Past Event! Note: this event has already taken place.
Systems and Applications for Graph Data with Khaled Ammar, Data Scientist – Thomson Reuters Innovation Labs
September 25, 2018 at 1:30 PM to 3:30 PM
Location: | 5345 Herzberg Laboratories |
Cost: | Free |
Audience: | Anyone |
Key Contact: | Kathryn Elliott |
Contact Email: | kathryn.elliott@carleton.ca |
Contact Phone: | 613-520-2600 x3244 |
In this talk…
Large volumes of data generated from human interaction - with software systems that support daily applications in areas such as commerce, law, and entertainment - have given rise to what is commonly referred to as the “Big Data Problem”. Graph data is of growing importance in this context. Applications that rely on graph data include the semantic web (i.e., RDF), bioinformatics, finance and trade, and social networks among others. Graphs naturally model complicated structures, such as protein interaction networks, product purchasing, business transactions, relationships and interactions in social or computer networks, and web page connections.
The size and complexity of these graphs raise significant data management and data analysis challenges. In my talk, I will start by an overview of existing parallel systems for graph analysis, then show how dynamic graphs could be supported, and conclude with relevant use cases for graph data at Thomson Reuters.