Tech Talk with Neodata Group: The journey to Elasticsearch In this first episode of our first Tech Talk, we hosted Neodata Group to talk about their journey to Elasticsearch, the
Spark 3.0: First hands-on approach with Adaptive Query Execution (Part 3) In the previous articles (1)(2), we started analyzing the individual features of Adaptive Query Execution introduced on Spark 3.0.
Agile Lab ospite di InnoTech, l’Hub di The European House Ambrosetti per parlare di Machine Learning e Big Data in ambito assicurativo
Agile Lab ospite di InnoTech, l’Hub di The European House Ambrosetti per parlare di Machine Learning e Big Data in ambito assicurativo Alberto Firpo, Co-Founder & CEO di Agile Lab,
Real-time Analytics in applicazioni mission-critical: il caso Vodafone Automotive In occasione del Convegno conclusivo dell’ottava edizione dell’Osservatorio Big Data & Analytics del Politecnico di Milano, Alberto Firpo, CEO &
Agile Lab has been recognised as one of Italy’s fastest growing companies by the nations’s leading economic newspaper “Il Sole 24 Ore” and the provider of market and consumer data “Statista”.
In the previous article, we started analyzing the individual features of Adaptive Query Execution introduced on Spark 3.0. In particular, the first feature analyzed was “dynamically coalescing shuffle partitions”. Let’s get
Apache Spark is a distributed data processing framework that is suitable for any Big Data context thanks to its features. Despite being a relatively recent product (the first open-source BSD license was
A journey to discover the potential of state-of-the-art techniques Hi all! My name is Eugenio Liso, Big Data Engineer @ Agile Lab, a remote-first R&D company located in Italy. Our main
An Introduction to Deep Generative Models for Computer Vision – Online Meetup – 11th June 2020 | 6.30PM
Our next meetup, planned on 11th June 2020, will cover two of the most famous and recent generative models, Variational Autoencoders and Generative Adversarial Networks, at an introductory level with