#INSTALL PYSPARK ON UBUNTU INSTALL#
Let’s install both onto our AWS instance.Ĭonnect to the AWS with SSH and follow the below steps to install Java and Scala. To install spark we have two dependencies to take care of. Once you are done through the article follow along here.
Make sure to perform all the steps in the article including the setting up of Jupyter Notebook as we will need it to use Spark.
Setting Up A Completely Free Jupyter Server For Data Science With AWS. Follow the link below to set up a full-fledged Data Science machine with AWS. We have already covered this part in detail in another article. The first thing we need is an AWS EC2 instance. In this article, we will learn to set up an Apache Spark environment on Amazon Web Services. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming. It has high-level APIs for programming languages like Python, R, Java and Scala. It allows data-parallelism with great fault-tolerance to prevent data loss. Cluster computing combines the computing power of multiple machines, sharing its resources for handling tasks that are too much for a single machine.Īpache Spark is a framework that is built around the idea of cluster computing. There is a limit to which a machine can be upgraded.īut having multiple machines that work together is a whole different story. 
In the machine learning context, a machine or computer can efficiently handle only as much data as its RAM is capable of holding, which is very limited. But considering the no limit nature of data, the power of a computer is limited. A computer is a powerful machine when it comes to processing large amounts of data faster and efficiently.
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