Yan, H.J. and Jin, C. (2025) The Evolution of Library and Information Science in China under the Big Data Paradigm —An Empirical Study Based on Chinese Core Literature. Open Journal of Social Sciences ...

The latest season includes interviews with a variety of business executives who share insights into how they and their ...

Learn about the most pressing data collection challenges for litigators at AmLaw 200 firms along with practical steps and ...

The modular data center market is poised to play a key role in the future of digital infrastructure. As the world moves ...

The Light Stage 3 (2002) was the first physical set to use an array of RGB LED lights surrounding an actor to create an ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

GSQTP Quantify Limited (hereinafter referred to as GSQTP) announced the completion of a new round of technological upgrades ...

Multimodal data processing startup Eventual Inc. is looking to transform the way companies deal with unstructured data after closing on $30 million in venture capital funding.

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

Data loss is often unavoidable, but it doesn't have to be a disaster if organizations familiarize themselves with the proper planning and techniques.

Continuous delivery for data pipelines often involves integrating a wide range of tools: source control systems, CI/CD platforms, data orchestration frameworks, data processing engines, monitoring ...

In our hyper-connected world, we rely on encrypted communications every day—to shop online, digitally sign documents, make bank transactions, check our steps on fitness trackers. But today's ...