I am also really looking forward to seeing how they take the visualization aspect of Neo4j to the next level, what types of graph apps are going to be available, and the community that’s gonna develop around that.HIPAA requires all Covered Entities to protect PHI ( Protected Health Information ) at rest, in storage, and in transit. I’m excited to see the new things that Neo4j is coming up with, especially the ability coming up in 4.0, to have multiple database instances. The hard part right now, of course, is trying to rebuild your infrastructure to go from a traditional relational database management system to a graph database, especially with the tight budgets that we have. Meza: I think graph databases are going to expand. What do you think is in store for the future of graph technology? I would say to any newbie, don’t be afraid to ask questions because the Neo4j community is very helpful and they can get you up to speed a lot faster. Nowadays, there’s so much information and so much community involvement too. I would have gotten up to speed a lot faster if I had really focused on learning Cypher.īut again, remember that I started working with these things when they were 1.0 command-line interfaces. Meza: One of the things I wish I had done is to really get a better understanding of how Cypher works. If you could go back to when you started using graphs, what would you change?
I could see the connection between topics that by name alone looked very different, but that had information relevant to the topic that I was looking for. I might have found this on the 10th or 11th page of a standard keyword-based search, but with Neo4j, it popped up right away. I did a search, utilizing a correlation analysis to look at different topics, and these topics were connected based on their values. When you do a query and get your result set back, normally you get pages upon pages upon pages of data. Meza: I think part of it is the speed, being able to quickly pull information out of a lot of data that’s there.Īnd I’ve noticed that the queries run a lot faster in Neo4j than in my SQL databases, but the biggest concept is being able to see the connections across the information that you wouldn’t normally see. What have been the most surprising results you have seen from Neo4j? It helps me, especially in some of the research we do, that it can tell us where we’re missing research and where we need to improve upon it. Being able to see a large amount of data on one page and the connections between it and being able to visualize how those entities or those nodes are related to each other. Meza: When I look at Neo4j, what resonates with me is its visualization capabilities. I started looking into the capabilities of utilizing Neo4j, primarily because at Johnson Space Center we work with a lot of engineers, and the visualization aspect of the graph made it a lot easier for engineers to see the data and the connections in the data.
I came across graph databases and found this little company (at that time) called Neo4j. Part of my role is to look at the technology that’s out there. It was in an SQL database and it was very difficult to find information. One of my functions several years ago was to look at our Lessons Learned Database, to understand how we can improve upon it, and how we can search through it and find data a lot faster. In this week’s five-minute interview (conducted at GraphTour DC 2019), we speak with David Meza, Chief Knowledge Architect at Johnson Space Center, about how Neo4j has helped NASA capture and connect decades of lessons learned.ĭavid Meza: I’m a database developer from way back. “I’ve noticed that queries run a lot faster than in my SQL databases, but the biggest concept is being able to see connections across the information that you wouldn’t normally see,” said David Meza, Chief Knowledge Architect at Johnson Space Center in Houston.
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