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Accumulated knowledge and experience in the field of Data Engineering

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Data Engineering Book

Accumulated knowledge and experience in the field of Data Engineering

Data engineering book cover

Table of content

  1. Introduction to Data Engineering
    1. What is Data Engineering?
    2. Data Engineering Roadmap?
    3. Useful resources for Data Engineers
  2. Beginner path
    1. Intro to databases
    2. SQL for beginners
  3. Big Data path
  4. Data Architect path

About this book

The book covers different aspects of Data Engineering, from basic topics like databases, SQL and ETL to advanced like data architecture and Big Data stacks.

But it is still under development. It has no strict set of topics I want to cover, but it will be pretty close to what I've described in my Data Engineering Roadmap.

How to read this Book

If you are an absolute novice – start with introduction to Data Engineering. I will explain who are data engineers, what tasks they perform, which skill are required etc.

If you already decided to learn data engineering, but don't know where to start – head on to the Data Engineering roadmap. There I show three paths you can take, from absolute beginner to advanced levels.

Lastly, if you know what exactly you want to learn then head to the table of content and find the most interesting topics for you.



If you have any feedback or other questions, please refer to this form.

About author

My name is Oleg Agapov and I'm a data analyst.

I work with data, analytics, engineering and sometimes magic ✨

twitter: @olegagapov


You may freely copy and distribute portions of this book as long as you give appropriate credit and indicate if changes were made. You cannot use this book for any commercial purpose.

Copyright ©2020 Oleg Agapov.

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