Agile Data Integration and Graph Automation for Enterprises
Data silos are a challenge to the digital transformation. When data is isolated in one department or database and not available to an entire organization, employees have to spend a lot of time searching for information. This is very costly to organizations. PoolParty UnifiedViews solves this problem through agile data integration. With it, organizations have an overview of all their knowledge in one single place, without the need to create and build more data.
UnifiedViews’s pipeline and its Data Processing Units (DPU)
An example of agile data integration using UnfiedViews for an HR Use Case
How does PoolParty UnifiedViews work?
UnifiedViews is an Extract-Transform-Load (ETL) framework that natively supports RDF data and ontologies. It is part of the PoolParty Semantic Integrator product bundle that helps organizations to integrate different data types and to connect them in a Knowledge Graph.
Knowledge Graph technology helps to pinpoint exactly where your data currently is and what it means, so that it can be re-used immediately and effectively.
After transforming data into RDF, you can store it and use it for any end-user application. UnifiedViews has a graphical user interface for the administration, debugging, and monitoring of the ETL process. This interface helps to be more agile from the perspective of data changes compared to other data models.
UnifiedViews uses RDF standards – a semantic web approach – to break down data silos after generations built them up. RDF data is represented as a graph, which is closer to how human thinks – through context and relations. By transforming data into RDF, UnifiedViews can link all your data together at scale – be it structured or unstructured. It ensures that your data points are not only connected but also talking to one another; helping you to transform data into linked data. Data will no longer have to be moved or transformed in order to be used.