Graph Analytics for SQL Developers

Graphs make it simple to analyze relationships, find indirect dependencies, and uncover anomalous patterns in data. With native support for graphs, standard query languages SQL/PGQ and SPARQL, and Java and Python APIs for prebuilt graph algorithms, SQL developers can use popular and built-in database tools to work with graphs. Melliyal Annamalai, Distinguished Product Manager at Oracle, will show code examples to easily create graphs from relational tables, and query, analyze, and visualize graphs, all using Graph Studio in Autonomous Database.
Try a hands-on lab: apexapps.oracl...