Table of Contents

  1. Data transformation
  2. Data testing
  3. Implementations + deployment
  4. Documentation + metadata
  5. The modern data stack
  6. Data dream teams

Lessons in prioritization: How to balance the 'quick questions' against your team's long-term plan

Jacob is an Analytics Engineer with experience designing systems for self-serve analytics in the health tech and transportation spaces. In his work, he helps create data platforms that strive to handle everything from simple questions from casual data consumers to complex questions from data-savvy, subject-matter experts. When he's not writing SQL, you can find him analyzing a case of wine or modelling treat allowances with his cat, Phoebe.

Originally presented on 2020-12-11

You’re in a state of flow, building out dbt models to describe a new data source. The work is one part of a multi-stage project. And then you get the dreaded message — 'Quick question about this data...'

As a data team, how do you balance the roadmap work against those 'quick' questions? In this talk, we'll learn how Data Clinics, dedicated time put aside to work on these requests, can help your data team achieve this balance and empower self-serve along the way.

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