Elevate your Databricks experience with Amdocs data and intelligence solutions
Deploying Databricks in complex, regulated and data-intensive environments can be challenging – especially with varying levels of data maturity and diverse platform requirements.
Our strong history helping organizations identify their critical needs and fully leverage Databricks' capabilities sets us apart. Through our structured platform approach, we've developed reusable intellectual property such as policy-driven blueprints, reference architectures and optimisation tools to ensure your Databricks implementation is efficient and operates at peak performance.
How we can help:
- Accelerate time-to-value for new Databricks implementations: Whether you’re just beginning with Databricks or transitioning from legacy on-premises data environments like Hadoop, our platform-centric methodology expedites the realisation of Databricks’ benefits.
- Address governance for established Databricks users: For seasoned Databricks customers, implementing a data mesh with Sourced can resolve governance issues, enabling scalability, rapid access to data products and the availability of high-quality data for ML use cases.
- Cut Databricks costs: Unmonitored, Databricks costs can spiral due to misconfigurations or inefficient use. Our FinOps specialists identify cost-saving opportunities, reducing infrastructure expenses by over 90%.
- Scale ML operations efficiently: While many enterprises succeed in deploying initial ML models, scaling them is often a challenge. Our platform approach integrates security, governance, compliance, observability and best practices, empowering your data science teams to scale ML models more effectively and maximise ROI.
