Research Paper @ VLDB 2020

The paper entitled “A system design for elastically scaling transaction processing engines in virtualized servers” was presented at VLDB 2020 on September 2nd. The paper focuses on workload variations that can be addressed by modern multi-socket, multi-core servers and presents […]

Demo @ VLDB 2020

Our demo entitled “SPHINX: A System for Metapath-based Entity Exploration in Heterogeneous Information Networks” will be presented at VLDB 2020 on September 2nd, 18:15 UTC and September 3rd, 6:15 UTC. SPHINX allows users to define different views over a HIN […]

2020 VLDB Women in Database Research Award

Prof. Anastasia Ailamaki has received the 2020 VLDB Women in Database Research Award for pioneering research on the interaction between hardware micro-architecture and database engine performance. Prof. Ailamaki is the director of DIAS Lab at EPFL and is leading the […]

Survey on Entity Resolution and Similarity Joins

The paper “Blocking and Filtering Techniques for Entity Resolution: A Survey”, by George Papadakis, Dimitrios Skoutas, Emmanouil Thanos and Themis Palpanas, has been published in ACM Computing Surveys. This survey reviews a large number of works under two different but […]

SIGMOD 2020 Panel

Prof. Anastasia Ailamaki participates in the SIGMOD 2020 Plenary Panel “The Next 5 Years: What Opportunities Should the Database Community Seize to Maximize its Impact?” The panel will take place on Tuesday, June 16, 10:30 AM – 12:00 PM Pacific […]

Project Facts
SmartDataLake is a Research and Innovation action funded by the Horizon 2020 Framework Programme of the European Union.

Project Full Title: Sustainable Data Lakes for Extreme-Scale Analytics

Topic: ICT-12-2018-2020 - Big Data technologies and extreme-scale analytics

Grant Agreement No: 825041

Duration: 36 months (1/2019 – 12/2021)

Coordinated by : IMSI / Athena RC