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OBJECTIVE: Set up Spark multi node cluster in AWS cloud.

I installed Spark cluster on AWS cloud and showed some its important functionalities.

  • The file spark_installation.txt describes the installation procedure. This is done on top of a Hadoop YARN cluster, which I installed previously (for details see Hadoop-Hive project in the current git repository).
  • The folder ./Scala_ETL contains the example of ETL (Extract Transfer Load) pipeline written in Scala.
  • The folder ./Java_ML contains the example of simple machine learning pipeline in Java.
  • The example of data batch processing with Spark (./Streaming).

Note

Each project is accompained by intsruction how to run it on Spark cluster in Scala, Java or in Python environment (see the corresponding How_to_run.txt files).

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Set up a multi-node Spark cluster on AWS cloud from scratch. Big Data Extraction, Processing and Analysis

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