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Curated data engineering resources: tutorials, tools, documentation, and community links for building modern data pipelines.
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Master Apache Spark: architecture, RDDs, DataFrames, Spark SQL, MLlib, and PySpark for distributed big data processing at scale.- Published on
Connect PySpark to PostgreSQL via JDBC. Load, transform, and write data between Spark DataFrames and PostgreSQL tables.- Published on
Install Apache Spark on Windows: Java setup, Hadoop winutils, environment variables, troubleshooting, and verification steps.- Published on
Master data pipeline patterns: linear, branching, parallel, looping, and hybrid architectures with Python examples.
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