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As you look to accelerate the delivery of all types of cloud-native applications, you need to consider how your database and analytics workloads figure into their equation.
By centering your database and data analytics workload development and deployment on a Kubernetes-based container, you can create a more efficient and speedy data life cycle.
Access this white paper to learn the 5 main steps of the data life cycle and explore how Red Hat OpenShift delivers key capabilities for database and data analytics workloads across hybrid cloud environments.