Soda, the provider of data reliability tools and observability platform, today announced an incident management workflow integration with dbt, the data transformation tool maintained by dbt Labs. The integration significantly enhances efficiency and teamwork for analytics engineers with incident management workflow on tests that have been developed and automated in dbt.
dbt is a development environment that speaks the preferred language of data analysts: SQL. Analytics engineers use dbt to transform raw data as a development framework that combines modular SQL with software engineering best practises to make data transformation reliable, fast, and fun.
In the modern data architecture, data management is computationally tied into every step of the data flow and product lifecycle and, given the cross-functional nature of data, teams are dependent on each other to provide reliable high-quality data, every day. dbt helps to build robust data pipelines and enforces the execution of data tests at the point transformations are coded; it gets the data flowing. Integrating the transformative power of dbt with the observability and incident management workflow capabilities offered by Soda enables a comprehensive, end-to-end workflow to detect and resolve issues.
“The beauty of the modern data stack is that it’s extensible and flexible enough that you can use the tools that are best suited for the job at hand,” said Cor Zurmond, a Data Engineer at GoDataDriven. “Data observability is a key part of the modern data stack, so I’m excited to see Soda integrating with popular data tools like dbt so that data users can use their preferred tools without having to compromise on data quality issues. Being able to mix and match between dbt’s ‘strict’ tests, that block the continuation of your data transformations and Soda’s ‘soft’ tests, that detect data issues which creep into your data models, will make for an excellent development experience for data engineers like myself, and further improve the trust in the data for all consumers.”
Soda’s integration with dbt delivers the following capabilities for data teams:
“dbt is widely considered to be the number one tool for analytical data transformation,” explained Maarten Masschelein, CEO and Co-founder, Soda. “Soda’s data reliability tools and observability platform simplifies data quality processes, so by integrating with dbt we are introducing streamlined issue resolution processes to help analytics engineers to spend less time worrying about data quality issues and more time working on data transformation. We’re proud to have been able to meet the needs of data teams by bringing dbt to Soda Cloud, making it possible to get ahead of issues and maximize data availability.”
Full information on how to get started with the integration available on the Soda blog here.
Soda is the data reliability company that provides Open Source (OSS) and SaaS tools that enable data teams to discover, prioritize, and resolve data issues. Soda’s mission is to bring everyone closer to the data, resulting in data products and analytics that everyone can trust. The Soda global data community already counts Disney, HelloFresh, and Udemy as major contributors to have deployed Soda’s data reliability tools. Soda is one of the 2021 Gartner® Cool Vendors™ in Data Management [1], recognition and validation for our approach to solving the number one data management challenge faced by modern organizations: ensuring high quality, trusted data is available to enable confident decision making, serve and delight customers, and improve processes. For more information, visit soda.io.
