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:
1. AWS Certified Cloud Practitioner — Foundational AWS cloud knowledge
2. dbt Analytics Engineering Certification — Analytics engineering with dbt
3. Confluent Data Streaming Engineer Foundations — Apache Kafka and event streaming