Learn
Deep-dive into data engineering concepts, patterns, and best practices.
Guides
End-to-end tutorials and conceptual overviews:
Technology Stack
Detailed documentation on each layer of the modern data stack:
1. Extraction — Ingesting data from APIs, databases, and files
2. Streaming — Real-time data processing and event-driven architectures
3. Storage — Data lakes, object storage, and file formats
4. Compute and Query — Query engines and distributed processing
5. Transformation — dbt patterns, incremental models, and environments
6. Orchestration — Scheduling, sensors, and workflow management
7. Governance — Auditing, compliance, GDPR, and data retention
Certifications
Preparation guides and learning resources for professional certifications:
certifications/01_aws_cloud_practitioner — Foundational AWS cloud knowledge
certifications/02_dbt_analytics_engineering — Analytics engineering with dbt
certifications/03_confluent_data_streaming — Apache Kafka and event streaming