Knowledge Zone

dataset-logger, our open-source tool for Apache Spark, allows tracking and analyzing how particular data records change during Spark job execution.

In today's interview, we delve into the world of hiring with Rafał Rozpondek, VP of Engineering and an expert in data processing at Datumo. As a prominent Big Data company, Datumo aims to provide tailored solutions and support to clients while fostering a vibrant working environment. Rafał sheds light on the recruitment program, shares insights for potential candidates, and highlights the unique culture that sets Datumo apart from other companies. Join us as we explore the possibilities at Datumo.

Despite being a cornerstone in the deployment and maintenance of machine learning models, MLOps definition has been clouded by confusion and debate. In this article, we delve into why do we need MLOps, its specifics, fundamental principles, and the role of automation. With these insights, we aim to demystify MLOps and emphasize its crucial role in streamlining machine learning projects.

A rapidly expanding e-commerce platform harnessing the power of Apache Airflow, taking charge of its vast data landscape, enhancing operational efficiency, and empowering its team to make insightful, data-driven decisions that drive growth and innovation.

A weekend with company colleagues is an excellent way to get our team together and build bonds outside of the daily routine. Since Datumo’s work has been predominantly remote since 2017 it’s absolutely essential for us to find ways to connect our team members and foster a sense of community. That’s why we hold a Datumo Camp once a year!

An exploration of how Datumo's expert implementation of the Google Cloud Platform transformed iTaxi's data infrastructure, empowering data democratization and accelerating data-driven decision-making processes.