In a constantly evolving technology landscape, the right decision can change every day. We are experts who see the future and develop strategies for success.
For data and analytic teams putting cloud-native and big data workflows into production, Data Engineering and DataOps helps you author, deploy, monitor, and support your data products faster, more reliably, with fewer errors.
Solution Architecture Services
phData utilizes Solution Architects to guide the overall strategy and constantly drive your business and technical objectives.
Solution Architects are hands-on experts in Scala, Spark, and other Data Engineering technologies, including published authors, Apache Committers, and Apache Contributors.
With our expertise and best practices from thousands of Data Engineering projects, we then turn your desired future state into a concrete set of technical and process requirements that ensure the success of even the most complex deployments.
Ingest and catalog data utilizing best-of-breed automation for fast results.
Business and governance metadata is centrally captured and made available so data is easy to find and compliant.
phData provides expert Spark and StreamSets engineering for streaming and batch applications.
Applications are developed faster and are less likely to break in production.
Data Visualization and Serving
Reference architectures use proven data storage, data serving, and visualization technologies and patterns.
Proven patterns ensure that user experience is performant and scalable.
DataOps: Monitor, Manage and Enhance
phData DataOps monitors and manages data pipelines and applications.
- phData Solutions Architects and Engineers instrument all pipelines and applications for active and passive monitoring.
- Pulse automation alerts production support teams of potential problems.
- Monitoring application health and integrity ensures business confidence.
- DataOps teams provide 24×7 intelligent monitoring of deployed applications.