Course Category
data-engineering
Browse the full MonsterCourses catalogue — live, instructor-led training across every academy.
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Process large-scale data with Apache Spark — DataFrames, Spark SQL, and performance tuning. -
Build cloud-native data engineering pipelines using AWS data services. -
Ensure pipeline reliability and data trustworthiness with data quality and observability practices. -
Design data warehouses and dimensional models for analytics — star schemas, fact and dimension tables. -
Design and build reliable ETL/ELT data pipelines for production data platforms. -
Design modern lakehouse architectures that unify data lake flexibility with data warehouse reliability. -
Learn core data engineering skills in Python — data pipelines, processing, and automation. -
Build real-time data pipelines with Apache Kafka — topics, producers, consumers, and stream processing.
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