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Fundamentals of Data Engineering: Plan and Build Robust Data Systems 1st Edition
ISK 8801
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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
Upplýsingar um vöru
- 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
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.
VÖRULÝSING
Fundamentals of Data Engineering: Plan and Build Robust Data Systems 1st Edition
Spurningar og svör viðskiptavina
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spurningu:
Who is this book for?
svara: This book is for software engineers, data scientists, and analysts looking for a comprehensive view of data engineering. -
spurningu:
What does the book cover?
svara: The book covers the data engineering lifecycle, including data generation, ingestion, orchestration, transformation, storage, and governance. -
spurningu:
What will readers learn from this book?
svara: 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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ISK 8801
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Eiginleikar og kostir
- 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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