- Querying the Most Granular Demographics Dataset - Aug 13, 2021.
Having access to broad and detailed population data can potentially offer enormous value to any organization looking to interact with specific demographics. However, access alone is not sufficient without being able to leverage advanced techniques to explore and visualize the data.
- Graphs Are The Next Frontier In Data Science - Oct 18, 2018.
GraphConnect 2018, Neo4j’s bi-annual conference, was held in New York City in mid-September. Read about what happened, and why graphs are the next big thing in data science.
- 7 Steps to Understanding NoSQL Databases - Jul 27, 2016.
Are you a newcomer to NoSQL, interested in gaining a real understanding of the technologies and architectures it includes? This post is for you.
- Top NoSQL Database Engines - Jun 10, 2016.
An overview of the top 5 NoSQL database engines in use today, including examples of key-value, column-oriented, graph, and document paradigms.
- Do more with Python: Creating a graph application with Python, Neo4j, Gephi, and Linkurious - Oct 14, 2015.
Here is how to build a neat app with graph visualization of Python and related topics from Packt and StackOverflow, combining Gephi, Linkurious, and Neo4j.
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- Linkurious Enterprise democratizes graph visualization - Apr 20, 2015.
Linkurious announces the launch of Linkurious Enterprise, the first data visualization platform for graph databases.
- Associations and Text Mining of World Events - Sep 30, 2014.
Applying frequent itemset analysis to text may seem daunting, but parallel hardware and two insights open the door to theme extraction.
- Linkurious: Explore and Visualize Graph Data - Jan 22, 2014.
Linkurious is designed to handle big data and be easy to use; it is focused on local exploration - search any information within a graph and start exploring the connections from this point.