AWS data engineering
Data engineering services for streaming, batch, and interactive data products on AWS.
Building successful data products in the cloud takes more than lifting-and-shifting. It takes the right tools and services. It takes an informed, cloud-native approach to designing architecture, building data pipelines, and implementing security and governance. It takes a robust plan to map out and execute your data platform strategy — all of which is easier said than done.
AWS Data Engineering from phData provides the support and platform expertise you need to move your streaming, batch, and interactive data products to AWS. From solution design and architecture to deployment automation and pipeline monitoring, we build in technology-specific best practices every step of the way — helping to deliver stable, scalable data products faster and more cost-effectively.
AWS Data Engineering Offerings
Get the right level of AWS architecture guidance and data
engineering support for your specific needs:
AWS Data
Modernization
Prepare your organization to take the steps required to transform into a truly data-driven enterprise.
AWS Data
Engineering
Execute and deliver the data products that your business relies on.
AWS Managed
Pipelines
Manage and monitor your mission-critical data products, ensuring success that extends into the future.
Deliver data products in weeks, not months
Proven approaches for faster, scalable success
From data strategy to architecture design to the software development lifecycle, we provide production-tested deployment patterns and solutions, as well as a catalog of automation, to deliver stable data products faster and more efficiently.
Real experts, real
results
Whether it’s data ingestion, Spark engineering for streaming and batch workloads, or migrating to AWS from popular on-prem data platforms, our solutions architects bring the hands-on experience and platform-specific knowledge to get the job done right.
Managed, monitored data pipelines
Poorly implemented pipelines lead to late, missing, or incorrect data. Our approach to pipelines provides higher visibility, proactive alerting, and 24x7 intelligent monitoring from our Managed Pipelines team.
Why phData Data Engineering for AWS?
Depth of expertise over breadth of manpower
Many businesses contract big teams of inexperienced technology generalists who often train themselves on core technologies like Spark, Kudu, and Impala on the fly. But not phData.
We bring small, experienced teams, platform-specific expertise, and an agile approach to show success in weeks, not years — helping you make key technology decisions, build with a cloud-centric approach, and implement your data pipelines with AWS-specific best practices in mind. At the end of the day, this “go-deep” approach beats “going wide” in every single dimension, including cost.
Clarity, confidence, and forward thinking
We go far beyond lifting-and-shifting on-prem data applications to the cloud; instead, we take a cloud-native approach to architecting data products on AWS, for ongoing data engineering productivity and reliability.
From our framework-driven approach to building data ingest pipelines—designed to multiply developer productivity—to the automation and best practices we use for testing, data quality, plugging into alerting, and CI/CD, we build and develop with long-term scale and efficiency in mind.
Dedicated support and vigilant security
Our teams are here for you day and night — monitoring your data pipelines and helping to ensure your mission-critical data is there when you need it, at the level of quality that you expect.
phData’s security and governance frameworks are used by the world’s largest companies to keep their data secure and out of the news. We understand enterprise-grade security. Our processes for configuration, upgrades, patching, and maintenance are fully aligned with enterprise-tested standards and best practices.
