Data encapsulation: Object-oriented programming for hiding data
Encapsulate your data in a simpler way so your users can only see what they need to see.
Data encapsulation resources
Explore a lightweight, scalable cloud-native serverless architecture that uses KEDA and Rook for real-time, automated data anonymization.
Develop Kubernetes-native APIs easily with Apache Camel K and AtlasMap to normalize access to backend services. This tutorial explains each step.
Get hands-on resources for building machine learning models using Red Hat OpenShift Data Science. Learn how to use NLP, Jupyter notebooks, and more.
Analyze real-time game telemetry using Kafka Streams, Red Hat OpenShift Streams for Apache Kafka, and the Developer Sandbox for Red Hat OpenShift.
Explore different data visualization methods that can help you better understand your data and improve your machine learning models.
Learn how Thoth gathers and analyzes data to create advice through a case study about a recent runtime issue inspection when importing TensorFlow 2.1.0.