Apache Pig is a significant level information stream stage for executing MapReduce projects of Hadoop. The language utilized for Pig will be Pig Latin.
The Pig scripts get inside changed over to Map Reduce occupations and get executed on information put away in HDFS. Aside from that, Pig can likewise execute its work in Apache Tez or Apache Spark.
Pig can deal with an information, i.e., organized, semi-organized or unstructured and stores the relating results into Hadoop Data File System. Each undertaking which can be accomplished utilizing PIG can likewise be accomplished utilizing java utilized in MapReduce.
PROVISIONS OF APACHE PIG
How about we see the different employments of Pig innovation.
- EASE OF PROGRAMMING:-Composing complex java programs for map lessen is very extreme for non-developers. Pig makes this interaction simple. In the Pig, the inquiries are changed over to MapReduce inside.
- Optimization openings :-It is the means by which undertakings are encoded licenses the framework to streamline their execution naturally, permitting the client to zero in on semantics instead of productivity.
- Extensibility :-A client characterized work is written in which the client can compose their rationale to execute over the informational collection.
- 4) Flexible :-It can without much of a stretch handle organized just as unstructured information.
- In-fabricated administrators :-It contains different kind of administrators like sort, channel and joins.
BENEFITS OF APACHE PIG
- Less code – The Pig devours less line of code to play out any activity.
- Reusability – The Pig code is adequately adaptable to reuse once more.
- Settled information types – The Pig gives a helpful idea of settled information types like tuple, sack, and guide.
