Table of Contents

    ▶
  1. Data transformation
    2. ▶
  2. Data testing
    3. ▶
  3. Implementations + deployment
    4. ▶
  4. Documentation + metadata
    5. ▶
  5. The modern data stack
    6. ▶
  6. Data dream teams
Coalesce 2020 The modern data stack Perfect complements: Using dbt with Looker for effective data governance

Perfect complements: Using dbt with Looker for effective data governance

Johnathan Brooks

Johnathan is a solutions architect who is excited about helping data folks unleash the power and flexibility of the modern data stack and analytics engineering principles. He has worked as a senior data engineer, product manager, and a data analyst in the past. In his spare time, he enjoys playing ‘name that tune,’ a game of Super Smash Bros, and dancing (even though he doesn’t know how).

Learn how a rapidly growing software development firm transformed their legacy data analytics approach by embracing analytics engineering with dbt and Looker. We’ll outline the complementary benefits of these tools and discuss design patterns and analytics engineering principles that enable strong data governance, increased agility and scalability, while decreasing maintenance overhead.

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Last modified on: Nov 23, 2023