Introduction to ETL Pipelines
Chapter 1: Understanding ETL Fundamentals
What is Data Integration?
Introducing ETL: Extract, Transform, Load
The Purpose of ETL Processes
Distinguishing ETL from ELT
Common Data Sources and Targets
Identifying ETL Requirements
Chapter 2: The Extraction Stage
Connecting to Data Sources
Full Extraction vs. Incremental Extraction
Working with Structured Data (e.g., Databases, CSV)
Introduction to Semi-Structured Data (e.g., JSON, XML)
Change Data Capture (CDC) Concepts
Handling Extraction Errors
Practice: Simulating Data Extraction
Chapter 3: The Transformation Stage
Why Data Transformation is Necessary
Data Cleaning: Handling Missing Values
Data Cleaning: Correcting Errors
Data Validation Rules
Data Formatting and Standardization
Data Enrichment: Adding Information
Data Structuring: Joining and Splitting Data
Introduction to Data Aggregation
Practice: Applying Simple Transformations
Chapter 4: The Loading Stage
Choosing a Target System
Loading Strategies: Full Load
Loading Strategies: Incremental Load (Append/Update)
Understanding Target Schemas
Schema Mapping: Source to Target
Handling Loading Failures
Data Validation Post-Load
Practice: Data Loading
Chapter 5: Building Simple ETL Pipelines
What is an ETL Pipeline?
Pipeline Workflow and Dependencies
Introduction to ETL Tools Categories
Visual ETL Tools Overview
Scripting for ETL Overview
Scheduling and Automation Basics
Monitoring and Logging Fundamentals
Hands-on Practical: Designing a Simple Pipeline
Understanding ETL Fundamentals
This chapter introduces the fundamental ideas behind Extract, Transform, Load (ETL). Before building pipelines, it's necessary to understand what ETL is and why it's used in data processing. We will look at how ETL fits into the broader picture of data integration.
You will learn to:
- Define data integration and the specific role of ETL.
- Break down the ETL acronym: Extract, Transform, and Load.
- Understand the primary reasons organizations use ETL processes.
- Recognize the basic difference between ETL and the related ELT pattern.
- Identify common types of data sources and target systems involved in ETL.
- Outline how to determine the basic needs for an ETL task.
By the end of this chapter, you will have a clear definition of ETL and its place in managing and preparing data.
Sections
1.1 What is Data Integration?
1.2 Introducing ETL: Extract, Transform, Load
1.3 The Purpose of ETL Processes
1.4 Distinguishing ETL from ELT
1.5 Common Data Sources and Targets
1.6 Identifying ETL Requirements
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