Big Data Optimization Using Hive.

Traditional database management systems can not deal with big data challenges and too large and complex datasets. Big data covers a wide area of research and work with and on data – large amounts of data, new technologies for storing and processing data as well as changes in the interpretation of data. Apache Hadoop is a platform that was invented to manage big data. Apache Hive is a query and analysis engine built on top of Hadoop. Although Hadoop/Hive can process any amount of data, optimization can significantly improve the processing time and cost. The main idea of the paper is to analyze some possible big data optimization techniques for improving the query performance on Hadoop using Hive. [ABSTRACT FROM AUTHOR]