Data Engineering & Analytics
8 sections1,353 questions
Moving and shaping data at scale: distributed processing, pipeline orchestration and transformation, business intelligence and visualization, analysis libraries, and product-analytics ingestion. Interviewers ask because pipelines fail differently from services — late data, backfills, reprocessing and idempotency are the recurring themes.
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- Processing Engines444 questions
- Apache Spark61 questions
- Hadoop30 questions
- HDFS2 questions
- YARN1 questions
- MapReduce1 questions
- Apache Flink (has its own guide)49 questions
- Processing Engine Concepts300 questions
- Workflow Orchestration & Transformation169 questions
- Apache Airflow37 questions
- Prefect18 questions
- Luigi4 questions
- dbt38 questions
- AWS Glue12 questions
- Azure Data Factory12 questions
- Google Cloud Dataflow12 questions
- Orchestration Concepts36 questions
- BI & Visualization100 questions
- Data & Analysis Libraries295 questions
- Pandasempty
- NumPyempty
- Matplotlibempty
- Seabornempty
- dplyrempty
- ggplot2empty
- Kotlin DataFrameempty
- Working With Data in One Process295 questions
- Ingestion / Reverse-ETL & Product Analytics124 questions
- Google Analytics6 questions
- Amplitude5 questions
- Mixpanel5 questions
- Heap5 questions
- Segment5 questions
- Census4 questions
- Hightouch5 questions
- Change Data Capture (CDC)36 questions
- Batch and File-Based Ingestion18 questions
- Data Quality and Contracts18 questions
- Airbyte12 questions
- Fivetran5 questions
- Data Modeling for Analytics118 questions
- Dimensional Modeling41 questions
- Slowly Changing Dimensions & History24 questions
- Warehouse Architectures & Layering30 questions
- Modeling Practice & Standards23 questions
- Lakehouse Table Formats71 questions
- Table Format Concepts29 questions
- Apache Iceberg18 questions
- Apache Hudi12 questions
- Databricks Delta Lake12 questions
- Data Governance, Lineage & Catalogs32 questions
- Data Catalogs & Metadata Management5 questions
- Data Lineage5 questions
- PII Classification & Masking5 questions
- Access Governance5 questions
- Compliance, Retention & Erasure6 questions
- Data Mesh & Ownership Models6 questions
→ has its own guide