Data engineering
Data Engineering
5 self-contained study topics — notes, diagrams, formulas, and worked examples for exams and GATE.
Topics
- Data Ingestion PipelinesFor B.Tech exams, data ingestion pipelines is tested for definition plus one direct derivation or numerical; align notation with Tom Mitchell (Machine Learning).
- ETL and ELT PatternsFor B.Tech exams, etl and elt patterns is tested for definition plus one direct derivation or numerical; align notation with Bishop (Pattern Recognition and Machine Learning).
- Data Modelling and WarehousingFor B.Tech exams, data modelling and warehousing is tested for definition plus one direct derivation or numerical; align notation with Goodfellow, Bengio & Courville (Deep Learning).
- Batch and Stream ProcessingFor B.Tech exams, batch and stream processing is tested for definition plus one direct derivation or numerical; align notation with Tan, Steinbach & Kumar (Introduction to Data Mining).
- Data Quality MonitoringFor B.Tech exams, data quality monitoring is tested for definition plus one direct derivation or numerical; align notation with Tom Mitchell (Machine Learning).