Data Analytics and Management

Data Analytics and Management is the branch of computer science that is concerned with extracting usable information from data. At LLNL, we’re working with data in many forms: text, images, videos, semantic graphs, and more. This data may be “at rest” in files or databases, or “in motion” as it streams in from sensors or other live sources. Our informatics research aims to gain insight from data that is very large, geographically distributed, complex, fast moving, or some combination of these characteristics. Applications for this work span a wide range of LLNL missions, including energy security and efficiency, biosecurity, computer security, and climate change. View content related to Data Analytics and Management.

Leveraging data-intensive computing for sleuthing seismic signals

Since the 1960s, scientists at Lawrence Livermore have been developing methods to locate, identify, and distinguish nuclear explosions from earthquakes and other types of seismic activity. Today, high-performance computers and new data-intensive computing techniques are improving our country’s ability to monitor nuclear explosions and allowing researchers to better define seismically active faults.

Pages

Subscribe to RSS - Data Analytics and Management