# Customizing a Graph Solution Page: https://stenobird.com/podcast/data-skeptic/customizing-a-graph-solution Text version: https://stenobird.com/podcast/data-skeptic/customizing-a-graph-solution.md Podcast: [Data Skeptic](https://stenobird.com/podcast/data-skeptic) Published: 2024-12-16T23:03:00+00:00 Episode link: https://dataskeptic.com/blog/episodes/2024/customizing-a-graph-solution Audio file: https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/customizing-a-graph-solution.mp3?dest-id=201630 Processing state: failed JSON: https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/customizing-a-graph-solution Duration seconds: 2287 ## Resource 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. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/customizing-a-graph-solution/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/data-skeptic/customizing-a-graph-solution.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.