YouTube Data Analysis On A Hadoop Map Reduce Environment Project in Java with Source Code and Report [ download ]

In this page YouTube Data Analysis On A Hadoop Map Reduce Environment project is a web application which is developed in Java platform. This Java project with tutorial and guide for developing a code. YouTube Data Analysis On A Hadoop Map Reduce Environment is a open source you can Download zip and edit as per you need. If you want more latest Java projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. This project can edit using a Eclipse IDE. Following Java project contains all the important features which can be in use for the BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering, Computer Science students and Devloper for their college projects. This script developed by Kalaiselvi Elumalai. This web application 100% working smooth without any bug. It is developed using hadoop and Database hdfs. This software code helpful in academic projects and research paper for final year computer science. To download YouTube Data Analysis On A Hadoop Map Reduce Environment project in Java with source code files, please scroll down to the bottom of this page for the Download Zip file of source code button.

About project

project Name	YouTube Data Analysis On A Hadoop Map Reduce Environment
Project Complexity	advanced
Duration	15 Days
project ID	2238
Developer Name	Kalaiselvi Elumalai
Publish Date	April 21, 2018
project Platform	Java
Programming Language	For this particular Java project, hadoop is required
Front End	JavaFX and Swing, HTML, CSS, JavaScript
Back End	MySQL, PostgreSQL, Oracle Database, MongoDB
IDE Tool	Eclipse
Database Integration	hdfs
project Type	web Application
No of project Download	97
project Total View	3550
Today Trends	111
Current Month Trends	118
Last Month Trends	11

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Class Diagrams

Use Case Diagrams

Entity–relationship(ER) Diagrams

DFD Diagrams

Sequence Diagrams

Features of the YouTube Data Analysis On A Hadoop Map Reduce Environment project

We will implement the following feature in the Java YouTube Data Analysis On A Hadoop Map Reduce Environment Project:

Our project deals with gathering the data from the YouTube API. The video statistics obtained from the API is stored into the HDFS (Hadoop Distributed File System) and the data processing is done by the MapReduce system. The top 5 rated videos in each category is queried and obtained by the mapper and the reducer code. The entire Hadoop environment is set up and deployed on a private cloud. During the first seven-day focus will be on setting up the Hadoop cluster in the Openstack environment, extracting YouTube data, pre-processing it and creating the basic shell of the whole application. The next 3 weeks will be spent on ensuring clean storage of YouTube data in HDFS, writing the mapper and reducer code and displaying result on a webpage. The last eight days will be used to perform validation and testing to ensure proper functionality along with documentation. The text file output generated from the console application is then loaded from HDFS (Hadoop Distributed File System) file into HIVE database. Hive uses a SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop. HDFS (Hadoop Distributed File System) is a primary Hadoop application and a user can directly interact with HDFS using various shell-like commands supported by Hadoop. This project uses SQL like queries that are later run on Big Data using HIVE to extract the meaningful output which can be used by the management for analysis.

User modules and function of YouTube Data Analysis On A Hadoop Map Reduce Environment

We will implement the following functionalities in the Java YouTube Data Analysis On A Hadoop Map Reduce Environment Project:

Software requirement to run this project

IDE : Eclipse, IntelliJ IDEA, NetBeans, Oracle JDeveloper, Visual Studio Code (VS Code), BlueJ, JDeveloper Programming Languages and Frameworks : Java 20, Java 22 Database : MySQL, PostgreSQL, Oracle Database, MongoDB, Maria DB (depending on the project's data requirements) Application Servers : Apache Tomcat, Jetty, or others depending on deployment needs

Hardware requirement to run this project

Processor : A multi-core processor ( Intel Core i5 or i7, AMD Ryzen 5 or 7) for faster compilation and running IDE smoothly. RAM : Minimum requirements 8GB RAM is recommended for comfortable development. More RAM (16GB or higher) may be beneficial for larger projects or if running multiple applications simultaneously. Storage : SSD for fast read/write, HDD Operating System : Windows, macOS, Linux

How to install the project?

After you finish downloading the project, unzip the project file.

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Why a download YouTube Data Analysis On A Hadoop Map Reduce Environment project from kashipara?

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UML & Technical Diagrams Included:
- Class diagrams
- Use Case diagrams
- Entity–relationship(ER) diagrams
- Data flow diagram(DFD)
- Sequence diagram
- Software Requirements Specification (SRS)
This project Ideal for Academic Projects Perfect for B.E., B.Tech, MCA, BCA, BSc CS, and IT students
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