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10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages
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Data Management in Cloud Environments
( 24 Modules )

Module #1
Introduction to Cloud Computing
Overview of cloud computing, its benefits, and key concepts
Module #2
Cloud Storage Fundamentals
Understanding cloud storage models, types, and characteristics
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


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