Module #3 Cloud Data Management Challenges Understanding the challenges of managing data in cloud environments
Module #4 Cloud Data Security and Compliance Overview of cloud data security and compliance requirements
Module #5 Data Governance in Cloud Environments Understanding data governance principles and best practices in cloud environments
Module #6 Cloud-Based Data Integration Overview of cloud-based data integration tools and techniques
Module #7 Cloud Data Warehousing and Analytics Understanding cloud-based data warehousing and analytics solutions
Module #8 Cloud-Based NoSQL Databases Overview of cloud-based NoSQL databases and their use cases
Module #9 Cloud-Based Relational Databases Overview of cloud-based relational databases and their use cases
Module #10 Cloud Storage Services (Object Storage, File Storage, Block Storage) Deep dive into cloud storage services and their use cases
Module #11 Cloud Data Lakes and Data Warehouses Understanding cloud data lakes and data warehouses, and their differences
Module #12 Data Ingestion and Processing in Cloud Environments Overview of data ingestion and processing techniques in cloud environments
Module #13 Cloud-Based ETL and ELT Understanding cloud-based ETL and ELT tools and techniques
Module #14 Cloud-Based Data Quality and Data Cleansing Overview of cloud-based data quality and data cleansing tools and techniques
Module #15 Cloud-Based Data Governance and Metadata Management Understanding cloud-based data governance and metadata management best practices
Module #16 Cloud Cost Optimization and Resource Management Overview of cloud cost optimization and resource management strategies
Module #17 Cloud Data Backup and Recovery Understanding cloud data backup and recovery strategies and best practices
Module #18 Cloud Data Archiving and Tiering Overview of cloud data archiving and tiering strategies and best practices
Module #19 Cloud-Native Data Management Tools and Services Overview of cloud-native data management tools and services (e.g. AWS Lake Formation, Azure Synapse Analytics)
Module #20 Multi-Cloud Data Management Strategies Understanding multi-cloud data management strategies and best practices
Module #21 Hybrid and Edge Computing Data Management Overview of hybrid and edge computing data management strategies and best practices
Module #22 Cloud Data Management for AI and Machine Learning Understanding cloud data management for AI and machine learning workloads
Module #23 Cloud Data Management Best Practices and Governance Overview of cloud data management best practices and governance frameworks
Module #24 Course Wrap-Up & Conclusion Planning next steps in Data Management in Cloud Environments career
