Collect Twitter data, store them in a graph database, and analyze them using graph algorithms.
A graph database is one of the NoSQL data storage technologies. There are a few graph database implementations. In this article, we will use the Neo4j graph database. The followings are the advantages of it:
Which Database Is Right For You?Graph Database vs. Relational Database. Learn about the main differences between graph and relational databases. What kind of use-cases are best suited for each type, their strengths, and weaknesses.
Your Data Architecture: Simple Best Practices for Your Data Strategy. Don't miss this helpful article.
A data lake is totally different from a data warehouse in terms of structure and function. Here is a truly quick explanation of "Data Lake vs Data Warehouse".
In this article, we first explained some reasons to migrate graph databases from SQL Server into Neo4j. Then we provided a step-by-step guide to migrate Nodes and edges using C#. The code provided may or may not be optimal. I published it on GitHub, so feel free to use it or improve it.
Using the new version of the Neo4j Graph Data Science plugin to compute node embedding and extract them into a pandas DataFrame thanks to…