Comprehensive pig certification training

Comprehensive pig certification training
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About The Comprehensive Pig Certification Training

On course completion, the learners will have the in-depth understanding of the various concepts in Pig. The learners will be able to write complex MapReduce transformations using a simple scripting language called Pig Latin. It helps learners to work on Hadoop framework without using Java.

Why this course?

  • 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 the non-Java background, to make their job easier.

About ProICT

Who are we? ProICT LLC is a registered online training provider found and led by the group of IT working professionals and experts. Our trainers are not only highly experienced and knowledgeable but also current IT working Professionals leading IT companies in USA, UK, Canada and other countries. We are ready to share our knowledge and years of working experience with other professionals to assist and guide them get ahead in career.

 


Learning Objectives -  In this module, you will learn the basics of Pig, types of use cases where Pig can 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, COGROUP Operator, Joins and COGROUP, Union, Diagnostic Operators, Pig UDF, Pig Demo on Healthcare Dataset, Project work.

 

On course completion the learners will have in-depth understanding of the various concepts in Pig. The learners will be able to write complex MapReduce transformations using a simple scripting language called Pig Latin. It helps learners to work on Hadoop framework without using Java.

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

The pre-requisites for this course include basic Knowledge in Java.

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.

For your practical work, you will setup ProICT Training's Virtual Machine in your System. This will be a local access for you. The required installation guide is present in LMS.

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 analyze only four of the available columns (Type, Category, Region and Attack On) in the data set.

Problem Statement: Below are a 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 involve Improvised Explosive Devices (IEDs).

 

How soon after Signing up would I get access to the Learning Content?
As soon as you enroll in the course, your LMS (The Learning Management System) access will be functional. You will immediately get access to our course content in the form of a complete set of Videos, PPTs, PDFs, and Assignments. You can start learning right away.

What are the payment options?
For USD payment, you can pay by Paypal. 

What if I have more queries?
You can give us a CALL at +1 718-715-0914