Apache Spark & PySpark – Big Data Processing

Apache Spark is a distributed data processing framework used to analyze large datasets efficiently. PySpark enables developers to use Python with Apache Spark for data transformation, analysis, and processing. Learning PySpark helps learners understand distributed computing, large-scale data operations, and data engineering workflows.

This learning module covers Apache Spark architecture, PySpark fundamentals, SparkSession, RDD concepts, DataFrames, Spark SQL, data filtering, transformations & actions, joins, aggregations, window functions, handling missing data, Parquet files, ETL pipelines, performance optimization, and practical big data processing projects.

📍 West Mambalam, Chennai

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