Resources
Books:
-
“Fundamentals of Data Engineering” by Joe Reis & Matt Housley
- Data Engineering Lifecycle
- Data Architecture & Infrastructure
- Data Generation & Storage
- Security & Privacy
- Best Practices & Design Patterns
-
“Designing Data-Intensive Applications” by Martin Kleppmann
- Distributed Systems
- Data Models
- Storage Engines
- Data Processing
- System Reliability
-
“The Data Warehouse Toolkit” by Ralph Kimball
- Dimensional Modeling
- ETL Best Practices
- Data Warehouse Architecture
- Business Intelligence Design
Online Courses & Certifications:
-
AWS Certified Data Analytics Specialty
- Collection
- Storage
- Processing
- Analysis
- Visualization
-
Coursera: IBM Data Engineering Professional Certificate
- Python Programming
- Databases (SQL & NoSQL)
- ETL & Data Pipelines
- Big Data Tools
Blogs & Websites:
-
Towards Data Science (Medium)
- Technical Tutorials
- Industry Best Practices
- Tool Comparisons
- Case Studies
-
Seattle Data Guy
- AWS Solutions
- Python Tips
- Architecture Patterns
- Career Advice
-
Data Engineering Weekly Newsletter
- Industry Updates
- New Tools
- Best Practices
- Job Opportunities
YouTube Channels:
-
Seattle Data Guy
- AWS Tutorials
- System Design
- Tool Demonstrations
-
Andreas Kretz
- Data Engineering Project Tutorials
- Tool Comparisons
- Career Guidance
Tools & Technologies:
-
Data Processing
- Apache Spark
- Apache Airflow
- dbt
- AWS Glue
-
Data Storage
- Amazon S3
- Amazon Redshift
- PostgreSQL
- MongoDB
-
Data Streaming
- Apache Kafka
- Amazon Kinesis
- Apache Flink
-
Data Visualization
- Apache Superset
- Tableau
- Power BI
Architectures & Concepts:
-
Data Lake Architecture
- Bronze/Silver/Gold Layers
- Data Quality
- Governance
- Security
-
Modern Data Stack
- ELT vs ETL
- Data Warehouse
- Data Mesh
- Data Fabric
-
AWS Specific
- Lake Formation
- EMR
- Athena
- QuickSight
Practice Resources:
-
GitHub Projects
- Example Data Pipelines
- Infrastructure as Code
- Best Practices Implementation
-
Online Platforms
- DataCamp
- Leetcode
- HackerRank