What is the Physical plan in pig architecture?
No Answer is Posted For this Question
Be the First to Post Answer
How do you handle compression in pig?
Explain the need for MapReduce while programming in Apache Pig?
Explain about the execution plans of a Pig Script? Or Differentiate between the logical and physical plan of an Apache Pig script?
What are the execution modes in the apache pig?
What problem does Apache Pig solve?
What are the different functions available in pig latin language?
What is flatten in pig?
What are the advantages of pig language?
Why do we use ‘filters’ Pig scripts?
why should we use 'group' keyword in pig scripts?
Is piglatin a strongly typed language? If yes, then how did you come to the conclusion?
Different running modes for running Pig?
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)