End-to-end solution makes it easier for organizations to connect and use semantic graph for enterprise-wide analytics
Stardog, the leading Enterprise Knowledge Graph (EKG) platform provider, unveiled Stardog Designer, a no-code, visual environment for creating knowledge graphs, which help data and analytics teams to easily apply knowledge graph technology in their work, improving productivity and enabling better, data-informed decisions.
Top iTechnology Automation News: SER Launches Doxis Intelligent Content Automation
The introduction of Stardog Designer and other new innovations completes a seamless end-to-end user experience that enables data and analytics teams to:
- Connect and explore data virtually in Databricks or other data lakes or cloud data warehouses with just a few clicks.
- Visually create a semantic data model through a virtual white board-like experience.
- Prepare and map source metadata to semantic models through the same drag and drop interface.
- Easily publish models and mappings for data exploration and analysis.
Top iTechnology Cloud News: Dunwoody College of Technology Adds Cloud Engineering Technology Degree Program
According to Gartner®[1], “by 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021”. Additionally, a new commissioned Forrester Consulting study found that enterprises using Stardog’s Enterprise Knowledge Graph realized 75 – 95% improvement in productivity of data engineers and data scientists.
“Stardog has long been a favorite to help data and analytics teams to connect and relate data to unleash analytics that fuel data-informed decisions,” said Kendall Clark, cofounder and CEO at Stardog. “Our newest release is making it easier for data engineers and data scientists to leverage the value of knowledge graph now and ignite their organization’s data fabric journey.”
Top iTechnology IOT News: Snowflake Announces Intent to Acquire Streamlit to Empower Developers and Data Scientists to Mobilize the World’s Data
[To share your insights with us, please write to sghosh@martechseries.com]
