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.
Was fast-tracked from a campus programming challenge to the Superday. The Superday consisted of two interviews, back-to-back: a technical and a behavioral, one hour each, both with two engineers each. My technical interview was mainly LC whiteboard-
Three-stage interview: two technical and one HR. The interviewer was pretty helpful. I liked interviewing and did my best. They asked DSA-based questions, did project-based grilling, and asked behavioral questions. Just have good composure and try yo
Not so hard, mainly focusing on DSA and tech screen. There were 5 rounds: the first was the online assessment, the second was the tech screen. If you get through, there will be a "super day" with three back-to-back interviews with multiple people and
Was fast-tracked from a campus programming challenge to the Superday. The Superday consisted of two interviews, back-to-back: a technical and a behavioral, one hour each, both with two engineers each. My technical interview was mainly LC whiteboard-
Three-stage interview: two technical and one HR. The interviewer was pretty helpful. I liked interviewing and did my best. They asked DSA-based questions, did project-based grilling, and asked behavioral questions. Just have good composure and try yo
Not so hard, mainly focusing on DSA and tech screen. There were 5 rounds: the first was the online assessment, the second was the tech screen. If you get through, there will be a "super day" with three back-to-back interviews with multiple people and