The StreamSets Platform has enabled TalentFulfilled to build a cloud-based talent agent platform to help people to get the most from their careers.
Helping students launch fulfilling careers and become valued contributors with the right skills is at the heart of TalentFulfilled.
TalentFulfilled leverages a world of abundant data to help students identify trends and specialize their skillsets. The company scrapes websites, analyzes “X” (i.e. formerly Twitter) streams for sentiment analysis and collates LinkedIn jobs postings to put together comprehensive trend models that help students stay relevant.
Challenge
The smart career platform analyzes data from corporate websites, X streams, and job postings to uncover hot job trends, and in-demand skills, and guide students toward sustainable careers. Managing complex and streaming data sources require an agile approach to pipeline development.
"DataOps makes my life easier. Data engineers don’t just do development, they can actively monitor and make continuous improvement changes to data pipelines.”
- Jeffrey Jennings, Senior Data Strategy Architect, TalentFulfilled
Solution
To manage the deluge of complex and streaming data sources, TalentFulfilled uses the StreamSets Platform to build microservices and stream processing. The StreamSets Platform also gives TalentFulfilled a visual design experience so they can ditch the hand-coding and broaden the skills of the entire data team. The team can proactively monitor their pipelines and get ahead of potential issues with broad system visibility.
Results
Instead of hand coding, TalentFulfilled data engineers use StreamSets to build microservices and stream processing. The team now monitors data across the system to ensure continuous data delivery for analysis, so they can help students match passions to prospects. Students are now enabled to find their optimum career choice to be competitive in the marketplace.
