Data grows voluminously and exponentially with heterogeneity and
complexity. A single organization or industry processes more than few
million transactions hourly and stores several petabytes of data. We
live in a world of tremendous pressure to analyze and process data more
efficiently where the
Data analytics are able to reflect hidden patterns, incomprehensible
relationships, intrinsic information relations, and segmentation. The
data applications have introduced cutting-edge possibilities in every
activity in our life. Thus, the study of data and its underlying
structure, dynamics of data relations, and newer data technologies are a
never-ending process. The literature and research on data management are
enormous, still, they sufficiently do not solve the data processing
requirements.

Currently, the use of technology and interrelations among information
pieces generate gargantuan amounts of data. Many studies tend to develop
models and systems to analyse the voluminous datasets. Analysing the
impact of data leads to application domains on various decisions that
have a systematic influence. Knowledge generated from the data analysis
can enable the production of critical information for several domains.

Hence this conference reviews and discusses, the recent trends,
opportunities, and pitfalls of data management and how it has impacted
organizations to create successful business and technology strategies
and remain updated in data technology. This conference also highlights
the current open research directions of data analytics that requires
further consideration/
The proposed conference will discuss the topics not limited to

Data applications in various domains and activities
Data in cloud
Real-world data processing
Data inaccuracy and reliability issues
Data ecosystem
Business analytics
New data analytics techniques
Physical and management challenges
Privacy and Security
Crowdsourcing and Sensing
Data modeling
Deep learning techniques
Data fusion
Descriptive analytic, Diagnostic analytics,  Predictive Analytics, and
Prescriptive analytics
Machine learning
Network optimization

Publications

DDP is technically supported by IEEE CPS. The DDP papers will be
submitted for publication and indexing in IEEE Xplore. Besides, modified
versions of the papers will appear in the following journals.

  1. Journal on Data Semantics
  2. Technologies
  3. Data Technologies and Applications
  4. Webology
  5. Journal of Digital Information Management
  6. International Journal of Computational Linguistics
  7. Journal of Optimization
  8. International Journal of Distributed Systems and Technologies

Important Dates

ull Paper Submission: August 25, 2021
Notification of Acceptance/Rejection: September 25, 2021
Registration Due: October 15, 2021
Camera Ready Due: October 15, 2021
Workshops/Tutorials/Demos: November 12, 2021
Main conference November: 11-13 , 2021

Keynote Speakers
Eleni (Helen) Karatza, Aristotle University of Thessaloniki, Greece
Maria Fasli, University of Essex, UK

Program Committee
Honorary Chairs
Ahmed MOUSSA, Director of National School of Applied Sciences, Tangier,
Morocco
Bouchta El Moumni, vice-President of Abdelmalek Essaâdi University,
Tetouan, Morocco
Mohamed Addou, Dean of the faculty of sciences and techniques, Tangier,
Morocco

Program Chairs
Aziz El Janati El Idrissi, Ministre d’éducation et d’enseignement
supérieur Mohamed V University. Rabat, Rabat-Salé-Zemmour Zaër, Morocco
Ramiro Smano Robles, Instituto Superior de Engenharia do Porto Rua,
Portugal
Ahmed Moussa, Director of National School of Applied Sciences, Tangier,
Morocco
Simon Fong, University of Macau, Macau

Program Co-Chairs
Ricardo Rodriguez Jorge, Autonomous University of Ciudad Juarez, Mexico
Dion Goh, Nanyang Technological University, Singapore

Publicity Chair
Mohsin Beniysa, Abdelmalek Essaâdi University, Morocco

Paper Submission: http://socio.org.uk/ddp/paper-submission/

Contact: ddp@socio.org.uk