원문정보
초록
영어
Data is growing day by day all over the world. The word ''Big-data'' refers to a collection of data sets that are huge and complicated. The data is usually measured in Petabyte or Exabyte. Big data is one of the most talked-about topics in the field of IT. Its role in the future will be very considerable. The massive use of the internet, smartphones and social media has resulted in an increase in data. The usage of such gadgets and the internet not only increases the volume of data but also increases market velocity by allowing into to be moved and shared at light speed across optical fiber and wireless networks. Numerous problems arise as a result of the rapid creation of a large amount of data. So, we presented important concepts of Big-data in this paper. The basic purpose of this paper was to explore Big-data, challenges, and different tools related to it. We studied the previous work in which all writers have well-described big data, its challenges, and how to deal with them. And we have achieved our goal by providing a platform that explored big data challenges and tools for big data storage in detail. Moreover, we have compared these tools by identifying their parameters. In the future, we will find out solutions for these challenges. Furthermore, this paper will open new doors for researchers to explore Big-data, and develop solutions for challenges and unsolved research questions.
목차
I. INTRODUCTION
II. RELATED WORK
III. CHALLENGES
a. Representation of Data
b. Energy Management
c. Scalability
d. Data Visualization
e. Data capturing and then Storing
f. Data Life Cycle Management
IV. DATA STORAGE TOOLS
a. Apache Hadoope
b. MangoDB
c. Apache Spark
V. Conclusion
REFERENCES