物品 #:
225517826
Data Engineering Best Practices: Architecture tools and techniques for the data analytics lifecycle (English Edition)
86% of respondents would recommend this to a friend
物品 #:
225517826
HKD 476
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By the end of this book, the readers will possess the competency to build, design, and operate end-to-end data platforms.
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What Stands Out
Comprehensive Coverage
This book covers essential architecture, tools, and techniques for data engineering, making it an invaluable resource for both beginners and professionals in the data analytics lifecycle.
Practical Insights
It offers practical insights and best practices, helping readers effectively tackle real-world data challenges and optimize their data workflows for greater efficiency.
Industry-Relevant Techniques
With a focus on up-to-date methodologies, this guide equips readers with industry-relevant techniques, ensuring they remain competitive in the rapidly evolving field of data analytics.
產品詳情
| Publisher | BPB Publications |
| Publication date | 30 Jan. 2026 |
| Language | English |
| Print length | 356 pages |
| ISBN-10 | 9365894611 |
| ISBN-13 | 978-9365894615 |
| Dimensions | 19.05 x 2.06 x 23.5 cm |
Who Should Buy?
-
Data Engineers
Provides essential methodologies and tools to enhance skill sets and improve data pipelines and architecture design.
-
Analytics Professionals
Help in understanding the data lifecycle, making it easier to analyze and extract insights from complex datasets.
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Business Analysts
Equips them with best practices for data management and analytics, facilitating better decision-making based on data insights.
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Beginners in Data
May find the content too advanced, requiring foundational knowledge or practical experience in data engineering concepts first.
產品敘述
Data Engineering Best Practices: Architecture tools and techniques for the data analytics lifecycle (English Edition)
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English edition Luiz Fernando F Dos Santos Editorial Review
Data Engineering Best Practices: Architecture Tools And Techniques For The Data Analytics Lifecycle (English Edition) is a comprehensive guide published by BPB Publications that spans 356 pages. Released on 30 Jan. 2026, this book is tailored for those looking to deepen their knowledge in data engineering. With clear architecture tools and techniques, it’s designed to advance your understanding of the data analytics lifecycle. Readers will appreciate the structured approach and practical applications found within its pages, offering insights that can be implemented in real-world scenarios.
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優點
- Detailed methodology for data engineering practices
- Clear explanations of technical concepts
- Practical applications for real-world scenarios
- Comprehensive coverage of data analytics lifecycle
- Well-structured and easy to follow
缺點
- Some readers may find it a bit technical
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HKD 476
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特色和優勢
- Learn the core responsibilities of modern data engineers.
- Design robust analytics and data platform architectures.
- Model data for performance, clarity, and governance.
- Secure, test, and automate pipelines with CI/CD methodologies.
- Understand both ETL and ELT processes effectively.
- Gain practical insights to support data-driven decision-making.
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