About The Course
There is data explosion all around us and intelligent businesses know that this data needs to be leveraged to ensure business continuity. Apache Pig was developed to run queries on large data sets that are stored in HDFS and run on Hadoop. Apache Pig is known for its simplistic syntax and ability to decrease development time and hence is widely used by organizations that analyse Big Data.
During the Comprehensive Pig Training
After the consummation of the Comprehensive Pig course at GKLM Tech you will have the capacity to:
- Comprehend the advantages and components of Pig
- Perform Data Analytics utilizing Pig
- Figure out how to compose your own particular capacities to do exceptional reason preparing
- Simple programming of Complex undertakings including interrelated information changes encoded as information stream groupings
- Comprehend propelled Pig ideas like Relational Operators File Loaders Group and Co assemble administrator Union Pig UDF
- Deal with a Real life extend in Pig Latin and pick up hands on Project Experience
- Towards the finish of the Course you will chip away at a live venture where you will utilize PIG to perform Big Data examination. Here are the few Industry astute Big Data contextual investigations that you will take a shot at:
- Extend #1: Analyzing Aadhar Card Data
- Industry: Government Sector
- Information: The informational index comprises of the accompanying fields: State:This field comprises of the state names from all over India City:This field comprises of city names in all states Approved:This field comprises of the aggregate include of endorsed cards numbers Rejected:This field comprises of the aggregate include of rejected cards numbers
- Issue Statement: Below are few of the issue articulations that we have chipped away at this informational index:
- Find out the aggregate number of cards affirmed by states
- Find out the aggregate number of cards rejected by states
- Find out the aggregate number of cards affirmed by urban areas.
- Find out the aggregate number of cards rejected by urban communities.
- Extend #2: Analysis of Afghan War Diaries
- Industry: Government Sector
- Information: The information was composed by troopers and insight officers of the United States Military. To keep it basic we will break down just four of the accessible sections Type Category Region and Attack On in the informational index.
- Issue Statement: Below are few of the issue articulation that we have chipped away at this informational collection:
- To inspect every one of the occasions that include hazardous perils.
- To look at unstable occasions that includes Improvised Explosive Devices IEDs.
Learning Objectives In this module you will take in the nuts and bolts of Pig sorts of utilization situations where Pig van be utilized tight coupling amongst Pig and Map Reduce and Pig Latin scripting.
Points About Pig Map Reduce Vs Pig Use Cases Programming Structure in Pig Running Modes Pig segments Pig Execution Pig Latin Program Data Models in Pig Data Types Project work
Learning Objectives In this module you will take in more propelled ideas in Pig like Pig Latin and the diverse capacities and devices like Operators and loaders and so forth.
Subjects 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.
1. At the end of your course you will work on a real time Project. You will receive a Problem Statement along with a dataset to work.
2. Once you are successfully through with the project reviewed by an expert you will be awarded a certificate with a performance based grading.
3. If your project is not approved in 1st attempt you can take additional assistance to understand the concepts better and reattempt the Project free of cost.