Data Analytics

Spark is a powerful open-source unified analytics engine used for large-scale data processing. It’s like a supercharged blender for your data, capable of crunching through … Read more

In Previous Years Questions Spark is faster than MapReduce for several reasons 1. In-memory processing Spark primarily processes data in memory (RAM), while MapReduce primarily … Read more

Here, Task A has no dependencies, so it can start first. Task B and C depend on Task A, so they can only start once … Read more

Resilient Distributed Datasets (RDDs) are a fundamental data structure in Apache Spark, a distributed computing framework designed for large-scale data processing and analysis. RDDs provide … Read more

In Previous Years Questions In the context of Apache Hive, a metastore is a central component that manages metadata for Hive tables. Hive is a … Read more

OR Explain working of Hive with proper steps and diagram ? Hive is a data warehouse framework built on top of the Hadoop ecosystem. It … Read more

HDFS, or Hadoop Distributed File System, aims to achieve several key goals: 1. Manage Large Datasets HDFS is designed to store and manage massive datasets … Read more

In Previous Years Questions Hadoop is a distributed processing framework designed to efficiently process large datasets across clusters of computers. It consists of four core … Read more

In Previous Years Questions HiveQL DDL commands are used to create, modify, and delete databases, tables, and other objects within the Hive metastore. 1. CREATE … Read more

In Previous Years Questions Prerequisites Installation Steps Running Hive References: