Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

And it’s not something that supercomputers currently do well all of the time, especially when it comes to managing huge amounts of data. But a team of researchers in the Department of Computer ...

Cloudian’s new PyTorch connector is built on Nvidia Corp.’s GPUDirect Storage technology and optimized for Nvidia Spectrum-X ...

In this article, I will explore five features to consider when implementing or optimizing an extract transform load (ETL) pipeline to elevate the resilience of data analytics systems and ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

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 ...

This article compares different alternative techniques to prepare data, including extract-transform-load (ETL) batch processing, streaming ingestion and data wrangling. The article also discusses ...

Revolutionizing real-time data processing with edge computing and reservoir technology. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 01 / 240111113127.htm ...

RedPoint Global, a provider of data management and customer engagement software, has announced integration with Microsoft Azure HDInsight to support enhanced data management capabilities via Hadoop ...

The tariff is intended to ensure large load customers like data centers contribute more directly to the costs of building and ...