What problem does Apache Pig solve?
Answer / Vishwa Natri
Apache Pig addresses the problem of processing large datasets by providing a platform that allows users to easily write and execute data analysis scripts using Pig Latin, without having to deal with low-level Hadoop APIs. This enables developers and analysts to focus on the data analysis tasks at hand, rather than spending time on writing boilerplate code.
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain totuple function?
Why Do We Need Apache Pig?
What is pig latin statements?
Explain about the different complex data types in Pig?
Explain the difference between COUNT_STAR and COUNT functions in Apache Pig?
How do you write comments in pig scripts?
What is Pig Statistics? What are all stats classes in the Java API package available?
What are the common hadoop PIG interview questions, that you have been asked in a Hadoop Job Interview?
What Is Difference Between Mapreduce and Pig ?
How will you explain COGROUP in Pig?
Explain the uses of Map Reduce in Pig?
What is a skewed join?
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)