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Then copy downloaded file from step 5 into the bin directoryħ- Next step we need to add environment variables to define SPARK_HOME, HADOOP_HOME and include Part One: Install and Configure Apache Sparkġ- first we will start by downloading spark, we will download Apache Spark 2.4.4 go to URL choose Spark version 2.4.4 for Hadoop 2.7 then click on the file name with tgz extensionĢ- Web page will open click on highlighted mirror to start file downloadģ- Extract the file into any directory you chooseĤ- Save the directory name where you extracted Apache Spark source because we will use it in coming stepsĥ- Spark requires Hadoop, so next step we will install a file that simulate Hadoop installation, you can get this file from, click on DownloadĦ- Create a directory and create inner directories as following

JDK must be installed to setup Apache Spark with Scala, so please make sure both are installed and ready to be used, you can test java installation by type command java-version in any terminal and you should get out as following

In the following steps we will go through step by step to setup Apache Spark environment on Windows environment. Apache Spark provides language API for Java, Scala, Python, and R. Apache Spark also provides flexibility in deployment over different cluster management systems such as YARN, Mesos, Spark Standalone cluster, or Kubernetes.

Apache Spark is easy to use, unified platform for all purposes of big data processing, and equipped with rich set of APIs for different application needs as Spark DataFrame and Spark SQL for structured data processing, Spark Streaming and Structured Streaming for streaming applications, Spark MLib for machine learning applications, Spark Graphx for Graph analytics applications with the ability to combine all these APIs seamlessly in the same application without the headache of integration complexity.

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