Contribution in Big Data Projects Management
Nowadays, the necessity of the data becomes more attractive by companies in different areas (IT, space, automotive) who need to create and capture the value from the huge amounts of data generated from various sources. Many fields need to use this amount in the right way in real time with high level...
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Format: | Article |
Language: | English |
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EDP Sciences
2022-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/18/e3sconf_icies2022_01066.pdf |
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author | Errezgouny Abderrachid Cherkaoui Abdeljabbar |
author_facet | Errezgouny Abderrachid Cherkaoui Abdeljabbar |
author_sort | Errezgouny Abderrachid |
collection | DOAJ |
description | Nowadays, the necessity of the data becomes more attractive by companies in different areas (IT, space, automotive) who need to create and capture the value from the huge amounts of data generated from various sources. Many fields need to use this amount in the right way in real time with high level processing, this evolution is called Big Data (BD). In this case, to manage a BD project the specific tools like Machine Learning, Data Mining, and more are very important to achieve the customer satisfaction with the expected quality of services. The majority of BD projects fall due to the lack of managing skills and team training, also the sophisticated materials and technologies are required. This paper presents our contribution in the project management of BD based on other discussed methods like Project Management Body of Knowledge (PMBoK) and Agile approaches, and we use them to construct a rigid model for managing any project dedicated to work with BD. |
first_indexed | 2024-04-12T11:04:43Z |
format | Article |
id | doaj.art-a4179b41d60b4175b8deedf63d652533 |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-04-12T11:04:43Z |
publishDate | 2022-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj.art-a4179b41d60b4175b8deedf63d6525332022-12-22T03:35:50ZengEDP SciencesE3S Web of Conferences2267-12422022-01-013510106610.1051/e3sconf/202235101066e3sconf_icies2022_01066Contribution in Big Data Projects ManagementErrezgouny Abderrachid0Cherkaoui Abdeljabbar1Laboratory of Innovative Technologies (LIT), National School of Applied Sciences, Abdelmalek Essaadi UniversityLaboratory of Innovative Technologies (LIT), National School of Applied Sciences, Abdelmalek Essaadi UniversityNowadays, the necessity of the data becomes more attractive by companies in different areas (IT, space, automotive) who need to create and capture the value from the huge amounts of data generated from various sources. Many fields need to use this amount in the right way in real time with high level processing, this evolution is called Big Data (BD). In this case, to manage a BD project the specific tools like Machine Learning, Data Mining, and more are very important to achieve the customer satisfaction with the expected quality of services. The majority of BD projects fall due to the lack of managing skills and team training, also the sophisticated materials and technologies are required. This paper presents our contribution in the project management of BD based on other discussed methods like Project Management Body of Knowledge (PMBoK) and Agile approaches, and we use them to construct a rigid model for managing any project dedicated to work with BD.https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/18/e3sconf_icies2022_01066.pdf |
spellingShingle | Errezgouny Abderrachid Cherkaoui Abdeljabbar Contribution in Big Data Projects Management E3S Web of Conferences |
title | Contribution in Big Data Projects Management |
title_full | Contribution in Big Data Projects Management |
title_fullStr | Contribution in Big Data Projects Management |
title_full_unstemmed | Contribution in Big Data Projects Management |
title_short | Contribution in Big Data Projects Management |
title_sort | contribution in big data projects management |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/18/e3sconf_icies2022_01066.pdf |
work_keys_str_mv | AT errezgounyabderrachid contributioninbigdataprojectsmanagement AT cherkaouiabdeljabbar contributioninbigdataprojectsmanagement |