Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop
Social Media Analysis Using Hadoop
Hadoop,Data Analysis,Social Media Analysis,Development,Data Science,
Lectures -23
Duration -3 hours
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Course Description
This course is basically intended for users who are interested to learn about the application of Hadoop technologies and how to work on the data sets with ease in particular. We are going to learn about -Social Media – Analysis of bookmarking site data.
The training includes analyzing the following data in the HDFS,
1. Get the data from RDMS to the file system in order to process it in Hadoop.
2. Convert XML data into structure format data.
3. Split the data into two parts category and rating
4. now we need to analyze this data based on whether their comments are positive or negative.
5. We can add more scenarios with respect to the social media industry.
Technology that will be used:-
- Sqoop
- MapReduce
- Pig
- Hive
Target Customers:
- Students
- Professionals
- Data analysts/developers
- Anyone who wants to learn about application of Hadoop
Prerequisites
What are the prerequisites for this course?
- Basic Computer Knowledge
- Experience of coding
- Basic knowledge of Hadoop Distributed File System (HDFS)
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
- Introduction to Social Media Industry 08:35 08:35
Book Marking Website
2 Lectures
Understanding Sqoop
3 Lectures
Analyze Book Performance and Book Reader
5 Lectures
How to Process XML File in PIG
2 Lectures
Book Performance
2 Lectures
Pig XML File Output Using Book
3 Lectures
Book Marking DataSet
5 Lectures
Instructor Details
Corporate Bridge Consultancy Private Limited
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