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Course: Polling Data Analysis in MapReduce,PIG and HIVE - BigData

Polling Data Analysis in MapReduce,PIG and HIVE - BigData

  • Life Time Access
  • Certificate on Completion
  • Access on Android and iOS App
About this Course

This course is basically intended for users who are interested to learn about application of Hadoop technologies and how to work on the data sets with ease in particular. We are going to learn about -Analyze country sensor data for its development Using Hadoop.

The training will involve analyzing polling data of one country name Phillipines. Data will be in json format. You will analyse this data in different big data tools like MR, PIG and Hive and can generate some useful information for that country so government can take some strategical decision in order to country growth and development.

Who is the target audience?

Students, Professionals, Data analysts/developers, Anyone who wants to learn about application of Hadoop

Basic knowledge
  • Basic Experience of coding, Basic knowledge of Hadoop/BigData
What you will learn
  • Students will be able to learn how Big-Data/Hadoop is effective in Real Industry Scenario. learn about application of Hadoop technologies and how to work on the data sets with ease in particular. We are going to learn about -Analyze country sensor data for its development Using Hadoop
Curriculum
Number of Lecture: 18
Total Duration: 06:29:22
Introduction
  • Introduction  

    Understand the case study and real word system architecture of this project, also understand what would be the approach to generate some relevant information from the raw data which should be useful for country development/growth. Input data is attached in the resource section so you can implement the same at your own for practice purpose.

  • Understanding Basics of Big Data and Map-Reduce  

    Understanding of basics of Big Data and Map-Reduce before start processing input data, so it would be easy to understand the actual implementation.

  • Convert Json format file to simple file for further processing  

    Learn how we can convert the Json file format into structure format data in Map-Reduce for further processing.

  • Implementation of Scenario-Generate Male And Female Ratio in MapReduce  

    Learn how we can Implement scenario in MapReduce - Generate Male And Female Ratio

  • Implementation of Scenario - Generate Old Aged Woman Count  

    Learn how we can Implement scenario in MapReduce - Generate Old Aged Woman Count

  • Implementation of Scenario - Expected Income Tax Vs Actual Income Tax  

    Learn how we can Implement scenario in MapReduce - Expected Income Tax Vs Actual Income Tax

  • Implementation of Scenario - Expected Income Tax in coming year  

    Learn how we can Implement scenario in MapReduce -Expected Income Tax in coming year

  • Implementation of Scenario -Educated Vs Non Educated Ration in the country  

    Learn how we can Implement scenario in MapReduce - Educated Vs Non Educated Ration in the country

  • Implementation of Scenario -Native People Reports  

    Learn how we can Implement scenario in MapReduce - Native People Reports (Person belongs to same Country Vs Outsiders)

  • Implementation of Scenario - Generate Report Against the Child Labour Law  

    Learn how we can Implement scenario in MapReduce -Generate Report Against the Child Labour Law

  • Implementation of Scenario -PIG-Introduction to sensor data and approach in PIG  
  • Understand Basics of PIG before Implementing scenario  

    Understand basics of PIG, Pig function, types of function,how to write function to process Json data

  • Implement same Scenario in PIG  

    Understand how we can Implement the same use-cases in PIG which we have implemented in MapReduce

  • Implement Scenario in PIG continue.....  

    Implement the use-cases in PIG continue...

  • Understand Basics of HIVE before  

    Implementing same scenario's in Hive 

  • Implement same use cases in Hive  

    Understand how we can implementation same use cases in Hive

  • Implementation in Hive continue....  

    Implementation in Hive continue.......

  • Conclusion  

    Conclusion - Summary of the Project

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