Streamlining Entry Into Streaming Analytics with JupyterHub and Apache Flink

Explore the power of deploying pipelines with JupyterHub in this 26-minute conference talk from Data Council. Learn how data scientists and machine learning engineers are increasing productivity and scaling their operations. Dive into the pre-configured environment of JupyterHub as a gateway for interactive streaming analytics, and discover how to execute data pipelines seamlessly in a remote Kubernetes cluster. Gain insights from Elkhan Dadashov, Staff Software Engineer at Apple and former Uber AI employee, as he shares valuable knowledge on streamlining entry into streaming analytics using JupyterHub and Apache Flink. Understand how these tools can shorten timeframes and enable larger-scale deployments in the world of data science and machine learning.

Streamlining Entry Into Streaming Analytics with JupyterHub and Apache Flink