- Architecting Intelligence
- Data Management
- Data Engineering
- Data Science
- Customer Experience
- Cloud Services
Craft winning data strategies that drives a data-driven decision-making style across your organization. Assess your enterprise readiness for your business requirements, from a focused application implementation to hosting and managing deep analytics. Develop coherent data strategies for the cloud, including plans for the adoption and migration of key data architecture and solutions to the cloud.
Evaluate your enterprise analytics readiness and data availability to embark on a Data Engineering project. Understand key business and IT gaps to mitigate them early on and develop a roadmap that places the business at the center of the implementation.
Assess the current cloud strategy in place, determine the additional Data Engineering needs like data migration and understand the application fit for implementation. Dissect the scope of moving to the cloud to develop a comprehensive cloud adoption roadmap.
Perform an analysis of the current container and cloud adoption strategies to determine the Data Engineering needs across hybrid cloud, multi-cloud, and edge deployments with the RedHat OpenShift container platform.
Analyze the data connectivity needs to be met by our data storage platform, Enterprise Data Bus, and access a modular, containerized architecture that unifies all major data ecosystem components.