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

Co-located with EDBT 2021, Nicosia, Cyprus

March 23, 2021

DOLAP 2021 Participants!

Welcome to DOLAP 2021


(March 22, 2021) It is our great pleasure to say that the paper "Effective data pre-processing for AutoML" receives the Best Paper Award for DOLAP 2021, based on the PC reviews, its originality and quality of presentation. Congratulations to the authors!

(February 17, 2021) Registration is now open, please visit

(February 12, 2021) Accepted papers announced, congrats to the authors!

(November 05, 2020) Happy to announce that Ioana Manolescu will give the DOLAP 2021 keynote talk on: What do the Sources Say? Exploring Heterogeneous Journalistic Data As a Graph

(September 13, 2020) Happy to announce the Best Paper Award that is presented to the authors written the best paper according to the Program Committee reviews.

(September 11, 2020) The best papers presented at DOLAP will be invited to a special issue of Information Systems.

(September 07, 2020) Special Theme: Data Exploration. To promote novel solutions to tackle data management for novel Decision Support Systems, DOLAP 2021 will devote a session to Data Exploration and their impact on novel Big Data Management and Analytics approaches.

Call for Papers

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 modeling and optimized data processing) to serve innovative data analysis bringing added value to organizations. The trend is to move from current systems that are "data presenting" 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.

Research topics include, but are not limited to:

  • Design and Language: Data Management Fundamentals and Data Variety

  • Optimization: Coping with Volume and Velocity

  • Analytical Processing and Applications: Analytics in conjunction Value and Veracity, Integration of analytics with ML, DM, IR, search engines, recommenders, Big Data Applications

  • Special Theme on Data Exploration

DOLAP accepts short (5 pages) and long (10 pages) paper submissions in ACM format. Long papers include novel and mature research, industrial or survey work. Long papers of good quality but not mature enough might be accepted to the workshop as short papers. Short papers include:

  • On-going: novel research works with preliminary results.

  • Vision: position papers outlining research issues for future work.

DOLAP includes a second review round for uncertain cases where either there is no agreement among the reviewers, or they ask for a clarification prior to accept the paper.

Submissions will be accepted only through the submission site EasyChair at:

Important Dates:

(NEW) Abstract submission: December 8, 2020

(NEW) Paper submission: December 8, 2020