Earticle

현재 위치 Home

Session Ⅵ : Artificial Intelligence

BIG DATA Challenges, Tools and Techniques

첫 페이지 보기
  • 발행기관
    한국차세대컴퓨팅학회 바로가기
  • 간행물
    한국차세대컴퓨팅학회 학술대회 바로가기
  • 통권
    The 8th International Conference on Next Generation Computing 2022 (2022.10)바로가기
  • 페이지
    pp.157-160
  • 저자
    Rimsha Khalid, Khowla Khaliq, Muhammad Waseem Iqbal, Muhammad Saleem Butt, Muhammad Usman Bilal
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A419764

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

Abstract
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

키워드

Big Data Big Data Analysis Hadoop MangoDB Spark MapReduce.

저자

  • Rimsha Khalid [ Department of Computer Science & IT Superior University Lahore- 54500, Pakistan ]
  • Khowla Khaliq [ Department of Computer Science & IT Superior University Lahore- 54500, Pakistan ]
  • Muhammad Waseem Iqbal [ Department of Software Engineering Superior University Lahore-54500, Pakistan ] Corresponding Author
  • Muhammad Saleem Butt [ Department of Software Engineering Superior University Lahore-54500, Pakistan ]
  • Muhammad Usman Bilal [ Department of Computer Science & IT Superior University Lahore- 54500, Pakistan ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국차세대컴퓨팅학회 [Korean Institute of Next Generation Computing]
  • 설립연도
    2005
  • 분야
    공학>컴퓨터학
  • 소개
    본 학회는 차세대 PC 및 그 관련분야의 학술활동을 통하여 차세대 PC의 학문 및 기술발전을 도모하고 산업발전 및 국제협력 증진을 목적으로 한다.

간행물

  • 간행물명
    한국차세대컴퓨팅학회 학술대회
  • 간기
    반년간
  • 수록기간
    2021~2025
  • 십진분류
    KDC 566 DDC 004

이 권호 내 다른 논문 / 한국차세대컴퓨팅학회 학술대회 The 8th International Conference on Next Generation Computing 2022

    피인용수 : 0건 (자료제공 : 네이버학술정보)

    함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.

      출처 : 네이버학술정보

        0개의 논문이 장바구니에 담겼습니다.

        페이지 저장
        소속기관 조회
        이용자님의 소속기관(단체)이 서비스에 가입되어 있는지 확인해 보십시오.
        기관회원에 소속되어 있는 이용자는 원문을 무료로 이용할 수 있습니다.