01
warehouse
Step 1: Choose a Data WarehouseSnowflake, BigQuery, or Redshift — how to choose the right data warehouse for your startup without regretting it in 18 months.
// getting started
Getting Started
A sequenced guide for startups building their first data stack. Four steps from zero to a production-grade pipeline.
02
ingestion
Step 2: Connect Your Data SourcesHow to move data from SaaS tools and databases into your warehouse. When to use Fivetran, when to use Airbyte, and what to avoid.
03
transformation
Step 3: Transform Your Data with dbtHow to set up dbt for your startup, structure your models, and go from raw ingested tables to clean, tested data your team can actually use.
04
orchestration
Step 4: Orchestrate Your PipelinesWhen cron stops being enough. How to add proper orchestration to your data stack with Dagster or Airflow — and which to pick as a startup.