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Research Challenges in Big Data Solutions in Different Applications

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Social Network Forensics, Cyber Security, and Machine Learning

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSFOMEBI))

Abstract

Data is the most important unit of information. Now a day, data are being generated in a phenomenal speed. Data is being collected from various sources like social media, sensors, machines, etc. To get vital information, it is very important that the data should get processed in very smart and intelligent way. Traditional approach of processing data is not capable of processing the humongous data generated these days. So to overcome the problem of smart processing of data, Big Data analytics came into existence. Many scientists are working to make it more efficient. This technique is using the latest ways to process the data generated from various sources. It’s just not only store and process the data, but keep the integrity of the data also, as some data are very confident for the organizations. If some organization is sharing their data, their primary requirement is the confidentiality and integrity of the data. Big Data analytics take care of the requirement of the organization. It has been proven a very powerful method for processing of data in the area of surveillance, health care, fraud detection, reduction of crime, etc. The purpose of this paper is to discuss the features of Big Data and its applications. In this paper, the state of the art and applications of Big Data will be discussed. We hashed out about the work already done in the area of improving the integrity and usability of data generated by using Big Data analytics techniques. This will also cover the latest solutions offered by the researchers for the challenges in Big Data analytics.

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Authors and Affiliations

  1. Wadi Addawasir, Riyadh, Saudi Arabia

    Bhawna Dhupia

  2. Department of of Computer Science, SPMVV, Tirupati, India

    M. Usha Rani

Authors
  1. Bhawna Dhupia
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  2. M. Usha Rani
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Correspondence to Bhawna Dhupia .

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Dhupia, B., Usha Rani, M. (2019). Research Challenges in Big Data Solutions in Different Applications. In: Social Network Forensics, Cyber Security, and Machine Learning. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore. https://doi.org/10.1007/978-981-13-1456-8_9

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