Masterclass: Scalability design in a graph database without losing performance
May 8 | KGC 2023
•
1h 29m
Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios. This, on the one hand, is heavily influenced by the sustained rising and popularity of big-data processing frameworks, including but not limited to, Hadoop, Spark and NoSQL databases; on the other hand, as more and more data are to be analyzed in a correlated and multi-dimensional fashion, it’s getting difficult to pack all data into one graph on one instance, having a truly distributed and horizontally scalable graph database is a must-have.
Up Next in May 8 | KGC 2023
-
Masterclass: Using Dgraph to Explore ...
This masterclass will take participants through the analysis, loading, and querying of the Offshore Data Leaks dataset from the International Consortium of Investigative Journalists (ICIJ) into a single-node Dgraph cluster. The data set comprises over 2 million nodes and 3 million
relationships e... -
Masterclass: Predict Links in a Knowl...
Attendees who take this Masterclass will come away with a completed semantically enriched Knowledge Graph.
Hands-on instruction will show how to build a Semantic Layer, including building a model, representing metadata with real business meaning, creating business rules, using inferencing to fi...
-
Masterclass: Open Research Knowledge ...
The ever-increasing number of published scholarly articles imposes significant challenges in organizing scholarly knowledge. We present the Open Research Knowledge Graph (ORKG), a scholarly infrastructure that provides scholarly knowledge as structured data stored within a knowledge graph. With i...