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In Previous Years Questions HBase is an open-source, distributed, non-relational database designed for handling large-scale, real-time data. It’s built on top of the Hadoop Distributed … Read more

Google Bigtable is a powerful, fully managed NoSQL database service offered as part of the Google Cloud Platform. It’s designed to handle massive amounts of … Read more

In Previous Years Questions The 5 P’s of Big Data represent crucial aspects for successful big data projects and analysis. Here’s a quick overview: 1. … Read more

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