Presentations

Connecting the Dots: Moving Harvard to the Cloud, Enterprise Architecture, and ITCRB Update Wednesday, December 7, 2016:

Moving Harvard to the Cloud

At the most recent Connecting the Dots event, Jason Snyder, Chief Technology Officer, and Erica Bradshaw, Director of Enterprise Engineering, shared the new vision and plan with representatives from HUIT and the larger Harvard Community.

The Football Players Health Study (FPHS) at Harvard – Informatics Platform, at Harvard IT Summit, Tuesday, June 14, 2016

The FPHS is a long running research study including many different research protocols. The study includes former NFL football players as the key subjects. In this presentation, we will describe the scope of research, the variety of data collection methods, and the security controls being put in place in our partnership with the HMS IT team. More information about the study as a whole can be found athttps://footballplayershealth.harvard.edu/.

Web Accessibility: What You Need to Know and Why, at Harvard IT Summit, Thursday, June 2, 2016

Those of us who are responsible for digital content know about the importance of making websites and applications equally accessible to people with and without disabilities. For many of us, the question is: How can this be achieved? This session will provide an overview about why accessibility is important and where you can find information that you can leverage.

TLT in Action: Stories from the Schools, at Harvard IT Summit, Thursday, June 2, 2016

Curious about the latest technologies used at Harvard in teaching and learning? Want to hear how Schools and HUIT are working together to help faculty leverage technology? Please join us to learn about the Teaching and Learning Technologies (TLT) program, DCE’s plans to help faculty deepen use of Canvas LMS, FAS’s development of LTI tools to expand Canvas, and HUIT’s plans for the future of academic technology.

Building a Cloud-Based Data Warehouse: An HBX Case Study, at Harvard IT Summit, Thursday, June 2, 2016

Amazon Web Services has a hosted data warehouse product called Redshift, a high performance, columnar database ideal for large datasets and heavy analytic workloads. But how do you get your data into Redshift, and what are the analytics options? This talk provides a case study about our implementation of a data warehouse for the HBX online learning platform, including ETL and analytics tool assessment, working with complex data structures from MongoDB, and lessons learned.

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