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With the help of two examples name the map and reduce function purpose
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What is identity mapper and reducer? In which cases can we use them?
What are the configuration parameters in the 'MapReduce' program?
How do you stop a running job gracefully?
What is a distributed cache in mapreduce framework?
When Namenode is down what happens to job tracker?
What are the main configuration parameters in a MapReduce program?
How can we assure that the values regarding a particular key goes to the same reducer?
Is it necessary to write a mapreduce job in java?
What is partitioner and its usage?
How does MapReduce framework view its input internally?
What is a "reducer" in Hadoop?
What is the next step after Mapper or MapTask?
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Apache Hadoop (394) - MapReduce (354)
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- 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)
