Learn

Deep-dive into data engineering concepts, patterns, and best practices.

Guides

End-to-end tutorials and conceptual overviews:

• 1. Analytics Engineering

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