Hadoop’s Parallel World
Hadoop is an open-source framework designed for processing and analyzing large datasets (big data) in a parallel and distributed manner across a cluster of computers. … Read more
Hadoop is an open-source framework designed for processing and analyzing large datasets (big data) in a parallel and distributed manner across a cluster of computers. … Read more
In Previous Years Questions ZooKeeper is an open-source, distributed coordination service used by large-scale distributed systems. It provides a central hub for applications to manage … Read more
UNIT 01 UNDERSTANDING BIG DATA Introduction to big data – convergence of key trends – unstructured data – industry examples of bigdata – web analytics … Read more
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