Máté Gulyás

CEO @ DataPao

Fog and Edge computing and how to tame the Industrial IoT world

Datapao has been focusing on manufacturing companies in digitalisation projects (aka Industry 4.0). In these developments, we use sensor data to create transparency on the factory floor and model the process itself. During these endeavours, we face multiple challenges: the size of the data, latency, spotty networks and a mission-critical system that has to be robust and scalable. In this presentation, we will shed light on how to solve these challenges with the currently available technologies. We will walk through an example that will use real-time predictive maintenance to prevent machine failure.

CEO and Senior Instructor at Datapao, a Big Data and Cloud consultancy and training firm, focusing on industrial applications (aka Industry 4.0). Datapao helps Fortune 500 companies kick off and mature their data analytics infrastructure by giving them Apache Spark, Big Data and Data Analytics training and consultancy. Mate also serves as Senior Instructor in the Professional Services Team at Databricks, the company founded by the authors of Apache Spark. Previously he was Co-Founder and CTO of enbrite.ly, an award-winning Budapest based startup.
Mate has experience spanning more than a decade with Big Data architectures, data analytics pipelines, operation of infrastructures and growing organisations by focusing on culture. Mate also teaches Big Data analytics at Budapest University of Technology and Economics. Speaker and organiser of local and international conferences and meetups.