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Learn how to Analyse Hadoop Data using Apache Pig
A Comprehensive Course on Apache Pig for Everyone! Learn How to Analyse Big Data Stored in Hadoop using Pig Tool.
This Course Includes
udemy
4.2 (41 reviews )
9.5 total hours 
english
Online - Self Paced
course
Udemy
About Learn how to Analyse Hadoop Data using Apache Pig
In this Apache Pig course, you will learn about Pig platform and how to use it to process a large volume of data sets in a parallel way. This includes an overview of Big Data and Hadoop, what data looks like before, during and after a dataflow, what data is supported, and the different forms it can take; how Pig can transform data, and advanced topics on debugging flows, flow optimization and some enterprise-level features of Apache Pig. This course on Apache Pig shows how Pig platform provides an abstraction over the MapReduce model to make the programming easier.
What You Will Learn?
- 1. The fundamentals concepts of Big Data and Hadoop.
- 2. What is Apache PIG and its Use Cases.
- 3. How to set up PIG in Local and MapReduce mode.
- 4. What is PIG Latin Language.
- 5. Working and implementation of PIG Latin Statements.
- 6. How to create a directory and different ways of inserting the Data.
- 7. PIG Latin operators and the supported data types.
- 8. Concepts of PIG Streaming.
- 9. How to write and execute PIG Scripts.
- 10.Built-in Functions and User Defined Functions.
- 11.The structuring of PIG scripts and how they are executed.
- 12.How to write PIG Macros and perform Parameter substitution.
- 13.The use of PIG's Shell and Utility Commands to run your programs.
- 14.How to compress files(input/output/intermediate results).
- 15.Testing and Diagnostics tools to examine and/or debug your programs.