Snowflake Build 2021 - Accelerating Data Teams with dbt Cloud & Snowflake
Modern businesses need modern data strategies, built on platforms that support agility, growth and operational efficiency.
Snowflake is a data cloud solution that simplifies data pipelines, so you can focus on data and analytics instead of infrastructure management.
dbt is a transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines. It transforms data in the warehouse, leveraging cloud data platforms like Snowflake.
In this lab I followed a step-by-step guide to using dbt with Snowflake and saw some of the benefits this tandem brings.
- How to build scalable data transformation pipelines using dbt & Snowflake
- How to leverage data in Snowflake's Data Marketplace
- A set of data analytics pipelines for Financial Services data leveraging dbt and Snowflake, making use of best practices like data quality tests and code promotion between environments