Overview Of Apache Pig

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Overview of Apache Pig with Hadoop training in Hyderabad:

Apache Pig is a review over Map Reduce. It is a tool or platform which used To analyze larger sets of data representing them as data flows, Pig is generally Used with Hadoop. We able to perform all the data operations in Hadoop using Pig, We can easy to perform on apache pig with the help of Hadoop training in Hyderabad.

Professionals working on Hadoop who would like to perform Map Reduce operations without Having any complex codes in Java. To make the most of this, you should have a good Understanding of the basics of HDFS and Hadoop commands. It will help if you are good at SQL.

What is Apache Pig & Hadoop training institutes in Hyderabad……?

We write data analysis programs, and then pig provides high-level language known as pig Latin. The pig Latin provides various operators using which programmers can develop their own Functions for processing, writing and reading data.Kosmik Technologies provides best Hadoop training classes and also they provide expert faculty they teach Hadoop training inHyderabad.

Programmers write a script using pig Latin language using apache pig. These scripts are provided To convert into Map and Reduce tasks. Pig Engine is a component of apache pig. Pig Latin scripts Converts Map reduces jobs.

Why Do We Need Apache Pig?

Developers who are not good at Java used to struggle to work with Hadoop, While performing any Map Reduce tasks, Apache Pig is a bone for all programmers.

1. User can perform Map-Reduce tasks without having any complex codes in Java, Use Pig Latin.

2. By using multi-query approach, thereby reducing the length of codes. Apache Pig reduces development time by 16 times.

3. Pig Latin is SQL-like language and it is easy to learnHadoop Apache Pig when you are familiar with SQL. Nested data types like bags, tuples, and maps that are missing from Map Reduce.

Features of Pig:

Apache Pig comes with the following features

1. Rich set of operators: It provides many operators to perform operations like sort, join, filter etc....

2. Ease of programming: Pig Latin is like SQL and if you are good at SQL, then easy to write Pig script

3. Optimization opportunities: The tasks in Apache Pig optimize their execution. So the programmers need to focus only on the semantics of the language.

4. Extensibility: Using the existing operators, users can develop their own functions to process, read, and write data....

5. UDF: Pig provides the facility to create User-defined Functions in another program. Such as invoking and Java or embed them in Pig Scripts.

6. Handles all kinds of data: Apache Pig analyze both structured as well as unstructured. It stores the results in HDFS.

Applications of Apache Pig:

1. to process time sensitive data loads.

2. To perform data processing for search platforms.

3. To process huge data sources such as web logs.