
Master data cleaning techniques using Fabric and OpenAI to transform chaotic datasets into valuable insights, enhancing your data quality skills for improved analysis and decision-making.

Explore key considerations for cloud data migration, including costs, services, and potential challenges. Gain insights for informed decision-making and successful implementation.

Design, implement, and maintain scalable lakehouse architectures using Apache Spark, Kafka, Flink, Delta Lake, AWS, and open-source tools. Enhance data potential through advanced analytics and machine learning.

Explore distributed tracing with OpenTelemetry on Kubernetes for effective troubleshooting and observability in complex cloud-native applications.

Enhance developer experience and accelerate app development on OpenShift 4.0 using ODC's web console and odo's CLI for seamless deployment and continuous integration.

Explore Podman's daemonless container engine, its advantages over Docker, and related tools for efficient container management and deployment.

Explore GitOps implementation using ArgoCD, focusing on streamlined deployment and management of Kubernetes applications through Git-based workflows.

Automate CI/CD pipelines using Ansible Automation Platform and Jenkins on OpenShift for efficient, scalable, and human-intervention-free development workflows.

Simplify cloud-native app development with OpenShift & Serverless Functions extension. Create, debug, and deploy applications on hybrid-cloud infrastructure using VS Code and IntelliJ. Explore serverless functions with Knative integration.

Explore GitOps, CI/CD, and MLOps integration in OpenShift development workflows. Learn to leverage Jupyter Notebooks, OpenShift Pipelines, and ArgoCD for efficient intelligent application management.

Discover how OpenShift Database Access simplifies database management, enabling self-service provisioning and access control across providers while enhancing visibility and governance for admins.

Explore Quarkus, a modern Java framework for cloud-native apps, and learn to develop supersonic subatomic Java applications targeting Kubernetes environments.

Discover the latest developer tools and features in OpenShift 4.13, enhancing your cloud-native application development experience.

Explore observability in Quarkus applications: learn Microprofile Health, Metrics, Fault Tolerance, and tracing. Master instrumenting, business metrics, and Micrometer for enhanced application monitoring.

Explore observability in Quarkus apps: health checks, metrics, fault tolerance, tracing. Learn best practices for transactions, business metrics, and application flow.

Explore fine-grained API authorization using 3scale and systems like Keycloak and Open Policy Agent. Learn about mechanisms, benefits, and implementation challenges.

Discover Multiplying Architecture: reuse UI components across platforms for efficient, cohesive tooling experiences. Learn to integrate on VS Code, Web, Desktop, and GitHub with minimal code changes.

Explore Spring concepts in Quarkus, comparing implementations, testing approaches, and Dev Services. Build a Quarkus version of a Spring app through live coding.

Deploy Java serverless functions across multiple cloud platforms using Quarkus Funqy, a portable API for creating functions compatible with AWS, Azure, Google Cloud, and KNative.

Implement an active learning pipeline on OpenShift using open-source tools for dynamic data labeling and improved model accuracy in machine learning operations.

Accelerate Java development with open-source tools. Learn time-saving techniques for coding, testing, and deployment to boost productivity and enjoyment in your projects.