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MADEISD 2020 : Modern Approaches in Data Engineering and Information System Design
MADEISD 2020 : Modern Approaches in Data Engineering and Information System Design

MADEISD 2020 : Modern Approaches in Data Engineering and Information System Design

Lyon, France
Event Date: August 25, 2020 - August 28, 2020
Submission Deadline: April 04, 2020
Notification of Acceptance: May 05, 2020
Camera Ready Version Due: June 05, 2020




About

For decades, in many, particularly complex organization systems, there is an open issue how to support information management process so as to produce useful knowledge and tangible business values from data being collected. One of the central roles in addressing this issue still play databases and information systems. In recent years, we are the witnesses of great movements in the area of business information management. Such movements are both of technological and methodological nature. By this, today we have a huge selection of various technologies, tools, and methods in data engineering as a discipline that helps in a support of the whole data life cycle in organization systems, as well as in information system design that supports the software process in data engineering. Despite that, one of the hot issues in practice is still how to effectively transform large amounts of daily collected operational data into the useful knowledge from the perspective of declared company goals, and how to set up the information design process aimed at production of effective software services in companies. It seems that nowadays we have great theoretical potentials for application of new and more effective approaches in data engineering and information system design. However, it is more likely that real deployment of such approaches in industry practice is far behind their theoretical potentials.

The main goal of this workshop is to address open questions and real potentials for various applications of modern approaches and technologies in data engineering and information system design so as to develop and implement effective software services in a support of information management in various organization systems. We intend to address interdisciplinary character of a set of theories, methodologies, processes, architectures, and technologies in disciplines such as Data Engineering, Information System Design, Big Data, NoSQL Systems, and Model Driven Approaches in a development of effective software services. We invite researchers from all over the world who will present their contributions, interdisciplinary approaches or case studies related to modern approaches in Data Engineering and Information System Design. We express an interest in gathering scientists and practitioners interested in applying these disciplines in industry sector, as well as public and government sectors, such as healthcare, education, or security services. Experts from all sectors are welcomed.


Call for Papers

Submissions are expected from, but not limited to the following topics:

  1. Data Engineering and Information System Design – Mathematical Foundations, Theoretical, and Practical Aspects

  2. Architectures, Strategies, and Practices in Data Engineering and Information System Design

  3. Data Engineering and Information System Design – Applications and Industry Experience

  4. Data Engineering and Information System Design for Lean Manufacturing

  5. Big Data and NoSQL Systems in Data Engineering

  6. OLAP Systems for Big Data, Big Data Analytics, Deep Learning from Big Data

  7. Model Driven Approaches in Data Engineering, Databases, and Information System Design

  8. Model Driven Approaches in NoSQL System Design and Implementation – Problems and Issues

  9. Domain Specific Modeling and Tools in Data Engineering, Big Data, and NoSQL Systems

  10. Data Quality Management in Data Engineering, Big Data, and NoSQL Systems

  11. Methodologies, Models, Algorithms, and Architectures for Big Data and NoSQL Systems

  12. Teaching Data Engineering Approaches in Academic and Industrial Environments

  13. Organizational and Human Factors, Skills, and Qualifications for Data Engineering

  14. Data Privacy and Security Issues in Data Engineering

  15. Models for Data Engineering and Resource Integration

  16. Regulation and Standardization in Data Engineering

  17. Lean Software Engineering for Data Engineering, Big Data, and NoSQL Systems

  18. Innovative Data Models and Data Integrity in Big Data and NoSQL Systems – Theoretical and Practical Aspects



Summary

MADEISD 2020 : Modern Approaches in Data Engineering and Information System Design will take place in Lyon, France. It’s a 4 days event starting on Aug 25, 2020 (Tuesday) and will be winded up on Aug 28, 2020 (Friday).

MADEISD 2020 falls under the following areas: COMPUTER SCIENCE, DATA SCIENCE, INFORMATION SYSTEMS, DATA ENGINEERING, etc. Submissions for this Workshop can be made by Apr 04, 2020. Authors can expect the result of submission by May 05, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Jun 05, 2020 to the official website of the Workshop.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the MADEISD 2020

  • Short Name: MADEISD 2020
  • Full Name: Modern Approaches in Data Engineering and Information System Design
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of MADEISD 2020
  • Event Type: Workshop
  • Website Link: http://www.acs.uns.ac.rs/adbis2020/
  • Location/Address: Lyon, France


Credits and Sources

[1] MADEISD 2020 : Modern Approaches in Data Engineering and Information System Design


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