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Advancements on Automated Data Platform Management, Orchestration, and Optimization

Edited by:

Matteo Francia, PhD, University of Bologna, Italy
Enrico Gallinucci,  PhD, University of Bologna, Italy
Patrick Marcel,  PhD, University of Orléans, France
Stefanie Scherzinger,  PhD, University of Passau, Germany

Submission Status: Open   |   Submission Deadline: 31 October 2024 


Journal of Big Data is calling for submissions to our Collection on "Advancements on Automated Data Platform Management, Orchestration, and Optimization" in conjunction with papers accepted from the workshop: 3RD INTERNATIONAL WORKSHOP ON DATA PLATFORM DESIGN, MANAGEMENT, AND OPTIMIZATION.

Information systems have evolved into complex data platforms supporting end-to-end data-intensive needs, such as storage, computation, and analysis of data with heterogeneous structures. However, smart and comprehensive support for data scientists and architects to govern the data through the whole life cycle is still necessary. The challenges begin with the management of metadata itself in terms of the modeling effort, storage, complexity of retrieval activities, and effective exploitation; these problems are further amplified in the age of data science, which witnesses data scientists prevail over data architects.

Meet the Guest Editors

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Matteo Francia, University of Bologna, Italy

Matteo Francia is a Junior Assistant Professor at the University of Bologna, Italy, where he earned his Ph.D. in Computer Science and Engineering. His research focuses on advanced analytics and unconventional data, with particular reference to trajectory, social, and sensory data. He authored publications in international conferences and journals on these subjects, including Information Systems, Information Systems Frontiers, IEEE TKDE, DOLAP, EDBT, and ER.  He chaired DataPlat (2022-2024). He served as guest editor for Elsevier's Future Generation Computer Systems and Springer's Information Systems Frontiers journals.
 

Enrico Gallinucci, University of Bologna, Italy

Enrico Gallinucci is a Senior Assistant Professor at the University of Bologna, Italy. He received his Ph.D. in Computer Science and Engineering in 2017 and he teaches Big Data since 2018 at the same university. His current research topics include multistore and polystore systems, NoSQL and big data, data platforms, metadata management, stream analysis, and precision agriculture. He authored several publications in international conferences and journals, including Information Systems, Decision Support Systems, DKE, and VLDBJ. He chaired DataPlat (2022-24) and DOLAP (2022 and 2023). He is associate editor for the DKE journal, he has served as guest editor for the journals Future Generation Computer Systems, Information System Frontiers, and Information Systems.

Patrick Marcel, University of Orléans, France

Patrick Marcel is a Full Professor at the University of Orléans, France. He earned his Ph.D. in Computer Science at INSA Lyon in 1998 and his French Habilitation à Diriger les Recherches at University of Tours in 2012. His current research focuses on databases, OLAP and data warehousing, personalization, recommender systems, exploratory data analysis, and data narration. He authored numerous publications in international conferences and journals on these subjects, including Information Systems, Decision Support Systems, DKE and TKDE. He served as program committee member in top tier international conferences, including ER, VLDB, EDBT, and chaired the international Workshop on Data Warehousing and OLAP (DOLAP) in 2017 and 2021 and DataPlat (2022-24). He served as guest editor for international journals, including Information Systems and Information System Frontiers. He is a member of the regular editorial board of the international journal DKE.

Stefanie Scherzinger,University of Passau, Germany

Stefanie Scherzinger is a Full Professor at the University of Passau, Germany. She earned her Ph.D. from the University of Saarland in 2008. She then pursued an industry career. She contributed to the field of database performance monitoring as a software developer at IBM. Later, at Google, Stefanie Scherzinger undertook a transformative project, migrating a traditional LAMP-stack application to a cloud-based NoSQL architecture. These real-world experiences shaped her perspective and laid the foundation for her academic endeavors. In 2012, Stefanie Scherzinger returned to academia, assuming a professorship at OTH Regensburg, Germany. Since early 2020, she has taken on the role of chairperson for the “Scalable Database Systems” group at the University of Passau. Her research is deeply influenced by her industry background, with a particular focus on maintaining database applications, especially those powered by NoSQL data stores. Stefanie Scherzinger is committed to the long-term maintainability of software systems and places great emphasis on the importance of achieving long-term reproducibility in computer science research. Stefanie Scherzinger regularly serves as reviewer for SIGMOD, ICDE, and EDBT. She further co-chaired the CoMoNoS workshop series (2020, 2021, 2023), where the 2023 edition was jointly held with DataPlat. She also co-chaired the German national database conference BTW (2023). She currently serves as Area Editor for the journal Information Systems (CORE A*).

About the Collection

Journal of Big Data is calling for submissions to our Collection on "Advancements on Automated Data Platform Management, Orchestration, and Optimization" in conjunction with papers accepted from the workshop: 3RD INTERNATIONAL WORKSHOP ON DATA PLATFORM DESIGN, MANAGEMENT, AND OPTIMIZATION.

Information systems have evolved into complex data platforms supporting end-to-end data-intensive needs, such as storage, computation, and analysis of data with heterogeneous structures. However, smart and comprehensive support for data scientists and architects to govern the data through the whole life cycle is still necessary. The challenges begin with the management of metadata itself in terms of the modeling effort, storage, complexity of retrieval activities, and effective exploitation; these problems are further amplified in the age of data science, which witnesses data scientists prevail over data architects.

Topics of Interest

The scope of the special issue includes but is not limited to the following topics.

  • Metadata modeling for data platforms 
  • Techniques for metadata discovery and management 
  • Data fabric, data mesh architectures 
  • Advanced search, exploration, and profiling of data and metadata 
  • Semantic enrichment of metadata 
  • Data governance 
  • Data wrangling 
  • DataOps 
  • Provenance and data versioning control 
  • Orchestration and optimization of data transformation pipelines 
  • Data integration and querying in multimodel databases, multistores, polystores Query processing, optimization, and performance 
  • Entity resolution and data fusion 
  • Big data management and querying 
  • Artificial Intelligence solutions for data platforms 
  • AutoML techniques 
  • Cloud computing and architectures 
  • Advanced architectures for data lakes and data platforms 
  • Analysis, design, implementation, and testing of data platforms 
  • Case studies and project experiences

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of Research Articles. Should you wish to submit a different article type, please read our submission guidelines

Articles for this Collection should be submitted via our submission system, Snapp. Please, select the appropriate Collection title “Advancements on Automated Data Platform Management, Orchestration, and Optimization" under the “Details” tab during the submission stage.

Articles will undergo the journal’s standard peer-review process and are subject to all the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer-review process. The peer-review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.