Data Engineering & Infrastructure
A comprehensive study wiki for Kiersten. Deep dives into pipelines, orchestrators, cloud platforms, architecture patterns, and the tools that power modern data infrastructure.
Study Guides
Step-by-step guides on data pipelines, ETL/ELT, streaming, batch processing, data modeling, and cloud platforms.
Key Concepts
Deep dives into orchestrators (Airflow, Prefect, Dagster), harnesses, MCPs, and essential terminology.
Companies & Tools
Profiles of notable companies like Reducto, Warp, and others — their products, architectures, and case studies.
Project Architectures
Common data engineering architectures: lakehouse, lambda, kappa, data mesh — with diagrams and examples.
Glossary & FAQ
Definitions for key terms and answers to common questions about data engineering and infrastructure.
Quick Links
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