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Fundamentals of Data Engineering Essential Guide: 1st Edition - 2025
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Publisher: Independently Published
Published: Jun 3 2025
Pages: 280
Weight: 1.08
Height: 0.59 Width: 7.00 Depth: 10.00
Language: English
- Chapter 01: Data Engineering Described - Grasp the role of data engineers in today's tech landscape.
- Chapter 02: The Data Engineering Lifecycle - Explore each phase of the modern data workflow.
- Chapter 03: Designing Good Data Architecture - Learn the key principles of scalable, reliable architecture.
- Chapter 04: Choosing Technologies - Compare tools and platforms across the lifecycle.
- Chapter 05-08: From Source to Transformation - Dive deep into data generation, storage, ingestion, and transformation techniques.
- Chapter 09: Serving Data for Analytics, ML & Reverse ETL - Unlock the real value of your data.
- Chapter 10: Security and Privacy - Build secure, compliant data systems.
- Chapter 11: The Future of Data Engineering - Stay ahead with trends like real-time processing and data mesh.
- Written in clear, accessible language with real-world relevance
- Covers the entire lifecycle from data generation to consumption
- Helps you confidently explore career paths, tools, and techniques in data engineering
- A perfect companion for bootcamps, academic courses, or self-study
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