How to set up PySpark for your Jupyter notebook

However, for most beginners, Scala is not a great first language to learn when venturing into the world of data science.

Now, the promise of a Big Data framework like Spark is only truly realized when it is run on a cluster with a large number of nodes.

Unfortunately, to learn and practice that, you have to spend money. Some quick options are:

The above options cost money just to even start learning (Amazon EMR is not included in the one-year Free Tier program unlike EC2 or S3 instances).

However, if you are proficient in Python/Jupyter and machine learning tasks, it makes perfect sense to start by spinning up a single cluster on your local machine. You could also run one on an Amazon EC2 if you want more storage and memory.

Remember, Spark is not a new programming language that you have to learn.

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