Hadoop

Large-scale recommender systems using Hadoop and collaborative filtering: a comparative study

With the rapid advancements in internet technologies over the past two decades, the amount of information available online has exponentially increased.  This data explosion has led to the development of recommender systems, designed to understand individual preferences and provide personalized recommendations for desirable new content.  These systems act as helpful guides, assisting users in discovering relevant and appealing information tailored to their specific tastes and interests.  This study's primary objective is to assess and contrast the latest methods utilized

Assessment of big data processing efficiency with SPARK and HIVE technology

In this paper the contemporary technology to big data processing is analyzed. The software solution on Hadoop is developed. And the comparative results of the time efficiency in big data processing with Spark or Hive are described. The approaches to implement the software systems for big data processing with Spark or Hive are suggested.