Hadoop works on a Distributed File System where various jobs are assigned to various Data Nodes in a cluster. The data is processed parallelly in the Hadoop cluster, which produces high throughput. Throughput is nothing but the task or job done per unit of time.
Read/write operations in Hadoop are immoderate since we are dealing with large-size data that is in TB or PB. In Hadoop, data read or write is done from the disk, which makes it difficult to perform in-memory calculation and leads to processing overhead or high processing.
I applied off-campus. After some weeks, I was selected and had to give one Aptitude test, then an OA, and then an interview. I was selected in the Aptitude test, so for the next round, there was the OA. It was a good experience as the questions were
I had a virtual onsite interview with the hiring manager. We went through my working experiences. The questions asked involved both technical and business sides. The hiring manager dived deep into what I know.
Online coding test and recorded video interview. Both were pretty easy. Face-to-face technical test. There was an extremely long wait between stages; the video to f2f process took 2 months. Worst f2f interview experience out of the 10+ companies I
I applied off-campus. After some weeks, I was selected and had to give one Aptitude test, then an OA, and then an interview. I was selected in the Aptitude test, so for the next round, there was the OA. It was a good experience as the questions were
I had a virtual onsite interview with the hiring manager. We went through my working experiences. The questions asked involved both technical and business sides. The hiring manager dived deep into what I know.
Online coding test and recorded video interview. Both were pretty easy. Face-to-face technical test. There was an extremely long wait between stages; the video to f2f process took 2 months. Worst f2f interview experience out of the 10+ companies I