Here's the transcript of our conversation:
RVB: 00:02.617 Hello everyone. My name is Rik Van Bruggen from Neo Technology and here I am recording another podcast session for the Neo4j Graphistania podcast. Tonight, I'm joined by someone from the beautiful Midwest in the USA. I've got Dustin Cote from Decorah, Iowa on the Skype call. Hi Dustin. How are you?
DC: 00:25.316 Hi Rik. I'm doing great. How are you
RVB: 00:27.268 Very, very good. Thank you for joining me. It's always great to have people from different parts of the world on this podcast. I've read some of your work in the communities and in the GraphGist, Dustin, but most of our listeners probably haven't yet. Do you mind introducing yourself to us and telling us who are, what do you do, and what's your relationship with the wonderful world of graphs?
DC: 00:53.085 All right. My name is Dustin Cody. I currently live in a northeast corner of Iowa in a small rural town by choice. I work for Luther College. It's a small, private college and just started last year. Prior to that, I was working at the University of Wisconsin-Madison and worked there for seven years as a PeopleSoft programmer analyst with emphasis in database design. Before that, I was a data warehouse administrator, and before that, I was doing stuff with databases and before that, I was learning to program in seventh grade. I've been around for a while, well seasoned as they say. That's what I'm working on, mainly because of my experience with ERP systems. Seems like no one wants to work on old technology, so there's always a niche for that.
RVB: 01:45.121 The world would stop turning without old technology, I think.
DC: 01:49.133 It would, believe it or not.
RVB: 01:50.191 It would, I absolutely do. Dustin, what's your relationship with Neo4j and graph databases? How did you get into them?
DC: 01:59.511 Very recently, there was a competition for GraphGist on Neo4j and I thought, "What a great to finally finish one of my project ideas." It had a deadline and basically, it was the only thing I needed to finish the project. I put together a conference data model, because I was going to a conference and I wanted to know different things from the booklet they gave you, but because it's in a certain order, you can't find out certain things. I knew that a graph database would be the perfect way to query on different angles and different ways of looking at your data. Before that, I would say back in 2008 when one of our companies moved and I was worried about competing against 25 Java developers, unleashed onto the town for jobs, I went back to school. Even though it turned out not to be an issue being reemployed, I continued to go back to school and get my masters. It was then that I was doing a research paper and one of the papers I was doing was to debunk over-hyped technologies. One of them was the Semantic Web.
DC: 03:03.407 I heard of the Web 3.0 and thought to myself that this has been over-hyped. I've heard about it for years and I haven't seen anything about it. So while researching it, I realized that this is exactly what I had been looking for to solve so many of my own database projects. For example, I had some projects where I was saving just spare data. So, for instance, when you save music, MP3s or songs, it's usually saved as artist, album and song name. Well, if you talk to classical music enthusiasts, they care about orchestras and maybe the conductor, or the original composer. They look at different things, but it's the same item almost, and you still have to store it. You know, by the time I was done designing all the different kinds of genres, there was just no database for relational databases that could handle it well. And when I looked into Semantic Web, I realized that this was the solution. And back then, there was a NOSQL movement. I would say Semantic Web - since it saves as tuples or triples - I believe it's based on graph databases, a little more formal perhaps. And so my natural-- so all of the uses I found for Semantic Web I also find useful for Neo4j. And at the time, when I was choosing which graph database to use, Neo4j was the one that I had heard the most. It had the best reviews at the time. And so I decided to spend the little time I had with raising two kids to learn a new technology. And so that's why I picked Neo4j.
RVB: 04:40.390 Interesting, yeah. It's very much related technology, and that we could talk for more than what we have in this podcast about the differences between Semantic Web databases and Neo4j, because they are quite different. But [chuckles], we'll take that off-line. But they are different but related technologies, I would say. What did you like about graph database then? What problems was it solving for you? Why was it such a good fit for some of the things that you had found problematic in other databases?
