Second International Conference on Digital Data Processing Marrakesh, Morocco November 11-13, 2021 www.socio.org.uk/ddp (IEEE CPS. Papers should follow IEEE template) 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