System design blueprints, step-by-step setup guides, deep dives, and cheatsheets — everything a Big Data engineer needs in one place.
Real-time pipelines, Lambda/Kappa, CDC, data lake architecture, distributed systems
Copy-paste setup for Kafka, Spark, Airflow, Debezium, dbt — local and cloud
Architecture, consumer groups, exactly-once, replication, production patterns
RDDs, DataFrames, tuning, partitioning, Spark Streaming, cluster config
Stream processing, stateful ops, checkpointing, watermarks, windowing
DAG design, operators, sensors, scheduling, production best practices
Models, tests, incremental runs, snapshots, dbt Cloud vs Core
Kafka CLI, Spark config, SQL patterns — quick reference for daily use