What are the Applications of Apache Pig?
Answer / Prashant Upadhyay
Apache Pig is primarily used for big data analysis and processing. Some common applications include data integration, data warehousing, real-time analytics, machine learning, and predictive modeling. It is often used in industries that deal with large amounts of structured or unstructured data, such as finance, healthcare, retail, and social media.
| Is This Answer Correct ? | 0 Yes | 0 No |
What are the exception handling operators in Pig script?
What are the relation operations in Pig? Explain any two with examples?
Explain plucktuple?
What are the different Eval functions available in Pig?
How would you diagnose or do exception handling in the pig?
Does Pig support multi-line commands?
What are the different pig data types?
How should 'load' keyword is useful in pig scripts?
Highlight the difference between group and Cogroup operators in Pig?
While writing evaluate UDF, which method has to be overridden?
How to use 'foreach' operation in pig scripts?
What are the Applications of Apache 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)