Distributed Computing

Масштабируемые приложения AI и Python с помощью Ray.

Децентрализованная платформа искусственного интеллекта для масштабируемых и эффективных решений.

Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.

A software framework for processing large datasets in parallel across clusters, enabling reliable and fault-tolerant data processing.

Apache Hadoop is an open-source framework for distributed storage and processing of large data sets across computer clusters.

Recent Flink blogs Apache Flink 1.18.1 Release Announcement January 19, 2024 - Jing Ge. The Apache Flink Community is pleased to announce the first bug fix release of the Flink 1.18 series. This release includes 47 bug fixes, vulnerability fixes, and minor improvements for Flink 1.18. … Continue reading Apache Flink 1.16.3 Release Announcement November 29, 2023 - Rui Fan. The Apache Flink Community is pleased to announce the third bug fix release of the Flink 1.

A lightweight, open-source framework for distributed computing based on MapReduce, designed for handling massive data with minimal code.

Apache Hadoop is an open-source framework for distributed processing of large data sets across computer clusters, designed for scalability and fault tolerance.