Today’s complex data landscape can be overwhelming. With traditional databases, it’s a monumental task to reveal the connections and insights you need for your data-driven projects – and in some cases, they’re simply not up to the task.
Knowledge graphs and graph databases offer an intuitive, efficient approach to understanding relationships and insights between data points and sets. Designed to handle large amounts of data, they provide not only intuitive data modeling but also built-in analytics and visualization, and can even ground an LLM.
How can you leverage these increasingly popular tools for your work? Get the answers in this on-demand webinar with Dr. Jesús Barrasa, the co-author of the O’Reilly book “Building Knowledge Graphs: A Practitioner’s Guide.”
- How knowledge graphs came to underpin complex data-driven projects
- The advantages of native graph databases over other choices
- Best practices in designing and implementing knowledge graphs
- Real-world use cases and success stories
||rich text_1482555||
||rich text_1482559||
Sed ac purus sit amet nisl tincidunt tincidunt vel at dolor. In ullamcorper nisi risus, quis fringilla nibh mattis ac. Mauris interdum interdum eros, eget tempus lectus aliquet at. Suspendisse convallis suscipit odio, ut varius enim lacinia in. Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Sed ac purus sit amet nisl tincidunt tincidunt vel at dolor. In ullamcorper nisi risus, quis fringilla nibh mattis ac. Mauris interdum interdum eros, eget tempus lectus aliquet at. Suspendisse convallis suscipit odio, ut varius enim lacinia in. Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Sed ac purus sit amet nisl tincidunt tincidunt vel at dolor. In ullamcorper nisi risus, quis fringilla nibh mattis ac. Mauris interdum interdum eros, eget tempus lectus aliquet at. Suspendisse convallis suscipit odio, ut varius enim lacinia in. Lorem ipsum dolor sit amet, consectetur adipiscing elit.