Big Data
Blog Posts
A Fighting Chance: Arming the Analyst in the Age of Big Data
The 2017 SEI Year in Review highlights the work of the institute undertaken from October 1, 2016, to September 30, 2017. This blog post, which was published in the 2017 …
• By Douglas Schmidt (Vanderbilt University)
Reference Architectures for Big Data Systems
This SEI Blog post describes the SEI's work developing and applying reference architecture for big data systems.
• By John Klein
Prototyping for Developing Big Data Systems
This blog post presents the RASP model, which was developed to provide cost-effective systematic risk management in agile big data system development.
• By Rick Kazman
Top 10 SEI Blog Posts of 2016
Discover the 10 most popular SEI Blog posts published in the first half of 2016.
• By Douglas Schmidt (Vanderbilt University)
In Software Architecture
Big Data Technology Selection: A Case Study
In this blog post, we describe how we used Lightweight Evaluation and Architecture Prototyping for Big Data (LEAP4BD) to help the Interagency Project Office achieve their mission to integrate the …
• By John Klein
The SEI Technical Strategic Plan
This SEI Blog post examines research undertaken by the SEI addressing key cybersecurity, software engineering, and related acquisition issues faced by DoD.
• By Kevin Fall
In Reverse Engineering for Malware Analysis
A Five-Year Technical Strategic Plan for the SEI
This SEI Blog outlines a 5-year strategic plan for addressing government software and cybersecurity challenges with the best methods and technologies.
• By Kevin Fall
The 2014 Year in Review: Top 10 Blog Posts
Discover the top 10 SEI Blog posts of 2014, and dive deeper into each area of research.
• By Douglas Schmidt (Vanderbilt University)
In Reverse Engineering for Malware Analysis
Principles of Big Data Systems: You Can't Manage What You Don't Monitor
A continuation of a previous post on building big data systems, this SEI Blog discusses the challenge of managing what data you don't monitor.
• By Ian Gorton
In Software Architecture
Four Principles of Engineering Scalable, Big Data Software Systems
Learn 4 principles for engineering scalable big data software systems and gain insight on handling challenges of large-scale data processing in this SEI Blog.
• By Ian Gorton
In Software Architecture