apache

Here we will discuss about Cross Operator in Apache Pig. The CROSS operator computes the cross-product of two or more relations. This chapter explains with example how to use the cross operator…

Here we will discuss about Join Operator in Apache pig. The JOIN operator is used to combine records from two or more relations. While performing a join operation, we declare one (or…

Here we will discuss about Cogroup Operator in Apache Pig. The COGROUP operator works more or less in the same way as the GROUP operator. The only difference between the two operators is that…

Here we will discuss about Group Operator in Apache Pig. The GROUP operator is used to group the data in one or more relations. It collects the data having the same key.…

Here we will discuss about Illustrate operator in Apache Pig. The illustrate operator gives you the step-by-step execution of a sequence of statements. Syntax Given below is the syntax of the illustrate operator. grunt>…

Here we will discuss about explain operator in apache pig. The explain operator is used to display the logical, physical, and MapReduce execution plans of a relation. Syntax Given below is the…

The describe operator is used to view the schema of a relation. Here we will discuss about apache pig describe operator. Syntax The syntax of the describe operator is as follows − grunt> Describe…

Here we will discuss about apache pig diagnostic operators. The load statement will simply load the data into the specified relation in Apache Pig. To verify the execution of the Load statement, you have…

In the previous chapter, we learnt how to load data into Apache Pig. You can store the loaded data in the file system using the store operator. This chapter explains how to…

In general, Apache Pig works on top of Hadoop. It is an analytical tool that analyzes large datasets that exist in the Hadoop File System. To analyze data using Apache Pig, we have…