Customizing a Graph Solution

In this episode, Dave Bechberger, principal Graph Architect at AWS and author of "Graph Databases in Action", brings deep insights into the field of graph databases and their applications.

Together we delve into specific scenarios in which Graph Databases provide unique solutions, such as in the fraud industry, and learn how to optimize our DB for questions around connections, such as "How are these entities related?" or "What patterns of interaction indicate anomalies?"

This discussion sheds light on when organizations should consider adopting graph databases, particularly for cases that require scalable analysis of highly interconnected data and provides practical insights into leveraging graph databases for performance improvements in tasks that traditional relational databases struggle with.

Guest

Dave Bechberger: My name is Dave Bechberger and I am a technology enthusiast with a passion for architecting and constructing high performance low latency data architectures in complex data domains. I am also an author of the upcoming book from Manning publications: Graph Databases in Action. I currently work in the Global Graph Practice at DataStax where I help customers build the largest distributed graph backed applications in the world. Previously I was the Chief Architect at Gene by Gene, a genetic genealogy and bioinformatics company, where I worked to migrate their legacy technology stack to modern technologies including heavy use of graph databases and Cassandra. Dave has spent his career engaging in full-stack software development in complex data domains such as bioinformatics, oil, and gas, supply chain management, etc. He uses his knowledge of graph and other big data technologies to build out highly performant and scalable systems. Dave has previously spoken at a variety of national and international technical conferences including ND