Interested to Buy Any Domain ? << Click Here >> for more details...
Answer Posted / Shailendra Singh
Hadoop MapReduce is a programming model for processing large datasets in parallel across a distributed system. It involves writing custom map and reduce functions to process the data. On the other hand, Apache Pig provides a higher-level abstraction for data analysis by using a language called Pig Latin which allows users to write dataflow programs without having to deal with intricate details of MapReduce programming.nnDifferences between Hadoop MapReduce and Pig:n1. Abstraction Level: MapReduce is a low-level system, while Pig provides a higher level of abstraction.n2. Programming Model: In MapReduce, you write custom map and reduce functions in Java or other languages, whereas in Pig, you write dataflow programs using the Pig Latin language.n3. Data Manipulation: MapReduce primarily focuses on data processing, while Pig allows for easier data manipulation, filtering, and joining of datasets.n4. Learning Curve: MapReduce has a steeper learning curve due to its low-level programming nature, whereas Pig is designed to be more user-friendly.
| Is This Answer Correct ? | 0 Yes | 0 No |
Post New Answer View All Answers
