snowflake data engineering
We are honored to be awarded Snowflake's 2020 Emerging Partner of the Year!
Siloed data is a competitive advantage that’s left on the table. 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 — helping you transform messy, heterogeneous data to inform crucial business decisions.
snowflake data engineering Offerings
Get the services and expertise you need to succeed with Snowflake:
Data Modernization
Prepare your organization to become a truly data-driven enterprise. We help you define your data strategy and implement tested, sustainable frameworks and tooling for successful delivery.
Data Engineering
Execute and deliver the data products that deliver results and drive your business forward.
Deliver data products in weeks, not months
Greater scalability at lower costs
Say goodbye to gigantic data warehouse contracts. We’ve invested in building customized tooling and automation on Snowflake that not only delivers results faster, but also more cost effectively — especially in concert with Snowflake’s pay-what-you-use pricing model.
Proven approaches for faster time-to-value
Whether you’re migrating your existing on-premises data warehouse to Snowflake or building an all-new cloud-native solution, our Snowflake specialists help you break down data silos faster — with proprietary tooling like phData SQLMorph and open source tooling like Streamliner to speed data ingestion.
More powerful insights
Once data is hydrating your cloud data warehouse, our experienced engineers are at your disposal to identify and build the data products your business needs — combining data from disparate, heterogeneous sources to set your projects up for success.
A strong foundation for future success
We help you set up sustainable processes to deliver stable data products — all grounded on sound engineering principles, Snowflake-specific best practices, and established CI/CD processes — with tooling for configuration-driven development and higher coding standards.
Why phData data engineering on Snowflake?
Cloud and data migration confidence
- Snowpipe for Object Storage ingestion
- Apache Kafka for stream processing
- Attunity or HVR for CDC integration
- StreamSets or NiFi for pipeline work
- Airflow or Azure DW for pipeline orchestration
Depth of expertise over breadth of manpower
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.
- Configure your Snowflake environment for burstable workloads, and tune it to meet your needs and drive down cost
- CI/CD integration with GitHub or Bitbucket and Jenkins
- Standardize logging to generate metrics needed to pinpoint application performance
- Research and contribute to the open-source tools your enterprise relies on
Smart software + human services and expertise
- Configuration-driven ingest with Pipewrench — thousands of pipelines in minutes
- Automatically transform workloads for the cloud with phData SQLMorph
