Showing 1 - 10 of 40 results for the Big Data
This tutorial offers training on data science in cybersecurity principles and practices.
This presentation presents a framework to guide governance decisions.
The CERT Data Science and Cybersecurity Symposium highlighted advances in data science, reviewed government use cases, and demonstrated related tools.
This paper presents a reference architecture for big data systems that is focused on addressing typical national defense requirements and that is vendor-neutral.
In this presentation, the speakers discussed what the term “data science” means, what skills a data scientist brings to the table, and what competitive edge data science can bring to your team.
This paper presents an architecture that automates metric collection processes for big data systems using a distributed runtime observability framework.
This infosheet describes the benefits of and requirements for taking the Big Data Architectures and Technologies course for architects and technical stakeholders.
This paper presents a reference architecture for big data systems. It uses a model-driven engineering toolkit to generate architecture-aware monitors and application-specific visualizations.
This paper describes the challenges of big data systems for software architects, including harmonizing designs across the software, data, and deployment architectures.
In this presentation, Eliezer Kanal discusses how machine learning speeds prediction and classification in cybersecurity.