MapReduce is an algorithm for processing huge datasets on certain kinds of distributable problems using a large number of nodes
One of the main examples that is used in demonstrating the power of MapReduce is the Terasort benchmark. I'm having …
algorithm sorting parallel-processing hadoop mapreduceI have a bunch of small files in an HDFS directory. Although the volume of the files is relatively small, …
java hadoop mapreduce distributed-computingWhat is a container in YARN? Is it same as the child JVM in which the tasks on the nodemanager …
hadoop mapreduce yarnAre there any dependencies between Spark and Hadoop? If not, are there any features I'll miss when I run Spark …
hadoop amazon-s3 apache-spark mapreduce mesosThis is a conceptual question involving Hadoop/HDFS. Lets say you have a file containing 1 billion lines. And for the …
hadoop mapreduce hdfsI've been trying to use MapReduce in MongoDB to do what I think is a simple procedure. I don't know …
mongodb mapreduceSuppose I have a collection with some set of documents. something like this. { "_id" : ObjectId("4f127fa55e7242718200002d"), "id":1, "…
mongodb mapreduce duplicates aggregation-frameworkFor a Big Data project, I'm planning to use spark, which has some nice features like in-memory-computations for repeated workloads. …
java scala mapreduce gzip apache-sparkMy program looks like public class TopKRecord extends Configured implements Tool { public static class MapClass extends Mapper<Text, Text, …
java hadoop mapreduce