Database Technologies and Information Management Group

The DTIM research group in Universitat Politècnica de Catalunya (UPC) conducts research in many fields of data and information management, with emphasis on the complete data/information lifecycle within data-intensive systems. Some keywords related to the main research interests of DTIMers are (big) data management (with special emphasis in graph data management, distributed data storage and parallel data processing), data governance, data integration, data analysis, DataOps/MLOps and business intelligence. DTIM is a research subgroup of the Integrated Software, Services, Information and Data Engineering group (inSSIDE) research group and its members mainly belong to the ESSI department at UPC.

VisionDemocratize information management and analysis to solve current societal challenges.
MissionGain and create knowledge on information management and analysis to contribute to global progress and development by (1) leading and contributing to local and international research and innovation projects, (2) disseminating scientific and technological knowledge, and (3) building intersectoral partnerships.
Nobody educates anybody -nobody educates himself-, men educate each other under the mediation of the World.
Paulo Freire. Pedagogia del oprimido. Montevideo: Tierra Nueva, 1970.

Latest News (see all)

Latest Blog Posts

An introductory view into Prometheus

Prometheus is an Open Source software developed by SoundCloud, commonly used in production servers as a monitoring and alarming tool.

This article offers an introductory view into how it works and how to use it by exposing a running example.

After reading this article, you will understand what Prometheus is, how it works, and have some examples into the mind of its different components. You will also find several links along the article to further extend your knowledge.

Visualising the data lake using proximity graphs in Gephi

Gephi is a free graph analysis and visualisation tool developed over the Netbeans platform for Java. It supports computing statistics over graphs, applying algorithms to analyse and to visualise the graphs, and to apply filters and queries over the graphs, all using an intuitive graphical-user interface. It has become very popular today due to its strong capabilities and support by the user community. We will demonstrate in this article how to use it to visualise a proximity graph for the data lake.



Tips and tricks on writing experiments

Presenting sound and convincing experimental results is a must in any paper. Besides providing practical evidence that your assumptions are correct, writing experiments is a great way to find bugs and make you rethink an algorithm that made sense in the blackboard. The objective of this blog post is to provide some tips and tricks on the process of writing experiments from my own personal experience. Naturally, any feedback is welcome so don't hesitate to drop an email if you have other interesting recommendations.

Our favourite tweets