Getting Started with Big Data Analytics in the Cloud
Thursday, September 17, 2020 (Central Time) — 2:00PM - 3:15PM
Big data analytics and cloud computing have both been ‘hot topic’ areas lately. However, exposure to these topics may be limited in both educational and professional settings. In colleges and universities, many students are not exposed to these topics until the graduate level, if ever. Similarly, many early and mid-career employees working outside of big data or cloud computing may find it hard to find comprehensive surveys of the topic space without formalized project participation. Due in large part to the aforementioned “hot” nature of the field, buzz words, jargon, and “in speak” is prolific and contributes to access barriers. The session aims to bridge this gap for all attendees interested in big data, first by defining key terminology and providing an overview of the fundamentals of the topic space, second by surveying accessible big data analytics tools on the cloud, and third by demonstrating through simple live demos how these tools can be used to solve real-world, common problems across industry, academia, and government– and how they can enable anyone to become a problem-solver backed by big data analytics!
Courtney Thurston, Priyanka Gomatam, Nupur Shukla, Ruining (Elva) Liu, Niharika Dutta, Sricheta Ruj