"Apache Pig in Big Data | Execution Model & Use Cases Explained | Full Easy Lecture"

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Apache Pig is a powerful Big Data tool used for processing, analyzing, and transforming large datasets in Hadoop.
In this video, we cover Apache Pig in Big Data, including the Execution Model of Pig, its architecture, workflow, and the most important use cases used in real-world data processing. This lecture is perfect for university exams, viva, interviews, and Big Data fundamentals.

What You Will Learn:

What is Pig in Big Data?

Why Pig is used in Big Data systems

Advantages of Pig over traditional programming

Detailed Execution Model of Pig (Parse → Logical Plan → Physical Plan → MapReduce)

Pig Latin basics

Real-life use cases of Pig

Industry applications (logs, ETL, analytics, aggregation)

Exam-focused important questions

Interview-ready points

Perfect For:
B.Tech, BCA, MCA, Diploma, CS/IT students, Big Data beginners, and Hadoop learners preparing for exams.

This video helps in assignments, viva, competitive exams, GATE CS/IT basics, and placements.
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