In an internal benchmark using its own codebase, Databricks found that the Chinese open-source model GLM 5.2 is statistically on par with Anthropic’s Opus 4.8 in terms of performance, but is ...

Data lakes are essential parts of AI infrastructure, allowing companies to manage and store data on a scale necessary to fuel data-intensive AI models This week's list shines a light on the companies ...

Snowflake is launching a client connector to run Apache Spark code directly in its cloud warehouse - no cluster setup required. This is designed to avoid provisioning and maintaining a cluster running ...

The data industry has arrived at a pivotal juncture that echoes the themes we’ve charted in previous Breaking Analysis episodes, from The Sixth Data Platform through The Yellow Brick Road to Agentic ...

As data continues to grow at an exponential rate, organizations are leveraging advanced tools and technologies to harness its full potential. In 2024, the landscape of big data tools and technologies ...

INTERVIEW Big data is no longer hailed as the "new oil." It has gone out of fashion, both in terms of hype and because its foundational technology – Apache Hadoop – was surpassed by cloud-based blob ...

Databricks, AWS and Google Cloud are among the top ETL tools for seamless data integration, featuring AI, real-time processing and visual mapping to enhance business intelligence. Extract, transform ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...