Data Engineering: ETL (Extract – Transform – Load) Overview

Understanding the backbone of every data-driven organization, a “starter kit” for anyone entering the world of Data Engineering

Modern organizations breathe data. Behind every dashboard, every metric, every “data-driven decision”, there’s a hidden machinery ensuring the right data flows in the right format to the right place. That machinery is ETL (Extract – Transform – Load), one of the foundational pillars of data engineering.

etl-overview

Today I will expand those definitions into a cohesive, narrative-style guide to help you grasp ETL intuitively, and more understand how these concepts show up in real-world systems.

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Vue + Node.js example

In this post, I will show you some Github examples that use Vue with Node.js backend. You will see Github links for making following projects:

  • Vue + Node.js with MySQL
  • Vue + Node.js with PostgreSQL
  • Vue + Node.js with MongoDB
  • Vue + Node.js with SQL Server (MSSQL)
  • Vue + Node.js: JWT Authentication and Authorization

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Angular + Node Express

In this post, I will show you some examples that use Angular 8/10/11/12/13/14/15/16 with Node Express backend. You will see Github links for making following projects:

  • Angular + Node App with MySQL
  • Angular + Node App with PostgreSQL
  • Angular + Node App with MongoDB
  • Angular + Node App with SQL Server (MSSQL)
  • Angular + Node: JWT Authentication and Authorization

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React + Node App

In this post, I will show you some examples that use React App with Node backend. You will see Github links for making following projects:

  • React + Node App with MySQL
  • React + Node App with PostgreSQL
  • React + Node App with MongoDB
  • React + Node App with SQL Server (MSSQL)
  • React + Node: JWT Authentication and Authorization

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