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.
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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
Knowledgeable Presenters, Professional Materials, Excellent Customer Support what else can a person ask for when acquiring a new skill or knowledge to enhance their career. Edureka true to its name is the place to gather garner and garden the knowledge for all around the globe. My Best wishes to Edureka's team for their upcoming bright future in E-Learning sector."
It is a very good experience to learn from edureka!.Faculty seems excellent in sharing real world experiences.I do not feel even for single moment that i am learning from any tutor,it is like face to face gathering with an experienced person sharing it's curriculum knowledge.
Edureka has very good instructors and technical support team, I have completed the course BIG DATA & AWS through web training, and it was very good training, helped me to learn very swiftly. When I stuck up in installation and in writing map reduce programming technical support resolved very quickly and I was very happy with their response in time. As well as they providing life time access for our completed course videos so it will be useful in real time projects. I feel very happy to recommend Edureka for my friends on big data course.
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 found the big data course from Edureka to be comprehensive, and practical. Course instructor was very knowledgeable, and handled the class very well in terms of making it interactive, keeping it interesting, and responding to all questions from students. The support staff was excellent as well, engineers assisted me remotely when I encountered an issue with HDFS even after the course was over. Overall, highly recommend Edureka for big data training and more.
Clean, simple and a fantastic learning resource. The courses are a great resource for personal development and continual learning. They are well structured and provided both ease of access and depth while allowing you to go at your own pace.Support team people is also really very cooperative and helps out at there best.
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).
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