After more than seven years in the data science industry, I have become convinced of two things.
First, graphs (including graph databases, graph data science, and graph visualizations) are largely untapped powerhouses in the field of data science. Graphs can enhance analysis, improve machine learning algorithms, and ground LLMs on local data with no additional model tuning. Since I was introduced to the wonderful world of graphs in 2020, I have never looked back. I want to introduce more dat...
Read it: Turning Your Tabular Data Into a Graph Using Cypher