There is given Hadoop interview questions and answers that have been asked in many companies. Let’s see the list of top Hadoop interview questions. What is Hadoop? Hadoop is a distributed computing platform. It is written in Java. It consists ...

Big Data contains a large amount of data that is not being processed by traditional data storage or the processing unit. It is used by many multinational companies to process the data and business of many organizations. The data flow ...

The term Big Data is referred to as large amount of complex and unprocessed data. Now a day’s companies use Big Data to make business more informative and allows to take business decisions by enabling data scientists, analytical modelers and ...

In Spark, when any function passed to a transformation operation, then it is executed on a remote cluster node. It works on different copies of all the variables used in the function. These variables are copied to each machine, and ...

Spark provides a convenient way to work on the dataset by persisting it in memory across operations. While persisting an RDD, each node stores any partitions of it that it computes in memory. Now, we can also reuse them in ...

The RDD provides the two types of operations: Transformation Action Transformation In Spark, the role of transformation is to create a new dataset from an existing one. The transformations are considered lazy as they only computed when an action requires ...

The RDD (Resilient Distributed Dataset) is the Spark’s core abstraction. It is a collection of elements, partitioned across the nodes of the cluster so that we can execute various parallel operations on it. There are two ways to create RDDs: ...

The Spark project consists of different types of tightly integrated components. At its core, Spark is a computational engine that can schedule, distribute and monitor multiple applications. Let’s understand each Spark component in detail. Spark Core The Spark Core is ...

In this section, we will perform the installation of Spark. So, follow the below steps. Download the Apache Spark tar file. Click Here Unzip the downloaded tar file. Open the bashrc file. Now, copy the following spark path in the ...

Apache Spark is an open-source cluster computing framework. Its primary purpose is to handle the real-time generated data. Spark was built on the top of the Hadoop MapReduce. It was optimized to run in memory whereas alternative approaches like Hadoop’s ...