Graphs are blooming - again!
A few weeks ago, I wrote a two part blog post about Neo4j Bloom and how I was playing around with my BeerGraph and figuring out some cool features of the new Neo4j product. You can find these posts over here
It included a first little demo video,
that seems to have been liked by a bunch of people :) ... thanks for that.
Now that was very cool. But of course, I have been learning how to work more with Bloom, and we have actually been releasing some additional features in the latest preview releases, so it felt like I needed to revisit the demo a bit - or at least complement it a bit. That's what I just did. Here's another short little video which explains a couple of things
that seems to have been liked by a bunch of people :) ... thanks for that.
Now that was very cool. But of course, I have been learning how to work more with Bloom, and we have actually been releasing some additional features in the latest preview releases, so it felt like I needed to revisit the demo a bit - or at least complement it a bit. That's what I just did. Here's another short little video which explains a couple of things
- how to navigate in Bloom, using different ways of selecting, un-selecting, fitting, and expanding data in the Graph
- how to use Bloom's advanced visualisation capabilities - ranging from using spiffy icons, to working with the really cool zoom-in and zoom-out features. Very difficult to do right in graphs - and our team has really done a great job.
- how to do data editing and cleanup in Neo4j Bloom. Yes! Really! You can just modify nodes in the tool. Without coding.
- how to use the advanced Graph Pattern Search in Bloom. In the previous video I was touting the custom search phrases and the "near natural language" querying - which is absolutely superbly powerful - but even without that there's some very nice pattern search capabilities that you can use without custom search phrases.
So check out this new video - I have added it to the same YouTube playlist for convenience.
Hope this is useful.
Cheers
Rik
Labels: beer, beergraph, bloom, demo, discovery, graph database, neo4j, visualization

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