AdminHelpdice Team30 May, 2024How does Hadoop process large volumes of data?Hadoop uses a lot of machines in parallel. This optimizes data processingHadoop was specifically designed to process large amount of data by taking advantage of MPP hardwareHadoop ships the code to the data instead of sending the data to the codeNone of these answers are correctCheck AnswerRelated MCQ's In order to apply a combiner, what is one property that has to be satisfied by the values emitted from the mapper?...Tue, 29 JulKeys from the output of shuffle and sort implement which of the following interface?...Tue, 29 JulWhich demon is responsible for replication of data in Hadoop?...Tue, 29 JulWhich of the following is false about RawComparator?...Tue, 29 JulWhich one of the following is not a main component of HBase?...Tue, 29 JulWhich one of the following statements is false regarding the Distributed Cache?...Tue, 29 JulWhich one of the following statements is true regarding <key,value> pairs of a MapReduce job?...Tue, 29 JulThe org.apache.hadoop.io.Writable interface declares which two methods?...Tue, 29 JulWhich of the following components retrieves the input splits directly from HDFS to determine the number of map task...Tue, 29 JulWhich of the following are among the duties of the Data Nodes in HDFS?...Tue, 29 Jul