Experience the synergy of collaboration with our partnership with Databricks, where cutting-edge data analytics and AI technology converge. Our joint efforts bring you unparalleled insights, efficiency, and scalability to transform your data into actionable intelligence.
Experience the synergy of collaboration with our partnership with Databricks, where cutting-edge data analytics and AI technology converge. Our joint efforts bring you unparalleled insights, efficiency, and scalability to transform your data into actionable intelligence
Rubix Solutions is an official partner of Databricks, offering a comprehensive data and analytics platform that has significantly benefited the Centers for Medicare and Medicaid Services (CMS). With its unified analytics platform in Databricks, Rubix Solutions team enables CMS to seamlessly integrate and analyze vast healthcare data from disparate sources.
The platform’s collaborative environment facilitates efficient collaboration among CMS teams, fostering innovation and data-driven decision-making. Databricks also provides advanced analytics and machine learning capabilities, empowering CMS to derive actionable insights, optimize healthcare processes, and enhance patient outcomes. Ultimately, by leveraging Databricks, we assist CMS in streamlining data management, accelerating analytics, and enhancing the overall efficiency and effectiveness of healthcare delivery.
As an official partner, we access and leverage Databricks training and sandbox resources for our industry-leading technical staff.
Rubix Solutions is an official partner of Databricks, offering a comprehensive data and analytics platform that has significantly benefited the Centers for Medicare and Medicaid Services (CMS). With its unified analytics platform in Databricks, Rubix Solutions team enables CMS to seamlessly integrate and analyze vast healthcare data from disparate sources.
The platform’s collaborative environment facilitates efficient collaboration among CMS teams, fostering innovation and data-driven decision-making. Databricks also provides advanced analytics and machine learning capabilities, empowering CMS to derive actionable insights, optimize healthcare processes, and enhance patient outcomes. Ultimately, by leveraging Databricks, we assist CMS in streamlining data management, accelerating analytics, and enhancing the overall efficiency and effectiveness of healthcare delivery.
As an official partner, we access and leverage Databricks training and sandbox resources for our industry-leading technical staff.
Rubix Solutions is an official partner of Databricks, offering a comprehensive data and analytics platform that has significantly benefited the Centers for Medicare and Medicaid Services (CMS). With its unified analytics platform in Databricks, Rubix Solutions team enables CMS to seamlessly integrate and analyze vast healthcare data from disparate sources.
The platform’s collaborative environment facilitates efficient collaboration among CMS teams, fostering innovation and data-driven decision-making. Databricks also provides advanced analytics and machine learning capabilities, empowering CMS to derive actionable insights, optimize healthcare processes, and enhance patient outcomes. Ultimately, by leveraging Databricks, we assist CMS in streamlining data management, accelerating analytics, and enhancing the overall efficiency and effectiveness of healthcare delivery.
As an official partner, we access and leverage Databricks training and sandbox resources for our industry-leading technical staff.
What is Databricks?
Databricks combines data warehouses & data lakes into a Lakehouse architecture. It is a unified set of tools for building, deploying, sharing, and maintaining enterprise-grade data solutions at scale that works seamlessly with AWS, Azure, or GCP.
Why do we partner with Databricks?
- Maintenance burden and downtime were reduced significantly compared to current tools.
- Vendor support is top-notch.
- Compute time comparisons always the best performance.
- Available libraries to support a variety of analytic types.
- Programming flexibility in R and Python.
- On-demand compute.
