Apache Spark

An opensource tool for large-scale data processing.

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Key features

Apache Spark is an opensource tool for large-scale data processing. Its unified analytic engine provides easy-to-use API in Java, Scala, Python, and R. It supports tool sets such as Spark SQL for SQL and structured data processing, pandas API on Spark for pandas workloads, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for incremental computation and stream processing.

Apache Spark is a distributed processing system used for big data workloads

  • Spark provides fast processing as compared to other tools, it stores data in the RAM of the server rather than on disks
  • Support multiple languages, which makes it easy for developers to build applications on top of it
  • It is 10 to 100 times faster than Hadoop
  • Spark is better than Hadoop for big data processing and it can work on top of Hadoop as well

Use cases

  • Can be used for big data analytics
  • Real-time processing
  • Process data related to healthcare, finance, retail, business
  • Can be used in Artificial intelligence (AI) and Machine Learning (ML) tasks