In today’s fast-evolving tech landscape, automation and artificial intelligence (AI) are transforming industries, making it crucial for professionals to upskill in data science, machine learning (ML), ...

I started using APL for data analysis around 1972. The powerful language, based on a 1962 book by Ken Iverson, A Programming Language, was and is notable for three things: its use of Greek letters and ...

In today's data-driven landscape, event streaming platforms have become essential for building real-time applications and data pipelines. Apache Kafka and Microsoft Azure Event Hubs stand out as two ...

Kafka-ML is a framework to manage the pipeline of Tensorflow/Keras and PyTorch (Ignite) machine learning (ML) models on Kubernetes. The pipeline allows the design, training, and inference of ML models ...

One must know the tools, techniques, and the best practices adopted when dealing with this data-oriented position since changes are constantly taking place within this field. GitHub due to being a ...

MinIO is a high-performance, cloud-native object store that runs anywhere (public cloud, private cloud, colo, onprem). Apache Airflow is an open-source platform to programmatically author, schedule, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andy Brinkmeyer shares how engineering ...

Red Hat’s Quarkus is a full-stack, open-source Java framework designed for containers and cloud environments. See why it’s a worthy alternative to Spring. Quarkus is a full-stack, open-source Java ...