DC: 05:18.521 One of the things I've always liked is how you can make non-obvious connections. You might have two different graft sets that are unconnected at the moment, but some time in the future if you're still collecting data you might [inaudible] two nodes together, and then suddenly your same query would return different results, and, in fact, maybe solve a problem. I think one of the examples I saw long ago was perhaps besides the NASA and CIA kind of examples, would be different language authors, and they might have a different name in one language than another. You might be following him and you suddenly make the connection and realize that they have all this other body of work. So I like those kind of solutions that the graph database is continuously growing and making connections for you.
RVB: 06:08.085 Yes, like inferring new paths between different parts of the graph. Is that what I'm hearing?
DC: 06:15.632 Well-spoken. Yeah, exactly [laughter].
RVB: 06:19.269 Yeah, well. I mean that is a-- that's one of the examples that I always give. It's like the path finding. I've got these two things and how are they connected to each other, and show me those connections. Whether you're talking about a [BR?] data set or a social network or recommendation engine, that's one of the most powerful use case-- those hidden connections as you call it.
DC: 06:41.392 Right, and with database design, when you're working in large company, you have to spend so much time, ahead of time, designing things. And then once it's approved, and then once it's implemented, many months or years can go by and once it's done, you're pretty much nail in the coffin, and you really don't want to change it again because you don't know what you might change. With graph databases, sometimes you can add a whole new set of features or properties, and it won't affect the past data you had. It'll actually just enrich the data you have in your new applications that can leverage it. That's very powerful.
RVB: 07:16.441 That's such a powerful point that you're making there, and I think it's also why it's like a perfect storm now for graph databases because of the whole agile developing paradigm as well. You know, people don't develop waterfall systems anymore. You know, they try to take a much more leaner approach to software development. You don't know what you don't know when you're developing a new system. It's a great fit for that, I think, as well. Dustin, where do you think this is going? Where do you, personally, want to take this? I'll put some of the links to your work on the blog post with this podcast recording, but where do you see it going? What do you want to do with it? Where do you see the industry taking it?
DC: 08:04.811 Where I personally want to take it is, perhaps, more projects that can help categorize interests. I've been an internal description, is my industry. I'm might be interested in homesteading or something. There are podcasts out there that are in the 2,000 episode range and it would be great to be able to categorize those and find exactly what you're looking for, maybe even the author or the interviewee. Some day, maybe you'll have 2,000 interviews here.
RVB: 08:33.387 Oh my God [chuckles].
DC: 08:35.375 You never know how you can tie all those people together. People bring such great resources from their work. You know, [hack the plans?], it's more like categorize the plan. I think graph databases is good for that. As far as the world's future, I think this is a tool that's generic enough and powerful enough that someone out there that doesn't even know anything about this yet is going to come up with an idea, use your project and platform, and come up with something new. It's just that kind of technology that you're creating and it's really going to be anyone's imagination really, something that we haven't even thought of yet.
RVB: 09:18.040 Like a platform for innovation, basically? Like doing--?
DC: 09:20.356 Absolutely.
RVB: 09:22.665 Super relevant. I really like that perspective. I really do. I think, for example, in the past couple of months, we've seen at Neo4j when some of the Panama Papers research was published and stuff like that. That was for us fantastic validation. That would never have happened ten years ago and now it's happening because of the small contribution that we're making, I guess.
DC: 09:49.082 Absolutely. I like your ramp up time to test out Neo4j with that web interface you have, where you can start importing right away. It's a great tool.
RVB: 09:57.583 Very cool. Very nice. Thank you, Dustin, for spending your time with me on this recording. As you know, I like to keep these things short and snappy and digestible for everyone. We'll put some of the links to your work with the transcription, but for now, I want to thank you very much for coming online. I hope to meet you in person, face-to-face, at some point [chuckles].
DC: 10:21.682 It's my pleasure and keep up the good work.
RVB: 10:23.838 Thank you so much. Bye.
DC: 10:25.481 Bye.Subscribing to the podcast is easy: just add the rss feed or add us in iTunes! Hope you'll enjoy it!
All the best