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Episode 165:

SQL Queries, Data Modeling, and Data Visualization with Colin Zima of Omni

November 22, 2023

This week on The Data Stack Show, Eric and Kostas chat with Colin Zima, the Co-Founder and CEO of Omni, a company building consistency of a shared data model with the freedom of SQL. During the episode, Colin, a former Looker employee and Co-Founder of Omni, shares insights into Looker’s impact on the data industry, its unique architecture, and the role it played in the evolution of data analytics. He also discusses the concept of an analytics engineer, the balance between governance and flexibility in data modeling, the future of business intelligence, the merging of SQL and Python, the vision for Omni, and more.

Notes:

Highlights from this week’s conversation include:

  • Colin’s Background and Starting Omni (1:48)
  • Defining “good” at Google search early in his career (4:42)
  • Looker’s Unique Approach to Analytics (9:48)
  • The paradigm shift in analytics (10:52)
  • The architecture of Looker and its influence (12:04)
  • Combatting the challenge of unbundling in the data stack (14:26)
  • The evolution of analytics engineering (21:50)
  • Enhancing user flexibility in Omni (23:44)
  • The evolution of BI tools (32:53)
  • What does the future look like for BI tools? (35:14)
  • The role of Python and notebooks in BI (39:48)
  • The product experience of Omni and its vision (45:27)
  • Expectations for the future of Omni (47:52)
  • The relationship between algorithms and business logic (50:51)

 

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. 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.

About the Podcast

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.

To keep up to date with our future episodes, subscribe to our podcast on Apple, Spotify, Google, or the player of your choice.

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