Install Apache Spark PySpark on Windows | Data Engineer Full Course | Lecture 4

Welcome to the fourth lecture of the Data Engineering Full Course series by AmpCode! 🚀 In this video, we'll walk you through the process of installing Apache Spark and PySpark on a Windows system. Setting up your environment is a crucial step to start working with big data tools, and we’ve got you covered!
🔍 What You'll Learn:
How to install Java Development Kit (JDK) on Windows
Step-by-step installation of Apache Spark on Windows
Setting up PySpark and configuring the environment
Running your first PySpark program to test the setup
By the end of this lecture, you'll have a fully functional setup of Apache Spark and PySpark on your Windows machine, ready for data engineering projects.
🔔 Don’t forget to subscribe to AmpCode for more lectures and updates. If this video helps you, please like and share it with your peers. Let's continue our data engineering journey together!
PySpark installation steps on MAC: sparkbyexample...
Apache Spark Installation links:
1. Download JDK: www.oracle.com...
2. Download Python: www.python.org...
3. Download Spark: spark.apache.o...
Winutils repo link: github.com/ste...
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 C...
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Apache Spark Installation links:
1. Download JDK: www.oracle.com...
2. Download Python: www.python.org...
3. Download Spark: spark.apache.o...
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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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