Updated: Oct 7, 2019
Prerequisite: Follow these steps to install Apache Spark on windows machine.
Now-a-days Python is used by many applications. So it is quite possible that Python is already available on your machine. To check, just run this command on your command prompt.
C:\Users\rajar> python --version
'python' is not recognized as an internal or external command,
operable program or batch file.
If Python is present on your computer, command will output the Python version like this.
Python x.x.x
Check if Java is properly installed, just run java -version and you should be able to see Java version running on your computer.
Download & Install Python
Go to Python download page and download the latest version (don't download Python 2).
Download 64 bit or 32 bit installer depending upon your system configuration.
Double click on the downloaded executable file.
Don't forget to check the box - Add Python 3.7 to PATH , then click Install now. Thats all, it will take couple of minutes to complete the installation.
Now test it, run previous command again and you should be able to see Python version this time.
C:\Users\rajar> python --version
Python 3.7.4
Run pyspark
Now, run the command pyspark and you should be able to see the Spark version.
If you have any question please mention in comments section below and I will help you out with installation process. Thank you.
Next: Just enough Scala for Spark
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1. Apache Spark and Scala Installation
1.1 Spark installation on Windows
2. Getting Familiar with Scala IDE
2.1 Hello World with Scala IDE
3. Spark data structure basics
3.1 Spark RDD Transformations and Actions example
4. Spark Shell
4.1 Starting Spark shell with SparkContext example
5. Reading data files in Spark
5.1 SparkContext Parallelize and read textFile method
5.2 Loading JSON file using Spark Scala
5.3 Loading TEXT file using Spark Scala
5.4 How to convert RDD to dataframe?
6. Writing data files in Spark
6.1 How to write single CSV file in Spark
7. Spark streaming
8. Sample Big Data Architecture with Apache Spark
9. What's Artificial Intelligence, Machine Learning, Deep Learning, Predictive Analytics, Data Science?