Consuming E-Learning Twitter Data by Live Streaming
Adlin Sheeba, S. Padmakala, B. Uma Maheswari, J. Ramya · 2021
In the previous decade, e-learning has been increasingly hot and is still heading for another summit, evidently due to its straightforward entry and the speed the e-learner controls. A participant in e-learning does not need to be a qualified computer operator and they are not relied upon to be limited by age or background. Unquestionably, people's views on the vast voluminous e-learning data need to be investigated. Twitter is one of the famous social networks that receives a large number of tweets every day. Data streaming is a revolutionary concept in big data where data size extends a lot from internet-based life, inclining pages, and smartphone devices. Data streaming today eagerly tends to gather live streaming data to perform research and produce results for data prediction while complication factor emerges that talented expert is necessary to deal with this situation of acquiring live stream data using complex coding and queries. The proposed approach uses technique that uses massive pieces of information such as Flume, Hadoop Distributed File System to configure twitter's framework for collecting live e-Iearning tweets from twitter. For sentimental research, the data is inserted into the hive table.