Knowledge Graph Data Modelling With Terminusdb - Cheuk Ting Ho | PyData Global 2021

Knowledge Graph Data Modelling With Terminusdb
Speaker: Cheuk Ting Ho

Summary
Storing data in a tabular format is not always ideal. Taking advantage of strong data in knowledge graphs can make handling complex data structure possible and data visualization easier. In this workshop, you will get all the basics to start modelling data, building schemas using triples.

Cheuk Ting Ho's Bio
After spending 5 years doing computational research in Physics, Cheuk has transferred her analytical and logical skills in natural science and built a career in data science. Cheuk has been a Data Scientist in various companies which demands high numerical and programmatical skills, especially in Python. To follow her passion for the tech community, now Cheuk is the Developer Relations Lead at TerminusDB - an open-source graph database. Cheuk maintains its Python client and engages with its user community daily.

Besides her work, Cheuk enjoys talking about Python in personal streaming platform and MidMeetPy podcast. Cheuk has also been a guest speaker at Universities and various conferences. On top of speaking at conferences, Cheuk also participates as organizers. Conferences that Cheuk has organized include EuroPython(which she is a board member of), PyData Global and Pyjamas Conf. Believing in gender equality, Cheuk constantly organizes workshops and mentored sprints to support Tech Diversity and Inclusion. In 2021, Cheuk has become a Python Software Foundation fellow.

PyData Global 2021

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

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