Understanding Spark Application concepts and Running our first PySpark application

In this lecture, we're going to understand Apache Spark application concepts and also we will run our first PySpark application on Jupyter Notebook. Here we have discuss what are the core concepts of Apache Spark and how your Spark application runs under the hood and also we have discussed about Transformations, Actions in Apache Spark and all about Spark Lazy Evaluation. At last we have executed our first PySpark application.

Below are the files for this lecture:

Jupyter Notebook: https://github.com/ashaypatil11/spark...

CSV Data: https://github.com/ashaypatil11/spark...

Anaconda Distributions Installation link:
https://www.anaconda.com/products/dis...

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PySpark installation steps on MAC: https://sparkbyexamples.com/pyspark/h...

Apache Spark Installation links:

1. Download JDK: https://www.oracle.com/in/java/techno...

2. Download Python: https://www.python.org/downloads/

3. Download Spark: https://spark.apache.org/downloads.html

Environment Variables:

HADOOP_HOME- C:\hadoop
JAVA_HOME- C:\java\jdk
SPARK_HOME- C:\spark\spark-3.3.1-bin-hadoop2
PYTHONPATH- %SPARK_HOME%\python;%SPARK_HOME%\python\lib\py4j-0.10.9-src;%PYTHONPATH%

Required Paths:

%SPARK_HOME%\bin
%HADOOP_HOME%\bin
%JAVA_HOME%\bin

Also check out our full Apache Hadoop course:
   • Big Data Hadoop Full Course  

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Apache Spark Installation links:

1. Download JDK: https://www.oracle.com/in/java/techno...

2. Download Python: https://www.python.org/downloads/

3. Download Spark: https://spark.apache.org/downloads.html

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Audience

This tutorial has been prepared for professionals/students aspiring to learn deep knowledge of Big Data Analytics using Apache Spark and become a Spark Developer and Data Engineer roles. In addition, it would be useful for Analytics Professionals and ETL developers as well.

Prerequisites

Before proceeding with this full course, it is good to have prior exposure to Python programming, database concepts, and any of the Linux operating system flavors.

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