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Fundamentals of Data Engineering: Plan and Build Robust Data Systems
GTQ 473
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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
Detalles de producto
- 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
| Item Weight | 1.1 lbs (500 grams) |
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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Non-Technical Users
Not recommended for users without technical backgrounds or interest, as it covers complex engineering principles.
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Casual Readers
Unsuitable for those seeking light reading or casual insights, as it focuses on applied technical knowledge.
DESCRIPCIÓN DEL PRODUCTO
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Preguntas y respuestas de los clientes
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Pregunta:
Who is this book for?
Respuesta: This book is for software engineers, data scientists, and analysts looking for a comprehensive view of data engineering. -
Pregunta:
What does the book cover?
Respuesta: The book covers the data engineering lifecycle, including data generation, ingestion, orchestration, transformation, storage, and governance. -
Pregunta:
What will readers learn from this book?
Respuesta: 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
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GTQ 473
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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.
características y beneficios
- 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