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Category: Engineering

A Performance Prediction Model for Spark Applications

Apache Spark is a popular open-source distributed-processing framework that enables efficient processing of massive amounts of data. It has a large number of parameters that need to be tuned to

IEEE Big Data 2019 – A Summary

At the beginning of the month, our R&D director Sabri Skhiri and our R&D engineer Syrine Ferjaoui travelled to Los Angeles to attend IEEE Big Data Conference. It is one

GraphOpt: Framework for Automatic Parameters Tuning of Graph Processing Frameworks

Finding the optimal configuration of a black-box system is a difficult problem that requires a lot of time and human labor. Big data processing frameworks are among the increasingly popular

Master Thesis 2020

This document introduces you to master thesis supervised by our research & development department. Each project offers you the chance to be actively involved in the development of solutions to

Flink Forward: The Key Takeaways

Early October 2019, 6 EURA NOVA engineers travelled to Berlin to attend the Flink Forward Conference, dedicated to Apache Flink users and stream processing communities. In this article, they will

Kafka Summit: The Key Takeaways

At the beginning of the month, our software engineer Christophe Philemotte was in San Francisco to make a presentation at the Kafka Summit organised by Confluent. The Kafka Summit is

4th Workshop on Real-time & Stream Analytics in Big Data

EURA NOVA Research centre is proud and excited to organize the fourth workshop on Real-time and Stream analytics in Big Data, collocated with the 2019 IEEE conference on Big Data.

ACL 2019: Takeaways from the conference

Last month our R&D Project Director Cécile Pereira and our PhD student Léo Bouscarrat travelled to Florence to attend and present to ACL 2019. ACL is one of the biggest

DEBS 2019: A Summary

Last month, our R&D engineer Anas Albassit and director Sabri Skhiri travelled to Germany to attend and present at DEBS 2019, one of the most specialised conferences in Distributed Event-Based

LEAD: A Formal Specification For Event Processing

Processing event streams is an increasingly important area for modern businesses aiming to detect and efficiently react to critical situations in near real-time. The need to govern the behaviour of