Big Data with Cloud Computing: Discussions and Challenges
With the recent advancements in computer technologies, the amount of data available is increasing day by day. However, excessive amounts of data create great challenges for users. Meanwhile, cloud computing services provide a powerful environment to store large volumes of data. They eliminate variou...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2022-03-01
|
| Series: | Big Data Mining and Analytics |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2021.9020016 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832572949891121152 |
|---|---|
| author | Amanpreet Kaur Sandhu |
| author_facet | Amanpreet Kaur Sandhu |
| author_sort | Amanpreet Kaur Sandhu |
| collection | DOAJ |
| description | With the recent advancements in computer technologies, the amount of data available is increasing day by day. However, excessive amounts of data create great challenges for users. Meanwhile, cloud computing services provide a powerful environment to store large volumes of data. They eliminate various requirements, such as dedicated space and maintenance of expensive computer hardware and software. Handling big data is a time-consuming task that requires large computational clusters to ensure successful data storage and processing. In this work, the definition, classification, and characteristics of big data are discussed, along with various cloud services, such as Microsoft Azure, Google Cloud, Amazon Web Services, International Business Machine cloud, Hortonworks, and MapR. A comparative analysis of various cloud-based big data frameworks is also performed. Various research challenges are defined in terms of distributed database storage, data security, heterogeneity, and data visualization. |
| format | Article |
| id | doaj-art-670b2d8ba4854b869454be9b8876d14f |
| institution | Kabale University |
| issn | 2096-0654 |
| language | English |
| publishDate | 2022-03-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Big Data Mining and Analytics |
| spelling | doaj-art-670b2d8ba4854b869454be9b8876d14f2025-02-02T06:14:04ZengTsinghua University PressBig Data Mining and Analytics2096-06542022-03-0151324010.26599/BDMA.2021.9020016Big Data with Cloud Computing: Discussions and ChallengesAmanpreet Kaur Sandhu0University Institute of Computing, Chandigarh University, Mohali 140413, IndiaWith the recent advancements in computer technologies, the amount of data available is increasing day by day. However, excessive amounts of data create great challenges for users. Meanwhile, cloud computing services provide a powerful environment to store large volumes of data. They eliminate various requirements, such as dedicated space and maintenance of expensive computer hardware and software. Handling big data is a time-consuming task that requires large computational clusters to ensure successful data storage and processing. In this work, the definition, classification, and characteristics of big data are discussed, along with various cloud services, such as Microsoft Azure, Google Cloud, Amazon Web Services, International Business Machine cloud, Hortonworks, and MapR. A comparative analysis of various cloud-based big data frameworks is also performed. Various research challenges are defined in terms of distributed database storage, data security, heterogeneity, and data visualization.https://www.sciopen.com/article/10.26599/BDMA.2021.9020016big datadata analysiscloud computinghadoop |
| spellingShingle | Amanpreet Kaur Sandhu Big Data with Cloud Computing: Discussions and Challenges Big Data Mining and Analytics big data data analysis cloud computing hadoop |
| title | Big Data with Cloud Computing: Discussions and Challenges |
| title_full | Big Data with Cloud Computing: Discussions and Challenges |
| title_fullStr | Big Data with Cloud Computing: Discussions and Challenges |
| title_full_unstemmed | Big Data with Cloud Computing: Discussions and Challenges |
| title_short | Big Data with Cloud Computing: Discussions and Challenges |
| title_sort | big data with cloud computing discussions and challenges |
| topic | big data data analysis cloud computing hadoop |
| url | https://www.sciopen.com/article/10.26599/BDMA.2021.9020016 |
| work_keys_str_mv | AT amanpreetkaursandhu bigdatawithcloudcomputingdiscussionsandchallenges |