Pig Commands

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Find the largest sum contiguous subarray.

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Given an array of positive and negative integer s, find a contiguous subarray whose sum (sum of elements) is maximized. · Maximum subarray in an array is found in a single scan. We keep track of global maximum sum so far and the maximum sum, which include the current element. · When we find global maximum value so far is less than the maximum value containing current value we update the global maximum value. · Finally return the global maximum value.Concept of Stack A stack is a memory in which values are stored and retrieved in “last in firs import java.util.*; class SumOfArray { public static void main(String[] args) { Scanner s=new Scanner(System.in); System.out.println("enter size of Array"); int a=s.nextInt(); int[] arr=new int[a]; System.out.println("enter element of Array"); for(int i=0;i<a;i++) {                 arr[i]=s.nextInt(); }         System.out.println("Max sub...
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Hive Vs Pig

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Differences between Hive and Pig: Hive Pig 1.Hive is declarative language works on HiveQL(HQL) which is similar to SQL. 1.Pig is procedural language. Works on Pig Latin 2.Used by data analytics people 2.Used by Researchers, and programmers. 3.Works only on structured data. 3.Works on structured, semi structured and unstructured data . 4.Hive operates on server side of the cluster. 4.Pig operates on Client side of the cluster. 5.Supports partitioning of data. 5.Doesnot support partitioning. 6.Doesnot load the data quickly   but executes quickly 6.Loads the data quickly and effectively 7.Has separate metadata database on HDFS. 7.Doesnot have separate metadata database.Uses HDFS as its database. 8.Hive    was first developed by facebook 8.Pig was first developed by ...
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Sqoop

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The traditional application management system, that is, the interaction of applications with relational database using RDBMS, is one of the sources that generate Big Data. Such Big Data, generated by RDBMS, is stored in Relational  Database Servers  in the relational database structure. When Big Data storages and analyzers such as MapReduce, Hive, HBase, Cassandra, Pig, etc. of the Hadoop ecosystem came into picture, they required a tool to interact with the relational database servers for importing and exporting the Big Data residing in them. Here, Sqoop occupies a place in the Hadoop ecosystem to provide feasible interaction between relational database server and Hadoop’s HDFS. Sqoop  − “SQL to Hadoop and Hadoop to SQL” Sqoop is a tool designed to transfer data between Hadoop and relational database servers. It is used to import data from relational databases such as MySQL, Oracle to Hadoop HDFS, and export from Hadoop file system to relational databases. It is provided...
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