AiOps & Multi-Cloud Engineering
$ Introduction to Multi-Cloud Engineering />
$ Overview of Cloudera: Features and Capabilities />
$ AWS Fundamentals: Services and Architecture />
$ Integrating Cloudera with AWS: An Overview />
$ Data Ingestion Techniques in Cloudera />
$ Deploying Cloudera in AWS: Best Practices />
$ Setting Up AWS for Multi-Cloud Operations />
$ AI/ML in Cloudera: Use Cases and Applications />
$ Data Governance in Multi-Cloud Environments />
$ Building Data Lakes with Cloudera and AWS />
$ Leveraging AWS Glue for Data Transformation />
$ Implementing Data Security in Cloudera on AWS />
$ Performance Tuning Cloudera on AWS />
$ Using Apache Spark on Cloudera for AI/ML />
$ Monitoring Multi-Cloud Environments with Cloudera />
$ Cost Management Strategies for AWS and Cloudera />
$ AI-Driven Insights with Cloudera Data Science Workbench />
$ Real-Time Data Processing with Cloudera />
$ Architecting High Availability with Cloudera and AWS />
$ CloudFormation for Automating AWS Deployments />
$ Using Cloudera Navigator for Data Management />
$ Data Visualization Tools in Cloudera />
$ AWS S3 as a Data Repository for Cloudera />
$ Building CI/CD Pipelines for Cloudera Applications />
$ Implementing AI Operations in AWS />
$ Case Studies: Successful Cloudera Deployments in AWS />
$ Exploring Cloudera Machine Learning (CML) />
$ Networking Best Practices for Multi-Cloud Solutions />
$ Leveraging AWS Lambda for Serverless AI Applications />
$ Data Migration Strategies to AWS and Cloudera />
$ Understanding the Cloudera Ecosystem: Tools and Components />
$ Integrating AWS Services with Cloudera Analytics />
$ Scalable Data Architecture with AWS and Cloudera />
$ Using Apache NiFi for Data Flow Management />
$ Creating ETL Pipelines with Cloudera and AWS />
$ AI-Driven Predictive Maintenance in Cloud Environments />
$ Understanding and Managing Data Silos />
$ Cloudera Data Warehouse: An Overview />
$ AI/ML Model Deployment on AWS />
$ Troubleshooting Common Issues in Cloudera and AWS />
$ Creating a Disaster Recovery Plan for Multi-Cloud />
$ Utilizing AWS EC2 for Cloudera Workloads />
$ Governance and Compliance in Multi-Cloud />
$ Implementing Apache Kafka with Cloudera and AWS />
$ Using Amazon Redshift for Data Warehousing with Cloudera />
$ Best Practices for Data Backup and Recovery />
$ AI Ethics in Data Handling />
$ Performance Monitoring Tools for Cloudera on AWS />
$ Using Cloudera for IoT Data Processing />
$ Collaborative Tools for Multi-Cloud Teams />
$ Data Quality Management in Cloudera />
$ Implementing Machine Learning Models in Cloudera />
$ Using AWS CloudTrail for Compliance Monitoring />
$ Exploring Cloudera's Security Features />
$ Creating Dashboards with Cloudera and AWS />
$ Understanding Multi-Cloud Interoperability />
$ Developing an AI Strategy for Cloud Operations />
$ Advanced Analytics with Cloudera Data Science Workbench />
$ Future Trends in Multi-Cloud AI Operations />
$ Capstone Project: Building a Complete Multi-Cloud Solution />