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Pig Latin is a type of programming language utilized for working in Apache Pig, which is a software resource for creating certain kinds of data analysis programs.
The Apache Hadoop resource set is a very popular way to aggregate and sort data. In the big data craze of recent years, Hadoop plays an integral role, along with supporting tools like Apache Pig. Hadoop and related tools and accessories are almost entirely open source, which means that they are not sold with conventional licensing fees.
The Hadoop platform includes several main elements, including a system called MapReduce for batch handling data and a Hadoop HDFS file-handling system. Apache Pig involves a compiler that produces MapReduce data sets. The goal is to analyze big data sets.
Developers created the Pig Latin language in order to help operators use Pig effectively. The makers of this product talk about an "ease of programming" that relies on the textual nature of Pig Latin, where direct commands are easy to express semantically. There is also the promise of versatility built into the software.
A look at this relatively easy language, which is complementary to popular programming languages like Java and Python, shows that this language follows certain conventions, for example, the use of variables like integer, float, Boolean and others in Java and other languages, along with simple operators alike—Dexribe, Dump, Explain and Illustrate—each of which promotes a simple data result. Pig Latin also includes a set of relational operators like Group, Filter, and Join that are traditional parts of querying languages. Other elements of easy cheat sheets for Pig Latin include string functions, mathematical functions, date-time functions and other types of command syntaxes.