Setting up PySpark IDE | Installing Anaconda, Jupyter Notebook and Spyder IDE
In this lecture, we're going to setup Apache Spark (PySpark) IDE on Windows PC where we have installed Anaconda Distributions which comes with Spyder IDE, Jupyter Notebook, Pandas, Numpy, Matplotlib and many more. Please find the below installation links/steps:
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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