Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

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Showing 1 - 10 of 39 results for the Big Data

Presentation | March 2017 - Presentation 6 Things You Need to Know About Data Governance By John Klein

This presentation presents a framework to guide governance decisions.

Presentation | November 2016 - Presentation Data Science: What It Is and How It Can Help Your Company By Eliezer Kanal, Brian Lindauer

In this presentation, the speakers discussed what the term ,data science҆ means, what skills a data scientist brings to the table, and what competitive edge data science can bring to your team.

Brochure | December 2016 - Brochure Big Data Architectures and Technologies: SEI Training

This infosheet describes the benefits of and requirements for taking the Big Data Architectures and Technologies course for architects and technical stakeholders.

Conference Paper | May 2016 - Conference Paper A Reference Architecture for Big Data Systems in the National ... By John Klein, Ross Buglak (Data to Decisions Cooperative Research Centre), David Blockow (Data to Decisions Cooperative Research Centre), Troy Wuttke (Data to Decisions Cooperative Research Centre), Brenton Cooper (Data to Decisions Cooperative Research Centre)

This paper presents a reference architecture for big data systems that is focused on addressing typical national defense requirements and that is vendor-neutral.

Conference Paper | April 2016 - Conference Paper Model-Driven Observability for Big Data Storage By John Klein, Ian Gorton (Northeastern University), Laila Alhmoud (Carnegie Mellon University), Joel Gao (Carnegie Mellon University), Caglayan Gemici (Carnegie Mellon University), Rajat Kapoor (Carnegie Mellon University), Prasanth Nair (Carnegie Mellon University), Varun Saravagi (Carnegie Mellon University)

This paper presents an architecture that automates metric collection processes for big data systems using a distributed runtime observability framework.

Conference Paper | January 2015 - Conference Paper Runtime Performance Challenges in Big Data Systems By John Klein, Ian Gorton

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.

Article | May 2014 - Article Distribution, Data, Deployment: Software Architecture ... By Ian Gorton, John Klein

This paper describes the challenges of big data systems for software architects, including harmonizing designs across the software, data, and deployment architectures.

Conference Paper | May 2015 - Conference Paper Architecture Knowledge for Evaluating Scalable Databases By Ian Gorton, John Klein, Albert Nurgaliev (Carnegie Mellon University)

This paper presents a feature taxonomy that enables comparison and evaluation of distributed database platforms and demonstrates it with nine database technologies.

Webinar | August 2016 - Webinar Data Science: What It Is and How It Can Help Your Company By Brian Lindauer, Eliezer Kanal

In this webinar, we discussed what the term ,data science҆ means, what skills a data scientist brings to the table, and what competitive edge data science can bring to your team.

Conference Paper | July 2015 - Conference Paper Application-Specific Evaluation of No SQL Databases By John Klein, Ian Gorton, Neil Ernst, Patrick Donohoe, Kim Pham (Telemedicine and Advanced Technology Research Center - U.S. Army Medical Research and Material Command), Chrisjan Matser (Telemedicine and Advanced Technology Research Center - U.S. Army Medical Research and Material Command)

This paper reports on the selection of a NoSQL database for use in an Electronic Healthcare Record system being developed by a large healthcare provider.

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