Data engineers are responsible for providing analysts and data scientists with the relevant data. They use their special engineering knowledge to create data pipelines, i.e., to bring together numerous data sets and technologies. Knowledge graphs can play a central role here.
How Data Engineers Benefit from PoolParty:
Build a knowledge graph which will be the foundation for semi-automated categorisation and linking of content, in many cases scattered across data silos.
PoolParty’s metadata management capabilities allow you to improve search capabilities for structured and unstructured data in combination.
PoolParty lets you start a project-based transition to well-proven graph databases, without exposing your organization to technological risks.
Put your knowledge graphs in place and make sure most of your ingested data and metadata can be transformed into RDF-based data graphs.
Clean data from various sources with the help of ontologies and corresponding consistency checks automatically.
PoolParty’s RESTful APIs ensure that other 3rd party integrations can be rolled out smoothly and efficiently.
Read our Case Study Booklet
Knowledge graphs can benefit every single company by making their data more accessible for all stakeholders. Read this case study booklet and learn about the various customers we have worked with and the different applications of knowledge graphs.