Top Trends in data science and engineering 2022 - DBTA Webinar

Graph Databases + Graph Data Science


Over the past year, enterprise digital transformation efforts have accelerated dramatically with a substantial focus on not only how data is managed and stored, but how data is leveraged to deliver business insights. DataOps continues to gain a foothold at organizations hungry for speed, agility, and innovation. The adoption of machine learning and complementary technologies, such as knowledge graphs, is on the rise. There is an increasing emphasis on edge data and analytics in concert with IoT initiatives. All the while, the deployment of cloud platforms and services is ever expanding.


  • Jay Yu, Vice President of Product & Information, TigerGraph
  • Anais Dotis-Georgiou, Developer Advocate, InfluxData
  • Nicolas Kruchten, VP Product, Plotly
  • Stephen Faig, Research Director, Unisphere Research and DBTA (moderator)

Download TigerGraph Slides