Discover the best cloud ETL tools for data engineers in 2025. Compare features, pricing, and use cases as we explore the most effective data integration solutions for modern organizations with ...

In a detailed engineering post, Yelp shared how it built a scalable and cost-efficient pipeline for processing Amazon S3 ...

Abstract: Big medical data analytics has become an essential research area in the healthcare industry. The vast amount of data generated by various medical devices, clinical systems, and research ...

New Jersey US District Court Judge Julien Neals’ October response to Sen. Chuck Grassley’s (R-Iowa) letter dismayed AI proponents. The Biden appointee banned staff use of AI tools in research and ...

Abstract: Big data clustering on Spark is a practical method that makes use of Apache Spark’s distributed computing capabilities to handle clustering tasks on massive datasets such as big data sets.

So, Nvidia's little gold box of pure AI power, the DGX Spark is finally out. But is it any good? The answer depends who's doing the asking and what they're asking of the Spark. By some common measures ...

When he's not battling bugs and robots in Helldivers 2, Michael is reporting on AI, satellites, cybersecurity, PCs, and tech policy.

This post explains how to use GitHub Spark to create web apps. The market today is flooded with AI-powered coding assistants — from tools that autocomplete lines of code to platforms that generate ...

GitHub Spark, when used with GitHub Codespaces, provides a robust cloud-based development experience for building sites that can be efficiently hosted as Power Pages single-page applications. By ...