📊 Data Engineering Language
6 exercise sets. Master the vocabulary for data pipelines, warehouses, streaming systems, and data quality discussions.
Data Pipeline Vocabulary
ETL vs. ELT, batch vs. streaming, pipeline stages, data lineage — core vocabulary for data pipeline discussions.
Data Warehouse Vocabulary
Fact table, dimension table, slowly changing dimension, star schema, OLAP vs. OLTP.
Streaming Data Language
Apache Kafka vocabulary: topic, partition, consumer group, offset, exactly-once semantics.
Data Quality Vocabulary
Data quality dimensions: completeness, accuracy, consistency, timeliness — vocabulary for data quality discussions.
dbt & Modern Data Stack Vocabulary
dbt model, ref(), source freshness, lineage, data contract vocabulary.
Data Incident Communication
Data pipeline failure communication, SLA breach, data freshness SLO, incident vocabulary for data teams.