2 posts tagged with "Graph & Data Engineering"

Getting a handful of objects into a vector database is easy. Getting millions in — reliably, without silently dropping data or melting your throughput — is where most ingestion pipelines start to hurt.

Social networks are a natural fit for graph data: people are nodes, relationships are edges, and the questions you actually care about — who's central, which communities form, how information spreads — are questions about structure.