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pro vyhledávání: '"Erum Mehmood"'
Autor:
Erum Mehmood, Tayyaba Anees, Ahmad Sami Al-Shamayleh, Abdullah Hussein Al-Ghushami, Wajeeha Khalil, Adnan Akhunzada
Publikováno v:
IEEE Access, Vol 11, Pp 63565-63578 (2023)
Heterogeneity is the key aspect of complex networks and smart devices for using it as nature of live streams. The heterogeneous stream-disk join is a significant research topic in real-time processing applications because it can directly affect the d
Externí odkaz:
https://doaj.org/article/a080a2159b9d4cad9adcb358a7cfb389
Publikováno v:
IEEE Access, Vol 9, Pp 41261-41274 (2021)
As rapid decision making in business organizations gain in popularity, the complexity and adaptability of extract, transform, and load (ETL) process of near real-time data warehousing has dramatically increased. The most important part of near real-t
Externí odkaz:
https://doaj.org/article/35190735755f4eec98215745e5e208e7
Autor:
Erum Mehmood, Tayyaba Anees
Publikováno v:
IEEE Access, Vol 8, Pp 119123-119143 (2020)
Contribution: Recently, real-time data warehousing (DWH) and big data streaming have become ubiquitous due to the fact that a number of business organizations are gearing up to gain competitive advantage. The capability of organizing big data in effi
Externí odkaz:
https://doaj.org/article/290ecbdc145644cfb830bcbf9f25a362
Publikováno v:
IEEE Access, Vol 8, Pp 125961-125981 (2020)
Learning to program involves acquisition of various skills including problem solving, fundamental design techniques as well as critical thinking. Generally, most of the novice programmers struggle to develop all these important skill. The research co
Externí odkaz:
https://doaj.org/article/ab2cd9384f874a80887c49f772e55b5f
Autor:
Erum Mehmood, Tayyaba Anees
Publikováno v:
IEEE Access, Vol 7, Pp 134215-134225 (2019)
Data warehousing has been indispensable to enterprises for decades. However, infrequently updated data warehouse environment does not support quicker business decisions and faster data recovery in case of transformation or load issue. Implementation
Externí odkaz:
https://doaj.org/article/36989ef22f6544889ddeb67756f3fcc1
Autor:
Erum Mehmood, Tayyaba Anees
Publikováno v:
Knowledge and Information Systems. 64:3419-3445
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a4690a178b6f69b1ca8eba2f384f245
https://doi.org/10.1007/s10115-022-01757-7
https://doi.org/10.1007/s10115-022-01757-7
Publikováno v:
Journal of Database Management. 31:20-37
Streaming data join is a critical process in the field of near-real-time data warehousing. For this purpose, an adaptive semi-stream join algorithm called CACHEJOIN (Cache Join) focusing non-uniform stream data is provided in the literature. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f355ad796361e3e03a94ed7857b6852
https://doi.org/10.4018/jdm.2020010102
https://doi.org/10.4018/jdm.2020010102
Autor:
M. Asif Naeem, Erum Mehmood
Publikováno v:
2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA).
Near-real-time data warehousing is an emerging area of research in order to meet the high and up-to-date demands of business organizations. This means customers transactions executed at data source level need to reflect into the data warehouse immedi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6233ecb93e0d3e4ff2448a56c30c50e
https://doi.org/10.1109/icccbda.2017.7951887
https://doi.org/10.1109/icccbda.2017.7951887