In this Learning Apache Pig training course, expert author Tom Hanlon will teach you how to explore, manipulate, and analyze data stored on a Hadoop cluster. This course is designed for the absolute beginner, meaning no experience with Pig is required.
You will start by learning how to use Pig, then jump into learning about Pig and HCatalog. From there, Tom will teach you about advanced Pig, including Pig scripts, parameters in Pig scripts, and Pig and …
Learning Apache Pig
Video description
In this Learning Apache Pig training course, expert author Tom Hanlon will teach you how to explore, manipulate, and analyze data stored on a Hadoop cluster. This course is designed for the absolute beginner, meaning no experience with Pig is required.
You will start by learning how to use Pig, then jump into learning about Pig and HCatalog. From there, Tom will teach you about advanced Pig, including Pig scripts, parameters in Pig scripts, and Pig and Oozie. Finally, this video tutorial will teach you about Pig user defined functions and streaming.
Once you have completed this computer based training course, you will have learned how to explore, manipulate, and analyze big data in the Hadoop ecosystem. Working files are included, allowing you to follow along with the author throughout the lessons.
Pig Latin Group By, For Each And Parallel
00:10:57
Hue With Pig
00:03:48
Pig And HCatalog
What Is HCatalog
00:02:38
Using Catalog With Pig
00:11:01
Advanced Pig
Pig Scripts
00:06:40
Parameters In Pig Scripts
00:06:47
Pig And Oozie
00:08:13
Programming With Pig
Embedded Pig
00:03:18
Pig UDF’s And Streaming
User Defined Functions
00:04:13
Streaming Pig Data Through Custom Scripts
00:09:22
Using Hive UDFs In Pig
00:04:58
Conclusion
Wrap Up
00:03:01
Start your Free Trial Self paced Go to the Course We have partnered with providers to bring you collection of courses, When you buy through links on our site, we may earn an affiliate commission from provider.
This site uses cookies. By continuing to use this website, you agree to their use.I Accept