Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. Apache Spark can distribute a workload across a group of computers in a cluster to more effectively process large sets of data. This open-source engine supports a wide array of programming languages. This includes Java, Scala, Python, and R.

Key features of Apache Spark:

Multiple language support: Spark supports multiple languages, including Java, Scala, Python, and R. This makes it easy to choose the language that is best suited for your needs.
Fault tolerance.
Unified engine: Spark provides a unified engine for batch processing, streaming, machine learning, and graph processing. This makes it easy to build and deploy applications that perform multiple types of analytics on the same data.
Integration with Hadoop: Spark integrates with Hadoop, so you can use Spark to process data that is stored in HDFS.

Usage Instructions: To start working with Apache Spark, you need to perform some steps mentioned in the file ‘sparkinfo’. To read the file sparkinfo, follow the steps to below: sudo apt-get update-> sudo su-> cd /opt-> sudo nano sparkinfo

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Default ports:

SSH: 22
HTTP: 80
HTTPS: 443
Apache Spark: 8080

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Apache Spark on Ubuntu 22.04Apps4Rent LLC

Apache Spark on Ubuntu 22.04

Apps4Rent LLC

Apache Spark on Ubuntu 22.04

Apps4Rent LLC

Apache Spark on Ubuntu 22.04
Apps4Rent LLC