phData can help you operationalize data and machine learning to reliably put data products into production on Snowflake.
Common Challenges Implementing Snowflake
Organizations don’t have a defined chargeback model which can make it easy to run up a significant bill as multiple business units ask for access.
Overlooking a Snowflake role hierarchy which can end up with thousands of different role types trying to grant access to your users based on your original role design.
Lacking a well-thought-out strategy for ingesting data. Without one, people will ultimately waste a lot of credits and time doing it poorly.
Not continuously monitoring the Snowflake platform and pipelines. Missed errors can cost organizations large amounts of time and money.
Sound Familiar?
Every business we work with experiences this. You are not alone.
This is the reason phData exists. phData has the people, experience, and best practices to get the job done right. By using our lean, more specialized, and experienced team — as well as our software and automation — our customers typically save 20-35 percent on their pipeline implementation & support costs.
Get Our Implementation Best Practices Checklist for Snowflake
How Can phData Help?
Data Engineering
We bring proven tooling, automation, and engineers with deep Snowflake expertise to get your streaming, batch, and interactive data products into production.
Cloud DataOps
We deliver 24×7 monitoring, management, and administration for your data pipelines and applications, with a focus on driving down cost and delivering the best user experience.
Machine Learning
With services across the full ML lifecycle, our experienced data scientists and ML engineers help you build, train, and deploy ML models, then ensure those models continue delivering value.
