Presented by:

Ee996d54796a7772b3a0c08b5adf6b7b

Raj Singh

IBM
No video of the event yet, sorry!

Data science and machine learning are some of the very few things PostgreSQL isn’t already awesome at. While there are some recent experiments at bringing these technologies directly into the database, there are much easier ways to leverage the huge ecosystem of data science and ML tools already built around Python, Spark and Jupyter Notebooks while keeping PostgreSQL at the heart of your operations. In this talk I’ll demonstrate how it all works together on the IBM Cloud, dynamically bringing PostgreSQL tables into Spark, building analytic models in a Jupyter Notebook, and publishing the results out to the web as an interactive dashboard.

Notes about submission: Can be under the cloud or use cases track Can be 20 or 50 minute breakout session

Date:
Duration:
20 min
Room:
Conference:
PostgresConf US 2018
Language:
English
Track:
Cloud
Difficulty:
Medium