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Category: Engineering

Kafka Summit 2023: Announcements & Trends

2.06.2023
The Kafka Summit brought together industry experts, developers, and enthusiasts to discuss the latest advancements and practical applications of event streaming and microservices. In this article, our CTO Sabri Skhiri delves into some of the keynotes and talks that took place during the summit.

KubeCon + CloudNativeCon Europe: Insights and Experiences

31.05.2023
In April, our engineers Maxime and Eva travelled to Amsterdam for the Kubecon Europe 2023, THE conference of the Cloud Native Computing Foundation. In this article, they provide insights from the conference, covering key trends, the conference format, and highlighting some of the standout talks.

2022 Wrap Up

13.01.2023
We got a deep dive into some of the most memorable moments of 2022.

Intelligent Data Integration for Complex Problem Solving

23.11.2022
This November, our research director and senior researcher Sabri and Gianmarco took part in the kick-off of a TETRA project led by KU Leuven that aims to develop a methodology

Internships 2023

31.10.2022
This document presents internships supervised by our software engineering department or by our research & development department. Each project is an opportunity to feel both empowered and responsible for your own professional development and for your contribution to the company.

IEEE Streaming Workshop / Keynote Announcement

23.09.2022
We are delighted to announce Pablo Estrada from Google and Fabian Hueske from Snowflake as the two keynote speakers of our seventh Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management in Big Data.

Master Thesis Offers 2022-2023

19.05.2022
We offer master thesis supervised by our research & development department. Each project is an opportunity to feel both empowered and responsible for your own professional development and for your contribution to the company.

Automatic Parameter Tuning for Big Data Pipelines

10.03.2022
Big data frameworks generally constitute a pipeline, each having a different role. This makes tuning big data pipelines an important yet difficult task given the size of the search space. We propose to use a deep reinforcement learning algorithm to tune a fraud detection big data pipeline.

15 Papers in 2021: the outputs

7.01.2022
The only way to master knowledge is to explore and enrich it. As we look back on the year 2021, we are proud to say that our R&D department has published 15 peer-reviewed scientific papers this year. Find out the impacts of the published papers in our new article.

2021 Wrap Up

5.01.2022
We got a deep dive into some of the most memorable moments of 2021.
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