About our Snowflake practice
As the first Snowflake partner in Belgium, we have been building and designing good practices and methodologies to support startups, enterprises and governments all across Europe and the United States.
Build your core workloads on Snowflake
We can help you design, build and operate a modern data cloud based on Snowflake technology, integrated with any cloud.
Data Science
Build and deploy large analytics using Snowflake's native python capabilities
Data Engineering
Build and deploy data warehouses, data lakes, data products and data mesh.
Data Applications
Distribute advanced analytical applications through Streamlit, Snowflake's native app builder
Data Warehousing
Centralize enterprise data assets and make those accessible for multiple usecases throughout the organization
Platform governance & cost control
Once your platform goes live, adoption will likely increase exponentially and you will have plenty of activities to monitor. Just like any other on-demand cloud technology, costs may increase exponentially too.
Be sure you’re ready for the Big Go-Live and have a FinOps framework for Snowflake in place. Tropos has deep experience in going-live with Snowflake-centric data platforms and has developed an extensive approach to planning and tracking cost across various usescases and business areas.
Snowflake health check
The barriers to entry for adopting Snowflake are very low. Arguably the lowest of any database on the market. Additionally, Snowflake is deceptively simple to adopt. The SQL syntax is highly ANSI compliant and the speed is very accessible and easy to configure. Also, the configurability of the platform goes far beyond the thin veneer of the GUI.
But make no mistake, Snowflake is a platform that really pays you for best practices.
For these reasons, it is not uncommon to see organizations adopt Snowflake but come back to assess whether it was done correctly and determine if there are any improvements to be made.
To that end, Tropos.io has created a Snowflake Health Check, which incorporates both Automation and Best Practice Engineering to assess a Snowflake deployment.
This is not a person rummaging through your Snowflake instance. This Health Check leverages deep automation into benchmarking the Snowflake instance.
