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Explain the process of spilling in Hadoop MapReduce?
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Name job control options specified by mapreduce.
What do you understand by compute and storage nodes?
If reducers do not start before all mappers finish then why does the progress on mapreduce job shows something like map(50%) reduce(10%)? Why reducers progress percentage is displayed when mapper is not finished yet?
how Hadoop is different from other data processing tools?
It can be possible that a Job has 0 reducers?
Explain the process of spilling in MapReduce?
What is the inputsplit in map reduce software?
Which among the two is preferable for the project- Hadoop MapReduce or Apache Spark?
What are ‘reduces’?
what does the text input format do?
What combiners is and when you should use a combiner in a MapReduce Job?
Difference between mapreduce and spark
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Apache Hadoop (394) - MapReduce (354)
- Apache Hive (345)
- Apache Pig (225)
- Apache Spark (991)
- Apache HBase (164)
- Apache Flume (95)
- Apache Impala (72)
- Apache Cassandra (392)
- Apache Mahout (35)
- Apache Sqoop (82)
- Apache ZooKeeper (65)
- Apache Ambari (93)
- Apache HCatalog (34)
- Apache HDFS Hadoop Distributed File System (214)
- Apache Kafka (189)
- Apache Avro (26)
- Apache Presto (15)
- Apache Tajo (26)
- Hadoop General (407)
