A Systematic Review of Challenges, Tools, and Myths of Big Data Ingestion-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Systematic Review of Challenges, Tools, and Myths of Big Data Ingestion

Published:2022 Issue: Volume: Page:481-494
ISSN:2367-3370
Container-title:Data Science and Security
language:
Short-container-title:

Author:

Irfan Mohammad,George Jossy P.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2211-4_43

Reference48 articles.

1. Qiao L et al (2015) Gobblin: Unifying data ingestion for hadoop. Proc VLDB Endow 8(12):1764–1760. https://doi.org/10.14778/2824032.2824073

2. Noghabi SA et al (2017) Samza: Stateful scalable stream processing at linkedin. Proc VLDB Endow 10(12):1634–1645. https://doi.org/10.14778/3137765.3137770

3. Isah H, Zulkernine F (2018) A scalable and robust framework for data stream ingestion. In: Proceedings—2018 IEEE international conference on big data, big data 2018, pp 2900–2905. https://doi.org/10.1109/BigData.2018.8622360

4. Rooney S, Bauer D, Garces-Erice L, Urbanetz P, Froese F, Tomic S (2019) Experiences with managing data ingestion into a corporate data lake. In: Proceeding of 2019 IEEE 5th international conference on collaboration and internet computing (CIC) no December, pp 101–109. https://doi.org/10.1109/CIC48465.2019.00021

5. Khine PP, Wang ZS (2018) Data lake: a new ideology in big data era. ITM Web Conf 17:03025. https://doi.org/10.1051/itmconf/20181703025

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. File Validation in the Data Ingestion Process Using Apache NiFi;Lecture Notes in Networks and Systems;2024

2. Data Ingestion - Cloud based Ingestion Analysis using NiFi;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3