I was very interested in the subject, but hated this video.
Very superficial, started off with a complicated relational schema to criticize relational databases, but never ended up explaining how a graph database would simplify the problem. I thought that the graph database concepts + language was way more complex than SQL schema + language.
Very fast talking and moving of slides, is this supposed to sound or look smart? On top of that, 50% of the time the video was a close up to the presenter's face moving left and right in an awkward fashion.
Good feedback. I might need similar feedback for my upcoming talk. I am about to give a talk about Cayley (open source graph db written in Go) and I am working on my slides
http://oren.github.io/adventure-graphs
Let me know what you think and also join us on IRC (#cayley on freenode) if you find it interesting.
TL;DR: graphs are everywhere in the real world, so using a graph DB will be simpler and more efficient; examples of graph queries follow.
Thank you but may I ask who this presentation is for? Because from a quick glance, it's not very deep in technical details. I mean I'm curious about graph databases, but comparing them to vanilla SQL schemas isn't very informative. What I really want to know is what makes them different from denormalized schemas (which is what I expect most people would use).
Very superficial, started off with a complicated relational schema to criticize relational databases, but never ended up explaining how a graph database would simplify the problem. I thought that the graph database concepts + language was way more complex than SQL schema + language.
Very fast talking and moving of slides, is this supposed to sound or look smart? On top of that, 50% of the time the video was a close up to the presenter's face moving left and right in an awkward fashion.