In what is perhaps one of the most visually striking uses of Google BigQuery to analyze cryptocurrency data, graphic designer Thomas Silkjaer exported Wind’s data to a special graphical database, called Neo4J, that visually renders data in ways that make patterns more apparent. By merging his skills as a graphic designer for Bibles with Wind’s data, Silkjaer gives a glimpse of what is possible. His graphs show simple transactions between wallets but give what is perhaps the most memorable answers to the question, what is a blockchain?
“You now have public access to view all transactions on a payment network,” said Silkjaer, “We have never had that before with banks, because each bank is secretive.” Silkjaer is now working to classify the transaction clusters into categories and visually paint a picture of which addresses are being used for trading, for making purchases, or for sending collateral to loan providers. Day sees Silkjaer’s work as an example of things to come. “That’s what I’m actively working on right now,” he adds. “Getting the data available in graph data structures to enable those types of queries.”
Keywords: BigQuery • blockchain • cryptocurrency • transaction