Knowledge Zone

Explore the dynamic realm of tech troubleshooting with our latest post comparing ChatGPT and Stack Overflow. Uncover the strengths of each platform and find the perfect ally for your tech challenges.

Big Data Engineers must stay up-to-date with the latest skills and trends. Based on our experience implementing many Big Data projects, this blog will explore some essential data engineering skills for 2024.‍

In this article we will present some key areas that affect the future of Big Data analytics, while focusing on such topics as cloud migration, the development of native data platforms for cloud environments, real-time data processing and more.

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.