Advanced Certificate in Cloud-Native Self-Care Data
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⢠Advanced Cloud-Native Architecture: Designing cloud-native applications and systems for self-care data, including microservices, containers, and Kubernetes.
⢠Data Security & Compliance in the Cloud: Implementing encryption, authentication, authorization, and other security measures to ensure compliance with regulations and industry standards.
⢠Data Orchestration & Management: Leveraging big data tools and frameworks like Apache Hadoop, Spark, and Kafka to manage and process large volumes of self-care data in real-time.
⢠Cloud-Native Machine Learning & AI: Applying machine learning and artificial intelligence techniques to analyze self-care data and gain insights for better decision-making.
⢠Serverless Computing & Event-Driven Architecture: Building cloud-native applications using serverless computing and event-driven architecture for greater scalability and flexibility.
⢠DevOps & CI/CD for Cloud-Native Applications: Implementing DevOps practices and continuous integration and delivery (CI/CD) pipelines for cloud-native applications and systems.
⢠Observability & Monitoring in the Cloud: Monitoring and troubleshooting cloud-native applications and systems using tools like Prometheus, Grafana, and ELK stack.
⢠Cloud-Native Data Storage & Management: Designing and implementing cloud-native data storage and management solutions, including NoSQL databases, object storage, and block storage.
⢠Cloud-Native Networking & Security: Configuring and managing cloud-native networking and security solutions, including virtual networks, load balancers, and firewalls.
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