Big Data Issues, Challenges and Techniques: A Survey

  • Tariq Mehboob Department of Information Technology, Lahore Garrison University Lahore, 54000, Pakistan
  • Irshad Ahmed Ahmed lahore garrison university
  • Ayesha Afzal Department of Information Technology, Lahore Garrison University Lahore, 54000, Pakistan
Keywords: Big Data, Velocity, variety, Heterogeneity, Hadoop, Apache Spark,YottaByte

Abstract

The data is growing daily due to the revolution in Information Technology, and the data size is much bigger than traditional data. Big data is the combination of data sets which is huge and diverse. Big data has multifaceted characteristics like Volume, Variety, Veracity, Velocity and Value (5Vs). Due to these characteristics and versatility, many issues and challenges occur in data retrieving and manipulation. The data management and processing issues are also facing data analysts and researchers. The existing traditional tools and algorithms are not capable of resolving these issues. In this survey paper, we will provide the current issues and challenges in the field of big data and discuss in detail the big data tools (Hadoop, Apache Spark) to use in different applications to serve the end users.

Published
2022-09-26
How to Cite
[1]
T. Mehboob, I. Ahmed, and A. Afzal, “Big Data Issues, Challenges and Techniques: A Survey”, PakJET, vol. 5, no. 2, pp. 216-220, Sep. 2022.