- Blog
- 10.12.2022
Embrace the code-optional mindset with Matillion


dbt: coded transformations and libraries
- dbt has been on the rise and many dbt developers would like to leverage their coding skills to implement custom transformations and add value alongside their low-code colleagues.
- Many companies using dbt have purpose-built libraries they can embed right inside Matillion jobs, enabling new collaboration opportunities between data developers with different styles as well as providing a single point of orchestration.
Spark notebooks: operationalize machine learning with Matillion
- Spark notebook support means we provide a single point of contact for customers leveraging Matillion to prep data for machine learning, supporting the complete loading, transforming, and analyzing of data. This connects the dots between the ELT operations done in Matillion and the subsequent data analysis that, currently, must be carried out in the data ML platform.
- Additionally, the option to run notebooks from Matillion is one less reason for customers to have to switch between two separate user interfaces in order to perform basic operations on their data.
Coding for every level on a platform for everyone
Matillion’s customer-obsessed mindset informs this commitment to meeting our users at their technical level, with the technical workflows that bring teams together. Our low-code/high-code/your-code capabilities are a big part of this mission. Additionally, support for these technologies keeps us stack-ready, with a best-in-class platform that easily plugs into the most popular tools in our customers’ data ecosystems. We can’t wait to help your team collaborate with these great new tools available today in Matillion's Data Productivity Cloud.

Share: