23rd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2021)

Research in data warehousing and OLAP has produced important technologies for the design, management, and use of information systems for decision support. Nowadays, due to the advent of Big Data, Decision Support Systems (DSS) embrace a wider range of systems, in which novel solutions combining advanced data management and data analytics, (semi-)automating the data lifecycle (from ingestion to visualization). Yet, the DSS principles remain the same: these systems acknowledge the relevance to manage data in an efficient way (by means of data modelling and optimized data processing) to serve innovative data analysis bringing added value to organizations.

DSS of the future will consequently be significantly different than what the current state-of-the-practice supports. The trend is to move to more dynamic systems that allow the semi-automation of the decision making process. This means that systems partially guide their users towards data discovery, management and system-aided decision making via intelligent techniques and visualization. In the back stage, the advent of the big data era, requires that new methods, models, techniques and architectures are developed to cope with the increasing demand in capacity, data type diversity, schema and data variability and responsiveness.

DOLAP 2021 features a special theme on Data Exploration! Specifically, to promote novel solutions to tackle data management for novel DSS, DOLAP 2021 will devote a session to Data Exploration and their impact on novel Big Data Management and Analytics approaches.

Important Dates for DOLAP 2021
Abstract submission: November 23, 2020
Paper submission: November 30, 2020
Authors notification: January 10, 2021
Revised paper submission: January 20, 2021
Revised authors notification: February 10, 2021
Camera ready: February 20, 2021
Early registration deadline: February 22, 2021