Top 12 Apache Pig Features You Must Know
1. Apache Pig Features – Objective
After learning the complete Introduction of Apache Pig, in this article, we will discuss the 12 best features of Apache Pig. There are many features of Apache Pig such as Ease of programming, Handles all kinds of data, Extensibility and many more. So, in this blog, “Apache Pig Features” we will discuss all these features in detail and try to understand why Pig should be chosen.
2. Top 12 Hadoop Pig Features
There are lot many Apache Pig features. Let’s discuss them one by one:
i. Rich set of operators
One of the major advantages is, in order to perform several operations, there is a huge set of operators offered by Apache Pig, such as join, sort, filer, etc.
ii. Ease of programming
Basically, for SQL Programmer, Pig Latin is a boon. It is as similar to SQL. Hence, if you are good at SQL it is easy to write a Pig script.
iii. Optimization opportunities
Also, it’s a benefit working here because in Apache Pig the tasks optimize their execution automatically. Hence, as a result, programmers only need to focus on the semantics of the language.
Extensibility is one of the most interesting features it has. It means users can develop their own functions to read, process, and write data, using the existing operators.
It is also a very amazing feature that it offers the facility to create User-defined Functions in other programming languages like Java. Meanwhile, invoke or embed them in Pig Scripts.
vi. Handles all kinds of data
Handling all kinds of data is one of the reasons for easy programming. That means it analyzes all kinds of data. Either structured or unstructured. Also, it stores the results in HDFS.
vii. Join operation
In Apache Pig, performing a Join operation is pretty simple.
viii. Multi-query approach
Apache Pig uses multi-query approach. Basically, this reduces the length of the codes to a great extent.
ix. No need for compilation
Here, we do not require any compilation. Since every Apache Pig operator is converted internally into a MapReduce job on execution.
x. Optional Schema
However, the schema is optional, in Apache Pig. Hence, without designing a schema we can store data. So, values are stored as $01, $02 etc.
Apache Pig Latin allows splits in the pipeline
xii. Data flow language
Apache Pig is data flow language.
Learn: Pig Installation on Ubuntu
So, this was all in Pig Features Tutorial. Hope you like our explanation.
If these professionals can make a switch to Big Data, so can you:
Hence, in this article, we have seen Top 12 Apache Pig Features. However, if any doubt occurs, feel free to ask in the comment section. We will definitely get back to you.