Devoogle tiene indexados actualmente 15917 recursos relacionados con el desarrollo de software.

VP of Engineering and Head of ML & DS at Adyen Andreu Mora is a VP of Engineering and Head of Machine Learning and Data Science at Adyen. At Adyen, he has previously been a tech lead and data scientist working on launching products related to network based pattern recognition for risk and scalable time series forecasting, as well as being a promoter of a data-driven culture. Before Adyen, Andreu worked for the European Space Agency and private aerospace companies as a data processing architect, tech lead and software engineer in the area of mission performance algorithms and mission design. Andreu holds an MSc. in Telecommunication Engineering from Universitat Politecnica de Catalunya with a focus on maths, signal and image processing.
En este episodio de cierre de temporada conoceremos al equipo de Goodly. Hablaremos sobre Google Cloud, su trabajo dentro de Paradigma y sobre su podcast Como conocí a nuestro Cloud. Si te apetece darnos feedback y participar en el contenido de la próxima temporada, te dejamos el formulario para que puedas hacerlo: Links de interés: Auto ML: la manera fácil de hacer machine learning (Parte 1): Lo que menos nos gusta de Google Cloud (Parte 1): Cómo usar Google Cloud para proyectos personales: Ponentes: Tomás Calleja, Óscar Ferrer y José Ramón Berenguer, miembros del equipo de Goodly. ¿Quieres escuchar nuestros podcasts? ¿Quieres saber cuáles son los próximos eventos que organizamos?:
Sales Account Manager at Intersystems David has a degree in Computer Science from the School of Computer Engineering at the University of Málaga (1997) and has a PhD in Software Engineering and Artificial Intelligence from the Department of Languages and Computer Sciences of the University of Málaga (2005). He is currently Sales Account Manager at InterSystem, a company he joined as a Sales Engineer in 2007, a leading company in technology for the development of health information systems with offices in more than 30 countries. He previously developed his professional work as a Senior Engineer at iSOFT in Spain and Latin America. In the last fifteen years he has always been involved in health informatics projects, especially in integration projects, electronic medical record sharing and healthcare Big Data, and he regularly participates in standardization organizations such as HL7 and the standardization committee AEN / CTN 139.
Research Professor at IMDEA Networks Dr. Antonio Fernández Anta is a Research Professor at IMDEA Networks. Previously he was a Full Professor at the Universidad Rey Juan Carlos (URJC) and was on the Faculty of the Universidad Politécnica de Madrid (UPM), where he received an award for his research productivity. He was a postdoc at MIT from 1995 to 1997, and spent sabbatical years at Bell Labs Murray Hill and MIT Media Lab. He has been awarded the Premio Nacional de Informática "Aritmel" in 2019 and is a Mercator Fellow of the SFB MAKI in Germany since 2018. He has more than 25 years of research experience, and more than 200 scientific publications. He was the Chair of the Steering Committee of DISC and has served in the TPC of numerous conferences and workshops. He received his M.Sc. and Ph.D. from the University of SW Louisiana in 1992 and 1994, respectively. He completed his undergraduate studies at the UPM, having received awards at the university and national level for his academic performance. He is a Senior Member of ACM and IEEE.
Data Architecture Manager at Accenture Born in a town in Seville, Juanjo studied Telecommunications Engineering at the Superior School of Engineering. Since 2004, his professional career has developed at Accenture, working on both national and international development & maintenance projects as Data Engineer and Big Data Engineer. He loves the phrase “If you want to go fast, go alone; if you want to go far, go together.” He likes to help people grow and build teams, loves sports and cooking, and his main hobby is his family. And he is forbidden to give up.
Monitoring de tus servidores (o IoT) utilizando Prometheus, Loki y Grafana. Te explicamos las novedades en Grafana 9 y todas sus nuevas funcionalidades. {▶️} CodelyTV ├ 🎥 Suscríbete: ├ 🐦 Twitter CodelyTV: ├ 🤯 Twitter Joan: ├ 💂🏼 Twitter Rafa: ├ 📸 Instagram: ├ ℹ️ LinkedIn: ├ 🟦 Facebook: └ 📕 Catálogo cursos:
Katie is a cloud native leader, practitioner, and contributor, currently in a Senior Kubernetes Field Engineer role at a company called Manzana (in English). For years, as a cloud platform engineer, Katie has built the infrastructure for Conde Nast and American Express, gravitating towards cloud-native technologies, principles, and Kubernetes as the focal point. At CNCF (Cloud Native Computing Foundation), she was a Technical Oversight Committee member and led the CNCF End User Community. At present, Katie advises the Keptn startup and holds the Chief of Future Founders Officer (CFFO) position at OpenUK. Recently, Katie released the Cloud Native Fundamentals course and led the creation of the CNCF KCNA (Kubernetes and Cloud Native Associate) certification. Additionally, Katie is an active keynote public speaker, a #TechWomen100 winner, and a strong advocate for women in STEM.
Principal Software Architect at QAware Passionate developer. Proud father. #CloudNativeNerd. Leander is continuously looking for innovations in software engineering and ways to combine and apply state-of-the-art technology in real-world projects. As a speaker at national and international conferences, he shares his tech experiences and he teaches cloud computing and software quality assurance as a part-time lecturer.
En el episodio de hoy vamos a hablar de métricas de producción y Time to market. Veremos qué son, por qué son importantes y daremos consejos para elegir las que mejor se adapten a las necesidades de cada proyecto. Ponentes: Alberto García, Agile Coach en Paradigma Digital. Pablo Meiriño, Service Delivery Manager en Paradigma Digital. ¿Quieres escuchar nuestros podcasts? ¿Quieres saber cuáles son los próximos eventos que organizamos?:
Gracias, ¡qué palabra tan bonita! Qué bien sienta decir “gracias” a esos/as compañeros/as que nos han tendido la mano, que han estado ahí en un momento difícil, que nos han ayudado incondicionalmente. GRACIAS, en mayúsculas, a nuestro equipo Financiero, que se desvive cada día para que nada falle. Gracias por su paciencia, por su compromiso, y por la sonrisa que le ponen al día a día. ¡Sois muy top! ¿Quieres ver nuestros tutoriales? ¿Quieres escuchar nuestros podcasts? ¿Quieres saber cuáles son los próximos eventos que organizamos?: