Learn Pig Scripting for Big Data
0.0 (0 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
31 students enrolled
Wishlisted Wishlist

Please confirm that you want to add Learn Pig Scripting for Big Data to your Wishlist.

Add to Wishlist

Learn Pig Scripting for Big Data

PIG Scripting for Big Data Testing
0.0 (0 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
31 students enrolled
Last updated 5/2017
English
Curiosity Sale
Current price: $10 Original price: $20 Discount: 50% off
30-Day Money-Back Guarantee
Includes:
  • 1.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • At the end of this course, students would understand the PIG as Testing Technology which are used in Big Data and they can start working in testing profile.
  • At the end of this tutorial, students would be able to start their career in Big Data Testing with this technology at different levels.
View Curriculum
Requirements
  • As such there is no prerequisite required for this course and it is useful for any level of tester. Any Tester profile candidate can start this tutorial.
  • Any QA can start this course who has basic knowledge of any database and there is no specific prerequisite.
Description

This course is for Testing profile candidate who wanted to build there career into Big Data Testing. So I have designed this course so they can start learning big data technologies from scratch. All the users who are working or looking for Job in QA profile or wanted to move into big data testing domain should take this course and go through the complete tutorials.

I have included the material which is needed for big data testing profile and it has all the necessary contents which includes practical examples as well depends on questions and there practicality.

It will give the detailed information for different uses and different behaviors of Pig as a Big Data Testing Tool along with its real implementation which is needed by the tester to move into bigger umbrella i.e. Big Data Testing.

This course is well structured with all elements of different technologies in practical manner separated by different topics. Students should take this course who wanted to move into big data testing to advance their career.

Who is the target audience?
  • Any Level of Testing Profile Candidate is the target audience for this course.
  • Any big data QA beginner use this technology.
Students Who Viewed This Course Also Viewed
Curriculum For This Course
15 Lectures
01:22:44
+
Big Data Testing with PIG - Introduction
3 Lectures 12:43


PIG Installation
07:36
+
Practical Examples - Pig Queries
4 Lectures 34:03
Pig Execution Modes
04:33

How to Load Data ?
09:36


Example - Load HDFS Data using PIG Script
11:43
+
Pig Queries with Different Filters
3 Lectures 12:44
Example - Different PIG Scripts Filters
05:05

Group By Example in PIG Script
04:44

How to verify Schema and MetaData in PIG?
02:55
+
Pig History
5 Lectures 23:14
Different PIG Execution Modes
03:58

Why We Need PIG?
03:40

Different PIG Features
04:14

Why We Use PIG and Why Not PIG?
05:34

PIG Components and Architecture
05:48
About the Instructor
Big Data Module Lead QA Engineer Big Data QA
3.5 Average rating
201 Reviews
4,937 Students
12 Courses
Big Data QA Module Lead

Having more than 9 yrs industry experience.

Worked on different big data tools like Hadoop, Cassandra, HBase, Hive, Pig, Sqoop, Flume etc. 

ISTQB Certified professional. I have worked with CMMi level 5 companies and provided services to clients in fortune 15 companies like AT&T.

Trained more than 100 professionals in classroom training and more than 50 professionals online.

Training has been my passion and I am on my way to create courses which should help any beginner to step by step learn and be able to become a Big data QA expert.