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Explore Cloud Data Warehousing: 1. Introduction to Cloud Data Warehousing: Learn essential concepts, platform significance, and popular cloud options (e.g., Redshift, BigQuery, Snowflake). 2. Cloud Architecture for Data Warehousing: Dive into the architecture, layers, and benefits of cloud data warehousing. 3. Designing a Cloud Data Warehouse: Master data modeling, schema design, and performance optimization techniques in the cloud. 4. Loading Data into Cloud Warehouses: Explore ETL, data ingestion methods, and real-time loading approaches. 5. Querying and Analysis in the Cloud: Develop SQL skills, leverage analytical functions, and manage large datasets. 6. Data Storage and Partitioning: Understand storage formats, partitioning, and data distribution for performance. 7. Performance and Scalability Management: Optimize resource allocation, monitor performance, and troubleshoot issues. 8. Security, Compliance, and Integration: Ensure data security, integrate services, and adhere to compliance standards. 9. Data Governance and Quality in Cloud: Implement governance, maintain data quality, and master data management. 10. Cost Management and Optimization: Navigate pricing models, strategies for cost control, and cost estimation. 11. Advanced Analytics and ML Integration: Explore analytics and ML within the warehouse for predictive insights.
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