A Comparative Study on Different Big Data Tools

dc.contributor.authorIbtisum, Sifat
dc.date.accessioned2020-12-04T22:44:13Z
dc.date.available2020-12-04T22:44:13Z
dc.date.issued2020
dc.description.abstractBig data has long been the topic of fascination for computer science enthusiasts around the world, and has gained even more prominence in recent times with the continuous explosion of data resulting from the likes of social media and the quest for tech giants to gain access to deeper analysis. This paper discusses various tools in big data technology and conducts a comparison among them. Different tools namely Sqoop, Apache Flume, Apache Kafka, Hive, Spark and many more are included. Various datasets are used for the experiment and a comparative study is made to figure out which tool works faster and more efficiently over the others, and explains the reason behind this.en_US
dc.identifier.urihttps://hdl.handle.net/10365/31657
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU policy 190.6.2en_US
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdfen_US
dc.subject.lcshBig data.
dc.subject.lcshDatabase management.
dc.subject.lcshData mining.
dc.titleA Comparative Study on Different Big Data Toolsen_US
dc.typeMaster's paperen_US
ndsu.advisorNygard, Kendall
ndsu.collegeEngineeringen_US
ndsu.degreeMaster of Science (MS)en_US
ndsu.departmentComputer Scienceen_US
ndsu.programComputer Scienceen_US

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