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Big Data Study-Basics,Techniques and Tools


Affiliations
1 Department of Computer Engineering, Punjabi University, Patiala, India
 

A lot of technologies revolution are driving rapid increase in data generation and data gathering. This is why big data is today's buzzword in every science and engineering domain. Big Data is similar to small data but bigger in size. Big data is not being greater than certain number of petabytes or terabytes. This can be assumed technology expands over time and data set size which is assumed as Big Data will also increases. Data is increasing day by day exponentially so today data is increased beyond the storage capacity of traditional databases. To process and analyze such datasets which cannot be stored in traditional databases Big Data tool like Hadoop is used. This paper will discuss the introduction, characteristics and various tools used to process and analyze big data.

Keywords

Big Data, Data Types, Volume, Velocity, Traditional Data, Sources, Hadoop, MapReduce, HDFS, Tools.
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  • Big Data Study-Basics,Techniques and Tools

Abstract Views: 217  |  PDF Views: 5

Authors

Tara Singh
Department of Computer Engineering, Punjabi University, Patiala, India
Karandeep Singh
Department of Computer Engineering, Punjabi University, Patiala, India

Abstract


A lot of technologies revolution are driving rapid increase in data generation and data gathering. This is why big data is today's buzzword in every science and engineering domain. Big Data is similar to small data but bigger in size. Big data is not being greater than certain number of petabytes or terabytes. This can be assumed technology expands over time and data set size which is assumed as Big Data will also increases. Data is increasing day by day exponentially so today data is increased beyond the storage capacity of traditional databases. To process and analyze such datasets which cannot be stored in traditional databases Big Data tool like Hadoop is used. This paper will discuss the introduction, characteristics and various tools used to process and analyze big data.

Keywords


Big Data, Data Types, Volume, Velocity, Traditional Data, Sources, Hadoop, MapReduce, HDFS, Tools.