Table of Contents
- Data transformation
- • Kiro Dreams of Data
- • dbt 101 (EU and US-friendly)
- • Ask the experts: Customer product journey
- • How to build a reputation on more than just dashboards
- • Ask the experts: Version controlling your metrics
- • How to complete a data modeling project at a $6B company
- • Kimball in the context of the modern data warehouse: what's worth keeping, and what's not
- • Seven use cases for dbt
- • Quickstart your analytics with Fivetran dbt packages
- • Building a marketing attribution model with dbt
- Data testing
- Implementations + deployment
- Documentation + metadata
- The modern data stack
- Data dream teams
- • Lessons in prioritization: How to balance the 'quick questions' against your team's long-term plan
- • Getting started with technical blogging
- • How to structure a data team
- • Run your data team as a product team
- • Hiring a diverse data team
- • How to start your analytics engineering team
- • Supercharging your data team
- • Balancing creativity and proficiency as a data team
- • Evaluating an offer in the data space
- • Taking off with dbt: JetBlue's dbt journey!
- • Data dream teams: TripActions
- • Data dream teams: Netlify
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Coalesce 2020
Implementations + deployment
Zero to trillions: how we scaled our data platform to meet Canva's growth in data and teams
Zero to trillions: how we scaled our data platform to meet Canva's growth in data and teams
Canva is growing fast, and with that comes a much higher volume and variety of data. In conjuction with this, Canva's data specialty teams are growing too. In this talk, Jose and Krishna will share how they addressed the challenges that come about with growth, the missteps, the course corrections and what they have planned next.
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Last modified on: Nov 23, 2023