Data Engineering services and expertise to help you author, deploy, monitor, and support data products faster and more reliably.
Organizations around the world are scrambling to move from legacy data stores and warehouses to modern, cloud-based services — only to wind up with data products that are plagued by errors, expensive to maintain, and too unstable to scale or to run in-production at all.
phData Data Engineering enables you with capabilities to author, deploy, and support your mission-critical data products. Drawing from experience across thousands of data engineering and machine learning projects, we use technology-specific best practices every step of the way — from architecture design to deployment automation to pipeline monitoring — to help ensure your data products are stable, scalable, and cost-effective.
As the leading provider of data engineering services for streaming, batch, and interactive data products with Cloudera, we ensure the success of even the most complex data deployments.
Many businesses contract big teams of inexperienced, generalist devs who often train themselves on core ecosystem technologies on the fly. But not phData. We bring in a small team of highly specialized solutions architects and data engineers who know how to get the job done right the first time — with hands-on experience implementing technologies like Databricks, Snowflake, Scala, and Spark at-scale. This “go-deep” approach beats “going wide” in every single dimension, including cost.
Our emphasis on automation, repeatability, monitoring, and process standardization minimizes human error, and therefore risk. With broad experience delivering data products in industries with strict compliance regulations (e.g., GDPR, CCPA, and HIPAA), we understand the importance of keeping security top-of-mind — from design to deployment to production.
Learn how phData can help solve your most challenging data analytics and machine learning problems.
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