YouTube Data Analysis using Amazon Web Services |
Author(s): |
| Vikram Shirsat , Sanjivani College of Engineering; Prasad Bhawar, Sanjivani College of Engineering; Avinash Khamanekar, Sanjivani College of Engineering; Sanket Jape, Sanjivani College of Engineering; Bhagyashri Kotame, Sanjivani College of Engineering |
Keywords: |
| YouTube, Data Analysis, Big Data, Data Visualization |
Abstract |
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YouTube is one of the biggest data-producing platforms. The YouTubers or the users can post their content, along with video likes, video watch count, number of comments, and subscriber count. This study is to help readers to understand how we can manage big data and we can make important business decisions from the analyzed data. The primary goal of this study is to implement and extract meaningful insights and knowledge from the data that can inform decision-making, optimize processes, and improve business outcomes. This study involves several steps, including data collection, processing, cleaning, modeling, and visualization. Many platforms produce a huge amount of data, but for this study, we will focus on one of the biggest data-producing platforms, YouTube. Applications are 1. A well-mannered dashboard is accessible 2. Users can take their business decisions according to the output of the visualized data in a dashboard and increase their business growth and potential. |
Other Details |
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Paper ID: IJSRDV11I30261 Published in: Volume : 11, Issue : 3 Publication Date: 01/06/2023 Page(s): 342-348 |
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