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Item #:
59364361
Fundamentals of Data Engineering: Plan and Build Robust Data Systems 1st Edition
Item #:
59364361
BDT 7451
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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 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.
Product Details
- 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
This book provides foundational knowledge crucial for those starting their career in data engineering.
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Data Professionals
Professionals looking to enhance their skills in building and managing data systems will find valuable insights.
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Project Managers
Managers overseeing data projects can benefit from understanding data engineering principles and best practices.
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Beginners in Tech
Complete beginners may find the content challenging without prior knowledge of data concepts and engineering.
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Advanced Data Scientists
Experienced data scientists may not find new information, as the focus is on engineering rather than analysis.
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Business Executives
Executives may prefer strategy-focused resources rather than technical manuals on data systems' construction.
Product Description
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Customer Questions & Answers
-
Question:
Who is this book for?
Answer: This book is for software engineers, data scientists, and analysts looking for a comprehensive view of data engineering. -
Question:
What does the book cover?
Answer: The book covers the data engineering lifecycle, including data generation, ingestion, orchestration, transformation, storage, and governance. -
Question:
What will readers learn from this book?
Answer: Readers will learn how to plan and build robust data systems by evaluating the best technologies and following best practices throughout the data engineering lifecycle.
Data Modeling & Design Editorial Review
"Fundamentals of Data Engineering: Plan and Build Robust Data Systems 1st Edition" is a book that aims to present a full picture of the whole data science pipeline through the data engineering lens. However, some customers found the book unnecessarily long and unengaging in its presentation. They also criticized the authors' lack of discussion about how data science, particularly in its modeling and algorithm sense, fits into data engineering. Despite these criticisms, some customers found the book well-organized, easy to read, and with many insights in every chapter. They also praised the authors' conversational tone and their ability to provide a good balance between the main framework of data engineering and new concepts in the field.
Customer Reviews & Ratings
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Pros
- Well-organized
- Easy to read
- Provides insights in every chapter
- Presents a good balance between the main framework of data engineering and new concepts in the field
- Written in a conversational tone
Cons
- Some customers found the book unnecessarily long and unengaging in its presentation
Product Price History
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BDT 7451
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
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Features & Benefits
- 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