Introduction to Data Engineering
Chapter 1: What is Data Engineering?
Defining Data Engineering
The Role of a Data Engineer
Data Engineering vs Data Science vs Data Analysis
The Data Lifecycle
Common Data Engineering Tasks
Why Data Engineering Matters for AI
Chapter 2: Foundational Concepts
Understanding Data Types
Data Sources and Collection Methods
Introduction to Databases
Data Warehouses Explained
Data Lakes Explained
Introduction to APIs for Data Retrieval
Hands-on Practical: Identifying Data Types
Chapter 3: Building Your First Data Pipeline
What is a Data Pipeline?
ETL Process Explained
ELT Process Explained
Data Extraction Techniques
Basic Data Transformation Operations
Loading Data into Storage
Simple Pipeline Orchestration Concepts
Practice: Sketching a Basic Pipeline
Chapter 4: Data Storage Fundamentals
Choosing the Right Data Storage
Working with Relational Databases (SQL Basics)
Introduction to NoSQL Databases
Understanding File Storage Systems
Object Storage Basics
Common Data Formats
Practice: Setting up a Simple Database Table
Chapter 5: Introduction to Data Processing
Batch Processing Explained
Stream Processing Explained
Processing Frameworks Overview
Understanding Compute Resources
Data Cleaning Basics
Data Validation Techniques
Practice: Simple Data Cleaning Script
Chapter 6: Essential Tools for Data Engineers
Introduction to SQL for Data Manipulation
Version Control with Git for Code
Command-Line Interface (CLI) Basics
Overview of Cloud Platforms
Introduction to Workflow Schedulers
Practice: Basic Git Commands
Chapter 7: Next Steps in Data Engineering
Areas for Further Learning
Building a Portfolio Project Idea
Contributing to Open Source
Keeping Up with New Tools
Recap of Course Concepts
What is Data Engineering?
This chapter defines the field of data engineering. We establish what data engineering involves and its position relative to other data roles. A clear grasp of these basics provides the necessary context for the techniques discussed later.
In this chapter, you will cover:
- The definition and scope of data engineering.
- The specific tasks and responsibilities of a data engineer.
- Distinctions and overlaps between data engineering, data science, and data analysis.
- The sequence of stages in the data lifecycle.
- The foundational role data engineering performs for AI applications.
Sections
1.1 Defining Data Engineering
1.2 The Role of a Data Engineer
1.3 Data Engineering vs Data Science vs Data Analysis
1.4 The Data Lifecycle
1.5 Common Data Engineering Tasks
1.6 Why Data Engineering Matters for AI
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