Siloed data is a challenge most companies are struggling to overcome. Without a holistic view of your data, you’re missing out on opportunities to acquire new competitive advantages in your market. However, integrating disparate data sources, building fully monitored data pipelines, and ensuring CI/CD best practices — all while ensuring data quality, reliability, and security — is easier said than done.
Snowflake Data Engineering from phData provides the support and platform expertise you need to get your streaming, batch, and interactive data products into production. As a leader in the data engineering space, we bring proven tooling, automation, and engineers with deep Snowflake expertise into the equation. This enables you to transform messy, heterogeneous data into a unified data warehouse so you can make crucial, data-driven business decisions.
Unlike general systems integrators — who tend to rely on technology generalists who may be learning Snowflake on the job — we put experienced specialists at your disposal, with deep data engineering and platform-specific expertise.
With a leaner, more agile team that actually understands core ecosystem technologies, we help you see success in weeks, not years — helping you make key technology decisions, build with a cloud-centric approach and Snowflake-specific best practices in mind. And at the end of the day, this “go-deep” approach beats “going wide” in every single dimension, including cost.