Integration of Python for data science, graph processing for NoSQL-like functionality, and it runs on Linux as well as Windows. At almost 30 years of age, Microsoft's flagship database has learned ...

Learn practical natural language processing (NLP) while building a simple knowledge graph from scratch. VIP CONTRIBUTOR Hamlet Batista August 14, 2020 ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Since the ML Workbench is designed to work with enterprise-level data, it is highly scalable and can be used with very large graphs. TigerGraph lists ML Workbench’s built-in capabilities as the ...

Boxplot provides a graph data modeling tool that enables organizations to visualize and better understand their customers’ data and explore how it relates to other data across their organization.

Spark can be deployed in a variety of ways, provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning, and graph processing.