While performing any MapReduce tasks, there is a case Programmers who are not so good at Java normally used to struggle to work with Hadoop. Further, Hadoop Pig graduated as an Apache top-level project, in 2010. Then the first release of Apache Pig came out in 2008. By Apache incubator, Pig was open sourced, in 2007. Basically, to create and execute MapReduce jobs on every dataset it was created. Join DataFlair on Telegram!! Hadoop Pig Tutorial – HistoryĪpache Pig was developed as a research project, in 2006, at Yahoo. Stay updated with latest technology trends Next in Hadoop Pig Tutorial is it’s History. That accepts the Pig Latin scripts as input and further convert those scripts into MapReduce jobs. It is possible with a component, we call as Pig Engine. However, all these scripts are internally converted to Map and Reduce tasks. Hence, programmers need to write scripts using Pig Latin language to analyze data using Apache Pig. In order to do special-purpose processing, users can create their own functions. It allows users to focus on semantics rather than efficiency, to optimize their execution automatically, in which tasks are encoded permits the system. Through them, programmers can develop their own functions for reading, writing, and processing data.īasically, when all the complex tasks comprised of multiple interrelated data transformations are explicitly encoded as data flow sequences, that makes them easy to write, understand, and maintain. One of the major advantages of this language is, it offers several operators. In addition, Pig offers a high-level language to write data analysis programs which we call as Pig Latin.
By using Pig, we can perform all the data manipulation operations in Hadoop. While it comes to analyze large sets of data, as well as to represent them as data flows, we use Apache Pig. Hadoop Pig is nothing but an abstraction over MapReduce. Moreover, we will see, some Comparisons like Pig Vs Hive, Apache Pig Vs SQL and Hadoop Pig Vs MapReduce. So, in this Hadoop Pig Tutorial, we will discuss the whole concept of Hadoop Pig.Īpart from its Introduction, it also includes History, need, its Architecture as well as its Features. It is nothing but an abstraction over MapReduce.
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