4 June 2019
Major institutions are commonly faced with thousands of isolated “data silos”. Lyft, Google, and NASA are using data lineage to improve their infrastructure, turning information sets into structured data-points, and allowing individuals to form unique insights by forming new, interconnected relationships.
Thinknum, a venture-backed alternative web data platform developed Kgbase - collaborative, robust database with an intuitive interface that allows users to create, modify, and collaborate on public and private datasets.
Justin Zhen, the co-founder of Thinknum, will be joining us as a speaker.
He will discuss best practices for knowledge graph applications in data science for building and scaling data lineage during this event.