Spark

Apache Spark

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Apache Spark

Apache Spark is a distributed computing system providing APIs for large-scale data processing. It offers in-memory computing, lazy evaluation, and unified API for batch and streaming.

Key Concepts

  • RDDs and DataFrames
  • Transformations and actions
  • Spark SQL
  • Streaming (structured)
  • MLlib for machine learning

Common Use Cases

  • Big data processing
  • ETL pipelines
  • Real-time analytics
  • Machine learning at scale
  • Data lake processing

Best Practices

  • Use DataFrames over RDDs
  • Implement proper partitioning
  • Cache judiciously
  • Use broadcast variables
  • Monitor with Spark UI

Resources

  • Spark.apache.org: spark.apache.org/docs
  • Related Skills: data-engineering, scala, python, hadoop

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