What is pig and sqoop?

Question

what is pig and sqoop in big data? uses of it?

Mukesh Sagar · Answer

Apache Pig The Apache Pig is a platform for managing large sets of data which consists of high-level programming to analyze the data. Pig also consists of the infrastructure to evaluate the programs. The advantages of Pig programming is that it can easily handle parallel processes for managing very large amounts of data. The programming on this platform is basically done using the textual language Pig Latin. Pig Latin comes with the following features: Simple programming: it is easy to code, execute and manage Better optimization: system can automatically optimize the execution Extensive nature: it can be used to achieve highly specific processing tasks Pig can be used for following purposes: ETL data pipeline Research on raw data Iterative processing. Apache Sqoop: Apache Sqoop is a tool that is extensively used to transfer large amounts of data from Hadoop to the relational database servers and vice-versa. Sqoop can be used to import the various types of data from Oracle, MySQL and such other databases.

Sanwar Ranwa · Answer

Hello Check these LINKS https://intellipaat.com/tutorial/big-data-and-hadoop-tutorial/introduction-to-pig-sqoop-and-hive/ https://prismoskills.appspot.com/lessons/System_Design_and_Big_Data/Chapter_01_-_Hadoop.jsp https://www.quora.com/What-is-the-difference-between-Pig-and-Sqoop-in-Hadoop

Sagar Lad · Answer

Hi Reshwanth, Apache Pig is a tool for analytics which is used to analyze data stored in HDFS. Apache Sqoop is a tool to importing structured data from RDBMS to HDFS or exporting data from HDFS to RDBMS.