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Syed Muhammad Fawad Ali

dblp:208/0040 · DBLP profile ↗
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4ranked-venue papers
4as first author
0since 2021 · last 2020
0000-0001-5886-8193ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 4 · 4 first-authorArtificial intelligence and machine learning · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Data integration and cleaning · 87% Database system architecture and tuning · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data integration and cleaning › extract-transform-load
ETL process optimization		 0.312017
From conceptual design to performance optimization of ETL workflows: current state of research and open problems · VLDB J. 2017
Data integration and cleaning › extract-transform-load
ETL workflows		 0.312017
From conceptual design to performance optimization of ETL workflows: current state of research and open problems · VLDB J. 2017
YearPublicationVenuePosition
2020 Framework to Optimize Data Processing Pipelines Using Performance Metrics
Syed Muhammad Fawad Ali, Robert Wrembel
 DaWaK1
2019 Towards a Cost Model to Optimize User-Defined Functions in an ETL Workflow Based on User-Defined Performance Metrics
Syed Muhammad Fawad Ali, Robert Wrembel
 ADBIS1
2018 Next-generation ETL Framework to Address the Challenges Posed by Big Data
Syed Muhammad Fawad Ali
 DOLAP1
2017 From conceptual design to performance optimization of ETL workflows: current state of research and open problems
abstract
In this paper, we discuss the state of the art and current trends in designing and optimizing ETL workflows. We explain the existing techniques for: (1) constructing a conceptual and a logical model of an ETL workflow, (2) its corresponding physical implementation, and (3) its optimization, illustrated by examples. The discussed techniques are analyzed w.r.t. their advantages, disadvantages, and challenges in the context of metrics such as autonomous behavior, support for quality metrics, and support for ETL activities as user-defined functions. We draw conclusions on still open research and technological issues in the field of ETL. Finally, we propose a theoretical ETL framework for ETL optimization.
Syed Muhammad Fawad Ali, Robert Wrembel
 VLDB J.1