MYR 333
Pesan sekarang dan dapatkannya lebih kurang pada Sabtu, September 19
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Ciri & Faedah
- 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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