This Apache Spark tutorial explains what Apache Spark is, including the installation process and writing Spark applications with examples:

We believe that learning the basics and core concepts correctly is the basis for gaining a good understanding of something. Especially if you are new to the subject.

Here, we will give you the idea and the core concept of Apache Spark in simple terms, which will help you understand the complex operations and computations in Spark easily.

After going through this tutorial, you will know what Spark is, why we need Spark, Spark architecture, how to execute a Spark application, and the essentials to writing a Spark application.

What is Apache Spark?

Apache Spark is a lightning-fast cluster computing framework designed for real-time processing. Spark is an open-source project from the Apache Software Foundation. Spark overcomes the limitations of Hadoop MapReduce, and it extends the MapReduce model to be efficiently used for data processing.

Spark is a market leader for big data processing. It is widely used across organizations in many ways. It has surpassed Hadoop by running 100 times faster in memory and 10 times faster on disks. The main feature of Spark is its in-memory cluster computing, which increases the processing speed of an application.

Spark is designed to cover a wide range of workloads, such as batch applications, iterative algorithms, interactive queries, and streaming. Apart from supporting all these workloads in a respective system, it reduces the management burden of maintaining separate tools.

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