Fundamentals Of Data Engineering
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Fundamentals of Data Engineering
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll 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. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology. This book will help you: Get a concise overview of the entire data engineering landscape Assess data engineering problems using an end-to-end framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle
97 Things Every Data Engineer Should Know
Author: Tobias Macey
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2021-06-11
Take advantage of the sky-high demand for data engineers today. With this in-depth book, current and aspiring engineers will learn powerful, real-world best practices for managing data big and small. Contributors from Google, Microsoft, IBM, Facebook, Databricks, and GitHub share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey from MIT Open Learning, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers. Projects include: Building pipelines Stream processing Data privacy and security Data governance and lineage Data storage and architecture Ecosystem of modern tools Data team makeup and culture Career advice.
Fundamentals of Data Engineering Essential Guide
Author: Versatile Reads
language: en
Publisher: Independently Published
Release Date: 2025-06-03
Fundamentals of Data Engineering - Essential Guide Master the Core Concepts of Data Engineering - The Backbone of Modern Data-Driven Enterprises Are you ready to break into the fast-growing world of data engineering or strengthen your foundational knowledge with an all-in-one, concise, and expertly crafted guide? This Essentials Guide on the Fundamentals of Data Engineering provides a comprehensive, beginner-friendly roadmap to understanding how raw data is transformed into powerful business insights. Whether you're a student, aspiring data engineer, data analyst, or tech-savvy professional, this book offers clear explanations and actionable insights across the entire data pipeline. What's Inside 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. Why This Guide Stands Out 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 Unlock the power of modern data workflows and take your first step into one of tech's most in-demand careers.