What type of task is Pig used for in the Hadoop ecosystem?

Pig is primarily used for data processing and analysis within the Hadoop ecosystem. It is a high-level platform that provides a scripting language known as Pig Latin, which allows users to interact with large datasets more easily compared to writing complex MapReduce programs in Java. With Pig, users can express data transformations, such as filtering, joining, and aggregating data, in a more straightforward and readable manner. This ability to handle and process large volumes of data efficiently makes it particularly well-suited for tasks related to data analysis in the context of big data workflows within Hadoop. Pig translates these high-level scripts into a series of MapReduce jobs that can be executed on a Hadoop cluster, enabling users to leverage the scalability and distributed processing capabilities of Hadoop for their data analysis needs.