Coalesce 2020

Table of Contents

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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
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Data testing
• • Human in the loop data processing
• • Building a robust data pipeline with dbt, Airflow, and Great Expectations
• • Empowering your data team through testing
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Implementations + deployment
• • Securing data at scale with dbt & Snowflake
• • Orchestrating dbt with Dagster
• • Implementing dbt at large enterprises
• • Zero to trillions: how we scaled our data platform to meet Canva's growth in data and teams
• • dbt at the centre of all pipelines
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Documentation + metadata
• • Analytics on your analytics
• • Beyond the Modern Data Stack: dbt Cloud Metadata in Mode
• • When metadata becomes data
• • Three barriers to effective data communication
• • Leveraging dbt metadata in data management
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The modern data stack
• • The future of the data warehouse
• • The post-modern data stack
• • Presenting: SQLFluff
• • Perfect complements: Using dbt with Looker for effective data governance
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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