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