The Data Stack Show cover image

The Data Stack Show

40: Graph Processing on Snowflake for Customer Behavioral Analytics

Jun 16, 2021
57:46

Highlights from this week’s episode include:

  • Launching Affinio and the engineering backgrounds of the co-founders (2:36)
  • The massive transformation in customer data privacy regulation in the past eight years (6:23)
  • Creating the underpinning technology that can apply to any customer behavioral data set (10:05)
  • Ranking and scoring surfing patterns and sorting nodes and edges (14:13)
  • Placing the importance of attributes into a simple UI experience (19:28)
  • Going from a columnar database to a graph processing system (25:20)
  • Working with custom or atypical data (32:46)
  • The decision to work with Snowflake (37:43)
  • Next steps for utilizing third-party tools within Snowflake (52:18)

The Data Stack Show is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode