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Apache Pig was originally developed at Yahoo Research around 2006.
companies like Yahoo, Google and Microsoft use Pig for ad-hoc processing and analysis of all the information.
Pig is also created for professionals from non-Java background, to make their job easier.
Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You'll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.
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Learning Objectives - In this module, you will learn the basics of Pig, types of use cases where Pig van be used, tight coupling between Pig and Map Reduce, and Pig Latin scripting.
Topics - About Pig, Map Reduce Vs Pig, Pig Use Cases, Programming Structure in Pig, Pig Running Modes, Pig components, Pig Execution, Pig Latin Program, Data Models in Pig, Pig Data Types, Project work
Learning Objectives -In this module you will learn more advanced concepts in Pig like Pig Latin and the different functions and tools like Operators and loaders etc.
Topics - Pig Latin : Relational Operators, File Loaders, Group Operator, CO GROUP Operator, Joins and CO GROUP, Union, Diagnostic Operators, Pig UDF, Pig Demo on Healthcare Data set, Project work.
After the completion of the Comprehensive Pig course at Edureka, you will be able to:
1. Understand the benefits and features of Pig
2. Perform Data Analytics using Pig
3. Learn to write your own functions to do special-purpose processing
4. Easy programming of Complex tasks involving interrelated data transformations encoded as data flow sequences
5. Understand advanced Pig concepts like Relational Operators, File Loaders, Group & Co-group operator, Union, Pig UDF
6. Work on a Real life project in Pig Latin and gain hands on Project Experience
The course is designed for all those who want to learn Pig and implement it in Hadoop. The following professionals can learn Pig:
1. Analytics Professionals
2. BI /ETL/DW Professionals
3. Project Managers
4. Testing Professionals
5. Mainframe Professionals
6. Software Developers and Architects
7. Graduates aiming to build a career in Big Data and Hadoop
Pig is a very important tool that helps professionals to manage and control Big Data with ease as it can be very effectively implemented in Hadoop. Working on Pig doesn't require Java knowledge. Pig certified professionals are in huge demand in industries managing huge chunk of data.
I have been using Edureka for learning different topics related to Big Data -Hadoop, PIG, HIVE, Cassandra. I am very happy with the training and the help they are providing and I feel better than another online training where I registered for Cassandra. One of great thing is we can download the videos and references for later use, I use these in my commute to work (usually spend 2.5 hrs in train). Thank you for being flexible and proving great opportunity to learn cutting edge technologies - Cheers
I would definitely like to give more than 5 stars to Edureka, i have been associated with more than two years from now, and i have never had any issue or any complains. Support staff is excellent and very professional, the amount of time they spend with each customer is really appreciated. Today I registered for the PMP training, and Mr Shyam from sales was extremely good to do the registration process. Keep up the good work , a very well organized and structured company I would say.
I got full value from Edureka's DevOps course. I had to come out of my comfort zone as I was expecting a lot theory but this had continuous Lab/practice by the trainer in all trending tools - GIT, GitHub, Jenkins, Docker, Puppet & Nagios. Trainer was very knowledgeable and helpful. High technical content/slides. Timing was great due to promotion offer for free self-paced Chef & Ansible & Jenkins-indepth modules. Sometimes had to ask trainer to slow down and some install commands were failing at times but these were were minor as I learned how to handle such issues. Am now all set to work/manage with confidence in a DevOps environment. Edureka had also called me prior to the training to capture my needs.
I'm currently enrolled in a lot of courses offered at Edureka, so I'm attending live classes and using their study materials, course projects, have access to support staff and teachers. I can confidently say Edureka staff is very hard working and committed to help students which is reliable. Course instructors are experienced candidates from industry who know what they are teaching. Course materials are pretty comprehensive and students need to work very hard to finish course projects, pass the project interviews and gain certification. I say, it is worth it.
A total Hands Down!!! Teaching 5/5, Tech Support 5/5, Quality of education 5/5. This is by far 1 stop solution for your studies. I took Python course and was amazed by the teaching. Amazing teachers and course material. 24x7 support for even small queries now that's what I call a pure dedication. I love the whole edureka team. You just got a permanent customer Edureka. Thank you for all the small and big things you did for me. A special thanks to sales team for going out of the way to help me understand the course module and providing me with wonderful offers ;) Cheers:)
Edureka aptly named, gives the students a Eureka" Moment during the course. Learning is a world to explore and Edureka provides us with the navigation maps. I never for a minute felt that I am doing this course online away from the faculty and the staff."
Towards the end of the Course, you will be working on a live project where you will be using PIG to perform Big Data analytics. Here are the few Industry-wise Big Data case studies that you will work on:
Project #1: Analysing Aadhar Card Data
Industry: Government Sector
Data: The data set consists of the following fields: State:This field consists of the state names from all over India City:This field consists of city names in all states Approved:This field consists of the total count of approved cards in numbers Rejected:This field consists of the total count of rejected cards in numbers
Problem Statement: Below are few of the problem statements that we have chosen to work on this data set: 1.Find out the total number of cards approved by states. 2.Find out the total number of cards rejected by states. 3.Find out the total number of cards approved by cities. 4.Find out the total number of cards rejected by cities.
Project #2: Analysis of Afghan War Diaries
Industry: Government Sector
Data: The data was written by soldiers and intelligence officers of the United States Military. To keep it simple, we will analyse only four of the available columns (Type, Category, Region and Attack On) in the data set.
Problem Statement: Below are few of the problem statement that we have chosen to work on this data set: 1.To examine all the events that involve explosive hazards. 2.To examine explosive events that involves Improvised Explosive Devices (IEDs).