Brief Summary
This course dives into the world of big data using Apache Pig, a handy tool that makes processing data super simple. You’ll learn how to write scripts with Pig Latin and understand the big picture of Big Data and Hadoop.
Key Points
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Introduction to Big Data and Hadoop
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Understanding MapReduce Framework
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Learning Pig Latin for data processing
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Using built-in and user-defined functions
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Exploring advanced topics like PIG Macros
Learning Outcomes
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Write complex data transformations with Pig Latin.
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Understand and apply the MapReduce framework.
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Effectively use built-in and user-defined functions.
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Run and test Pig scripts smoothly.
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Explore advanced features like embedding Pig in Java.
About This Course
Learn analyzing and processing big data Using Apache Pig
Pig is a high-level platform for creating MapReduce programs used with Hadoop. The language for this platform is called Pig Latin. In this course we will go through the PIG data flow platform and the language used by PIG tool. The concepts which are covered in this course are:
Writing complex MapReduce transformations using a simple scripting language.
Basics of Big Data, Hadoop and MapReduce Framework.
PIG Data Model and Different type of operators to operate on datasets.
Built-in Functions as well as User Defined Functions for performing a specific task.
Running PIG Script, Unit Testing and Compression.
Many more advance topics such as Embedding PIG in Java, PIG Macros etc.
All the books and PDFs are included, allowing you to follow along with the author throughout the modules in this course.
Overview of Big Data and Hadoop Framework
Anatomy of a MapReduce Framework
Basics of Apache Pig tool and Where we should use it or not
Felipe D. M. R. D. S.
ConteĂşdo muito bem explicado sobre PIG